CN115584941B - Digital well site drilling fluid management system - Google Patents
Digital well site drilling fluid management system Download PDFInfo
- Publication number
- CN115584941B CN115584941B CN202211370176.7A CN202211370176A CN115584941B CN 115584941 B CN115584941 B CN 115584941B CN 202211370176 A CN202211370176 A CN 202211370176A CN 115584941 B CN115584941 B CN 115584941B
- Authority
- CN
- China
- Prior art keywords
- module
- drilling fluid
- drilling
- well
- digital
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005553 drilling Methods 0.000 title claims abstract description 355
- 239000012530 fluid Substances 0.000 title claims abstract description 272
- 238000004458 analytical method Methods 0.000 claims abstract description 112
- 238000007726 management method Methods 0.000 claims abstract description 111
- 238000004140 cleaning Methods 0.000 claims abstract description 76
- 238000005457 optimization Methods 0.000 claims abstract description 57
- 239000000463 material Substances 0.000 claims abstract description 45
- 238000004088 simulation Methods 0.000 claims abstract description 36
- 238000011282 treatment Methods 0.000 claims abstract description 34
- 238000010276 construction Methods 0.000 claims abstract description 16
- 238000004519 manufacturing process Methods 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 11
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000004364 calculation method Methods 0.000 claims description 50
- 238000005520 cutting process Methods 0.000 claims description 34
- 238000013461 design Methods 0.000 claims description 25
- 239000002699 waste material Substances 0.000 claims description 19
- 239000011435 rock Substances 0.000 claims description 18
- 230000005856 abnormality Effects 0.000 claims description 16
- 238000012546 transfer Methods 0.000 claims description 16
- 238000006073 displacement reaction Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 12
- 238000004422 calculation algorithm Methods 0.000 claims description 5
- 239000007788 liquid Substances 0.000 claims description 5
- 239000002002 slurry Substances 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 238000013523 data management Methods 0.000 claims description 4
- 238000013502 data validation Methods 0.000 claims description 3
- 238000012552 review Methods 0.000 claims 3
- 238000011065 in-situ storage Methods 0.000 claims 1
- 230000006870 function Effects 0.000 abstract description 5
- 230000009467 reduction Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 13
- 238000011161 development Methods 0.000 description 12
- 239000002245 particle Substances 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 5
- 230000003749 cleanliness Effects 0.000 description 3
- 238000004062 sedimentation Methods 0.000 description 3
- 238000012795 verification Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 230000003670 easy-to-clean Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000013508 migration Methods 0.000 description 2
- 230000005012 migration Effects 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000012550 audit Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007728 cost analysis Methods 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000011418 maintenance treatment Methods 0.000 description 1
- 235000013372 meat Nutrition 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000003209 petroleum derivative Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 239000004557 technical material Substances 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000004457 water analysis Methods 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B21/00—Methods or apparatus for flushing boreholes, e.g. by use of exhaust air from motor
- E21B21/08—Controlling or monitoring pressure or flow of drilling fluid, e.g. automatic filling of boreholes, automatic control of bottom pressure
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Earth Drilling (AREA)
Abstract
The invention provides a digital well site drilling fluid management system which comprises a real-time data acquisition unit, a digital shaft simulation unit and a parameter optimization unit. The real-time data acquisition unit is used for acquiring drilling basic data in the drilling process; the digital shaft simulation unit comprises an ECD analysis module, a well cleaning simulation module and a friction torque analysis module, and is used for generating three corresponding analysis results, sending the analysis results to the parameter optimization unit to determine an optimization value of drilling basic data, and optimizing drilling fluid. The system also comprises the functions of production operation, job management, material management, early warning treatment, remote support and the like. The invention can monitor, analyze and optimize the performance of drilling fluid in real time, ensure the underground safety, effectively optimize the working mode, standardize the service flow, improve the working efficiency, realize the burden reduction of a base layer and promote the digital construction of drilling.
Description
Technical Field
The invention relates to the field of petroleum and natural gas drilling, in particular to a digital well site drilling fluid management system.
Background
Petroleum drilling enters a scientific drilling stage from an empirical drilling stage to a drilling development stage, and the drilling technology is initially automated and gradually matured. The drilling engineering software is one of the important means for realizing automatic and intelligent drilling, the drilling fluid is used as the blood of the drilling engineering, the drilling fluid is related to the blood and meat of the drilling engineering, and when the drilling engineering software is developed, the drilling fluid is used as a professional module for developing and realizing related simulation and calculation. Drilling fluid technology related software has also made tremendous progress over the last 30 years, from early computing programs to systematic specialty software.
At present, drilling fluid engineering software development at home and abroad is researched in the aspect of drilling fluid hydraulic calculation. The foreign drilling fluid engineering software has been developed for more than 30 years, and the currently commercialized engineering software is mostly developed by large technical service companies such as Halliburton, schlumberger and the like, and small and medium service companies such as Paradigm, SPTGroup (China oil energy group) and the like. The Landmark drilling engineering software developed by Halliburton company can perform drilling fluid hydraulics calculation, excitation and swabbing pressure calculation and well control calculation; the DrillingOffice drilling engineering design software developed by Schlumberger can also realize hydraulic calculations such as ECD (Equivalent Circulating Density, cycle equivalent density) calculation and borehole cleaning analysis; the drilling engineering software Sysdrill developed by Paradigm corporation includes a hydraulics module and a temperature module that simulate the flow of drilling fluid under high temperature and high pressure conditions and the ECD downhole. The development of the domestic drilling fluid engineering software is started later and has only more than 10 years of development experience. The system is widely applied, such as a drilling engineering design system DPS2.0 which is researched and developed by a drilling institute of China oil exploration and development, a drilling hydraulic parameter design and analysis software system which is researched and developed by petroleum university, a drilling fluid calculation software V2.0 which is developed by Beijing petroleum university, a drilling fluid rheological parameter optimization application software which is developed by China oil and gas main company, and the like. For example, the invention patent application published for 3/5/2021 and CN112446560a discloses a shale gas horizontal well borehole cleaning integrated monitoring and evaluation system, which can comprise: the information collection module outside the body comprises friction, torque, hook load, ECD, residual amount of underground rock debris and other information; and the software analysis module in the body is used for summarizing the information and realizing the cleaning monitoring and evaluation of the well. The system can process the information according to the monitored friction torque, ECD, residual underground rock debris and other data through an established evaluation system, so that the monitoring and evaluation of borehole cleaning are realized, and guidance is provided for site construction. Although the results obtained by the research on the development of the hydraulic calculation software of the drilling fluid are worth affirming, the software cannot meet the requirement of specialized development of the drilling fluid.
At present, the oilfield industry in China develops rapidly, and in addition to the competitive environment of the oilfield industry, oilfield companies have higher and higher requirements on management systems. The simple and single-functional system can not meet the requirements of specialized development of drilling fluid, and comprehensive drilling fluid application software integrating hydraulic analysis, risk prediction, production operation and data subtraction is lacking in the current market.
Disclosure of Invention
The present invention aims to address at least one of the above-mentioned deficiencies of the prior art. For example, one of the purposes of the invention is to develop and form a drilling fluid digital working platform, establish an intelligent field working mode for driving work by data information, standardize and standardize a propelling operation field, improve the production operation and technical management level of a drilling fluid team, reduce the drilling risk and improve the benefit, and realize the digital transformation of the drilling fluid operation.
To achieve the above object, in one aspect, the present invention provides a digital wellsite drilling fluid management system, the digital wellsite drilling fluid management system comprising: the system comprises a real-time data acquisition unit, a digital wellbore simulation unit and a parameter optimization unit.
The real-time data acquisition unit is used for acquiring drilling basic data in the drilling process, wherein the drilling basic data can comprise drilling fluid density, drilling fluid displacement, drilling fluid fluidity index and consistency coefficient, drilling tool combination, well body structure and engineering parameters.
The digital wellbore simulation unit may include an ECD analysis module, a wellbore cleaning simulation module, and a friction torque analysis module, wherein the ECD analysis module is connected with the real-time data acquisition module for determining a first analysis result according to an ECD algorithm model, and the first analysis result may include drilling fluid equivalent circulating density and annulus pressure consumption.
The wellbore cleaning simulation module is connected with the real-time data acquisition module and is used for determining a second analysis result according to the wellbore cleaning calculation model, wherein the second analysis result can comprise critical displacement, critical annular return speed, transmission ratio and relative thickness of a cuttings bed.
More preferably, the wellbore cleaning simulation module further comprises a first cleaning zone module and a second cleaning zone module.
The first cleaning area module is connected with the well cleaning calculation model, and when the rock debris transmission ratio R t calculated by the well cleaning calculation model is smaller than 0.5, the second analysis result is sent to the parameter optimization unit.
And the second cleaning area module is connected with the well cleaning calculation model, and when the relative thickness H of the rock debris bed calculated by the well cleaning calculation model is more than 10%, the second analysis result is sent to the parameter optimization unit.
The friction torque analysis module is connected with the real-time data acquisition module and is used for determining a third analysis result according to the friction torque analysis model, wherein the third analysis result can comprise friction force and torque.
Optionally, the friction torque analysis module comprises a calculation module, a drawing module, a friction coefficient module and an optimization judgment module.
Wherein the calculation module is connected with the friction coefficient module and is configured to calculate friction torque and/or hook load according to parameters such as borehole track, drilling tool combination, drilling fluid density and the like and the friction coefficient.
The drawing module is connected with the calculating module and is configured to acquire the friction torque and/or the hook load for projection superposition to form a friction torque diagram.
The friction coefficient module is connected with the drawing module and is configured to acquire a friction coefficient and evaluate the friction coefficient according to the friction torque map.
The optimization judgment module is connected with the friction coefficient module and is configured to confirm the third analysis result according to the friction coefficient.
The parameter optimization unit is connected with the digital wellbore simulation unit and used for determining an optimized value of the drilling basic data according to the first analysis result, the second analysis result and/or the third analysis result.
In an exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise an online monitoring unit comprising a drilling fluid performance analysis module, an adjacent well fault curve drawing module, and a drilling fluid performance design module.
The drilling fluid performance analysis module is connected with the real-time data acquisition unit and is used for analyzing the drilling fluid real-time performance data and drawing a drilling fluid performance change trend chart. And the adjacent well fault curve drawing module is used for drawing an adjacent well leakage density curve and an adjacent well overflow density curve according to the adjacent well fault data. The drilling fluid performance design module is used for drawing a main performance design interval chart according to well control safety design drilling fluid performance data and adjacent well fault data curves.
In one exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise an early warning treatment unit for generating early warning information and treatment plans from the drilling fluid flow real-time data validation.
Optionally, the early warning treatment unit includes an early warning module, a lost circulation treatment module, and an overflow treatment module.
The early warning module is used for analyzing the real-time data of the drilling fluid flow and generating early warning information, and the early warning information comprises well leakage abnormality and overflow abnormality.
The lost circulation disposal module is connected with the early warning module and is used for receiving early warning information of lost circulation abnormality and automatically generating a lost circulation measure scheme and a lost circulation slurry formula by combining lost circulation data in a lost circulation database.
The overflow disposal module is connected with the early warning module and is used for receiving early warning information of overflow abnormality, completing overflow well-killing operation simulation and outputting well-killing liquid density reference data.
Optionally, the early warning treatment unit further comprises an early warning rechecking module, wherein the early warning rechecking module is used for rechecking the early warning information, and when rechecking judges that the real-time data of the drilling fluid flow is normal, the early warning is released.
In an exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise a flow management unit for managing a drilling fluid on-site production run flow, including a drilling fluid transfer module, a waste disposal module, and a drilling fluid cart scheduling module.
The drilling fluid transfer module is used for managing drilling fluid demand application in a flow mode, the waste treatment module is used for managing waste treatment requests in a flow mode, and the drilling fluid vehicle scheduling module is used for managing special vehicle demand application in a flow mode.
In an exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise a job management unit for managing conventional work of a drilling fluid engineer, including a drilling fluid job module, QHSE management module, personnel management module, and technical data management module.
In an exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system further comprises a material management module for managing the flow of the full life cycle of the drilling fluid material, including a construction plan module, a month plan module, a material application module, a material consumption module, a temporary data module, a material transfer module, and a material moving module.
Compared with the prior art, the invention has the beneficial effects that at least one of the following contents is included:
(1) The invention provides a digital well site drilling fluid management system which can effectively optimize a working mode, standardize a service flow, improve working efficiency, realize base layer load reduction and promote digital construction of drilling.
(2) The invention provides a digital well site drilling fluid management system, which can perform ECD analysis in real time so as to optimize the performance of drilling fluid, adjust the discharge capacity of the drilling fluid, prevent underground leakage and ensure underground safety; the performance index and drilling parameters of the drilling fluid can be optimized, the cleaning of the well bore is ensured, and the occurrence of underground complex faults caused by poor cleaning of the well bore is prevented and reduced; the friction torque can be calculated and analyzed, and the friction torque is controlled to be in an ideal interval by optimizing the drilling tool assembly and adjusting the drilling fluid performance, so that the safety of the downhole tool is ensured, and the occurrence of downhole faults is prevented.
(3) The invention provides a digital well site drilling fluid management system, which can reduce drilling risk, discover the condition of well bottom fluid invading into drilling fluid in time, prevent underground safety accidents caused by massive fluid invading, realize early warning function on key indexes such as density, fluid loss and the like, and prevent well control safety from being influenced due to the fact that key drilling fluid parameters are not in accordance with design requirements.
Drawings
The foregoing and other objects and/or features of the invention will become more apparent from the following description taken in conjunction with the accompanying drawings in which:
FIG. 1 illustrates a flow diagram of a digital wellbore of one exemplary embodiment of a digital wellsite drilling fluid management system of the present invention.
FIG. 2 illustrates a flow chart of a wellbore cleaning condition calculation analysis program of one exemplary embodiment of the digital wellsite drilling fluid management system of the present invention.
FIG. 3 illustrates a flow diagram of an online monitoring module of an exemplary embodiment of a digital wellsite drilling fluid management system of the present invention.
FIG. 4 illustrates a flow diagram of an early warning module of an exemplary embodiment of a digital wellsite drilling fluid management system of the present invention.
FIG. 5 illustrates a flow diagram of production run modules of one exemplary embodiment of a digital wellsite drilling fluid management system of the present invention.
FIG. 6 illustrates a flow diagram of a job management module of one exemplary embodiment of the digital wellsite drilling fluid management system of the present invention.
FIG. 7 illustrates a flow diagram of a material management module of one exemplary embodiment of a digital wellsite drilling fluid management system of the present invention.
FIG. 8 illustrates a flow diagram of a remote command module of an exemplary embodiment of the digital wellsite drilling fluid management system of the present invention.
Detailed Description
Hereinafter, the digital wellsite drilling fluid management system of the present invention will be described in detail in connection with exemplary embodiments.
It should be noted that the terms "first," "second," "third," and the like are merely used for convenience of description and for convenience of distinction and are not to be construed as indicating or implying relative importance.
The drilling fluid engineering software is an important component of the modern drilling fluid technology, and is a centralized embodiment of the engineering, informatization and intellectualization of the drilling fluid technology. The drilling fluid engineering software development is a system engineering, how to make architecture design, and integrates different functional modules into a unified platform, thus having important significance for realizing the advancement of the whole engineering software system. And along with the expansion of drilling engineering construction to complex areas and the development of new drilling technology and new technology, the drilling engineering is increasingly dependent on the support of a software system, such as drilling fluid equivalent circulating density analysis, borehole cleaning condition analysis, friction torque analysis and the like. In order to solve the problems, the inventor provides a digital well site drilling fluid management system which can integrate hydraulic analysis, risk prediction, production management and data burden reduction, so that the drilling fluid can be effectively unified and managed.
To achieve the above objects, in one aspect, the present invention provides a digital wellsite drilling fluid management system.
In one exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the digital wellsite drilling fluid management system comprises the following units: the system comprises a real-time data acquisition unit, a digital wellbore simulation unit and a parameter optimization unit.
The real-time data acquisition unit is used for acquiring drilling basic data in the drilling process, wherein the drilling basic data can comprise drilling fluid density, drilling fluid displacement, drilling fluid fluidity index and consistency coefficient, drilling tool combination, well body structure and engineering parameters.
The digital wellbore simulation unit may include an ECD analysis module, a wellbore cleaning simulation module, and a friction torque analysis module, wherein the ECD analysis module is coupled to the real-time data acquisition module for determining a first analysis result based on the ECD algorithm model, the first analysis result may include drilling fluid equivalent circulating density and annulus pressure loss.
The wellbore cleaning simulation module is connected with the real-time data acquisition module and is used for determining a second analysis result according to the wellbore cleaning calculation model, wherein the second analysis result can comprise critical displacement, critical annular return speed, transmission ratio and relative thickness of the cuttings bed.
More preferably, the wellbore cleaning simulation module further comprises a first cleaning zone module and a second cleaning zone module.
The first cleaning area module is connected with the well cleaning calculation model, and when the rock debris transmission ratio R t calculated by the well cleaning calculation model is smaller than 0.5, the second analysis result is sent to the parameter optimization unit.
The second cleaning area module is connected with the well cleaning calculation model, and when the relative thickness H of the rock debris bed calculated by the well cleaning calculation model is more than 10%, the second analysis result is sent to the parameter optimization unit.
The friction torque analysis module is connected with the real-time data acquisition module and is used for determining a third analysis result according to the friction torque analysis model, wherein the third analysis result can comprise friction force and torque.
More preferably, the friction torque analysis module includes a calculation module, a drawing module, a friction coefficient module, and an optimization judgment module. Wherein the calculation module is connected with the friction coefficient module and is configured to calculate friction torque and/or hook load according to parameters such as borehole trajectory, drilling tool combination and drilling fluid density and the friction coefficient. The drawing module is connected with the calculating module and is configured to acquire friction torque and/or hook load to carry out projection superposition to form a friction torque diagram. The friction coefficient module is connected with the drawing module and is configured to acquire the friction coefficient and evaluate the friction coefficient according to the friction torque map. The optimization judgment module is connected with the friction coefficient module and is configured to confirm the third analysis result according to the friction coefficient.
The parameter optimization unit is connected with the digital wellbore simulation unit and is used for determining an optimized value of drilling basic data according to the first analysis result, the second analysis result and/or the third analysis result.
In an exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise an online monitoring unit comprising a drilling fluid performance analysis module, an adjacent well fault curve drawing module, and a drilling fluid performance design module.
The drilling fluid performance analysis module is connected with the real-time data acquisition unit and is used for analyzing the drilling fluid real-time performance data and drawing a drilling fluid performance change trend chart. And the adjacent well fault curve drawing module is used for drawing an adjacent well lost circulation density curve and an adjacent well overflow density curve according to the adjacent well fault data. And the drilling fluid performance design module is used for drawing a main performance design interval chart according to the well control safety design drilling fluid performance data and the adjacent well fault data curve.
In one exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise an early warning treatment unit for generating early warning information and treatment plans from the drilling fluid flow real-time data validation.
More specifically, the early warning treatment unit includes an early warning module, a lost circulation treatment module, and an overflow treatment module.
The early warning module is used for analyzing the real-time data of the drilling fluid flow and generating early warning information, wherein the early warning information comprises well leakage abnormality and overflow abnormality.
The lost circulation treatment module is connected with the early warning module and is used for receiving early warning information of lost circulation abnormality and automatically generating a lost circulation measure scheme and a lost circulation slurry formula by combining lost circulation data in a lost circulation database.
The overflow disposal module is connected with the early warning module and is used for receiving early warning information of overflow abnormality, completing overflow well-killing operation simulation and outputting well-killing liquid density reference data.
Furthermore, the early warning treatment unit may further include an early warning rechecking module, where the early warning rechecking module is configured to recheck the early warning information, and release the early warning when the rechecking determines that the real-time data of the drilling fluid flow is normal.
In an exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise a flow management unit for managing a drilling fluid on-site production run flow, including a drilling fluid transfer module, a waste disposal module, and a drilling fluid cart scheduling module.
The drilling fluid transfer module is used for managing the drilling fluid demand application in a flow mode, the waste disposal module is used for managing the waste disposal request in a flow mode, and the drilling fluid vehicle dispatching module is used for managing the special vehicle demand application in a flow mode.
In one exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise a job management unit for managing conventional work of a drilling fluid engineer, including a drilling fluid job module, QHSE management module, personnel management module, and technical data management module. QHSE management refers to a management hierarchy that directs and controls an organization in terms of Quality (Quality), health (Health), security (Safety), and environment (environment).
In an exemplary embodiment of the digital wellsite drilling fluid management system of the present invention, the drilling fluid management system may further comprise a material management module for managing the flow of the full life cycle of the drilling fluid material, including a construction plan module, a month plan module, a material application module, a material consumption module, a temporary data module, a material transfer module, and a material moving module.
For a better understanding of the above-described exemplary embodiments of the present invention, it is further described below with reference to specific examples and drawings.
Example 1
The digital well site drilling fluid management system shown in the example has completed the popularization of 21 drilling fluid operation teams, wherein 3 wells are drilled and 21 wells are drilled.
The digital well site drilling fluid management system comprises the following units: a real-time data acquisition unit, a digital wellbore simulation unit and a parameter optimization unit, the workflow of which is shown in figure 1.
The real-time data acquisition unit is used for acquiring drilling basic data in the drilling process, wherein the drilling basic data comprise drilling fluid density, drilling fluid displacement, drilling fluid fluidity index and consistency coefficient, drilling tool combination, well structure and engineering parameters.
More specifically, the underlying data may be grasped through EISS (engineering work intelligent support system).
The digital wellbore simulation unit comprises an ECD analysis module, a wellbore cleaning simulation module and a friction torque analysis module, wherein the ECD analysis module is connected with the real-time data acquisition module and is used for determining a first analysis result according to an ECD algorithm model, the first analysis result comprises drilling fluid equivalent circulating density and annulus pressure consumption, and the first analysis result is updated and displayed in real time in a digital wellsite drilling fluid management system.
The ECD algorithm model may also include the following expression:
ECD＝ρm(1-Ca)+ρsCa+10∑0.1P/H。
Wherein ECD is cyclic equivalent density, g/cm 3;Ca is annular rock debris concentration, and dimensionless; ρ m is the drilling fluid density, g/cm 3; p is annular pressure consumption, mpa; h is vertical well depth, m; ρ s is the cuttings particle density, g/cm 3.
ECD can also be calculated by the following method: confirming annulus return speed, fluidity index and consistency coefficient of the drilling fluid, and further confirming effective viscosity of the drilling fluid; determining the Reynolds number according to the effective viscosity of the drilling fluid, judging and determining the flow state of the drilling fluid in the annulus, and further determining the friction coefficient of the drilling fluid in the annulus; and (5) confirming the circulation pressure consumption of the annular blank well section, the influence factors of rock debris on the ECD and the well depth, and further confirming the ECD value.
The borehole cleaning simulation module is connected with the real-time data acquisition module and used for determining a second analysis result according to the borehole cleaning calculation model, wherein the second analysis result comprises critical displacement, critical annular return speed, transmission ratio and relative thickness of the cuttings bed.
More specifically, the wellbore cleaning simulation module further includes a first cleaning zone module and a second cleaning zone module.
The first cleaning area module is connected with the well cleaning calculation model, and when the rock debris transmission ratio R t calculated by the well cleaning calculation model is smaller than 0.5, the second analysis result is sent to the parameter optimization unit.
The second cleaning area module is connected with the well cleaning calculation model, and when the relative thickness H of the rock debris bed calculated by the well cleaning calculation model is more than 10%, the second analysis result is sent to the parameter optimization unit.
The flow of calculation and analysis of the well cleaning calculation model of the well cleaning simulation module is shown in fig. 2, parameters including annulus parameters (diameter, inclination, inner and outer diameters of drill string), drilling parameters (displacement, drilling rate, mechanical drilling rate), drilling fluid properties (density, viscosity), manually input cuttings parameters (density, particle size) are extracted from the real-time data acquisition unit, critical return rate, critical displacement, cuttings transport ratio and cuttings bed relative thickness are obtained through the well cleaning calculation model, a second analysis result is generated according to the values of the cuttings transport ratio and the cuttings bed relative thickness, and the second analysis result is sent to the parameter optimization unit, and the drilling parameters (displacement, drilling rate, mechanical drilling rate) and drilling fluid properties (density, viscosity) are adjusted so that the finally calculated cuttings transport ratio R t can be greater than or equal to 0.5, and the cuttings bed relative thickness can be less than or equal to 10%.
The borehole cleaning simulation module divides drill cuttings migration into three cleaning areas according to well deviation: the easy-to-clean area (the oblique angle of the low-inclination well Duan Jing is 0-30 degrees), the unstable cuttings bed area (the oblique angle of the medium-inclination well Duan Jing is 30-65 degrees) and the stable cuttings bed area (the oblique angle of the high-inclination well Duan Jing is 65-90 degrees), and the well cleaning calculation model is different due to different drilling cuttings migration mechanisms in different cleaning areas. The wellbore cleaning simulation module can be combined with the real-time data acquisition unit to acquire real-time dynamic data, the wellbore cleaning simulation module is used for calculating through a wellbore cleaning calculation model, and an analysis result is obtained by combining with a pre-judgment standard.
More specifically, the small-inclination well Duan Youyu has small well inclination angle and is an easy-to-clean area, and a rock debris bed is not formed generally, so that the transmission ratio of drill cuttings particles is used as a pre-judging standard for cleaning a well bore, and when the transmission ratio Rt of the drill cuttings particles is more than or equal to 0.5, the construction parameters for determining the cleaning degree of the well bore are excellent; when the transmission ratio Rt of drilling cuttings particles is less than 0.5, determining that the construction parameters of the borehole cleanliness are poor, and adjusting the performance of drilling fluid and/or drilling parameters.
The calculation model of the cleaning condition of the small-inclination well section well bore is as follows:
drill cuttings particle transfer ratio R t calculated: r t＝(Va-Vsx)/Va.
Calculation formula of annulus return speed V a of drilling fluid: v a＝1273.2Qa/(Dh 2-Dp 2).
The sedimentation velocity of drilling cuttings particles at a small-inclination well section V sx is calculated by the formula:
If Re is less than or equal to 10, V sx＝0.32681ds 2(ρs-ρm)/AV.
If Re is more than 10 and less than 100, V sx＝0.07068ds(ρs-ρm)0.6667/(ρmAV)0.3333.
If Re is more than or equal to 100, V sx＝0.0813[ds(ρs-ρm)/ρm]0.5.
Calculation formula of Reynolds number Re of drilling cuttings: re= 1000.52 ρ mVsxds/AV.
In the above formula, V a is the annular return speed of drilling fluid, m/s; v sx is the sedimentation speed of drilling cuttings particles in a small-inclination well section, and m/s; q a is the flow rate of drilling fluid, L/s; d h is the diameter of the well bore (the casing section can be the inner diameter of the casing, the open hole section can be obtained according to the well bore logging, and the well section which does not perform well bore logging yet can be obtained according to the well bore of the same stratum by drilling in real time of the adjacent well), and mm; d p is the outer diameter of the drill rod, and mm; d s is the equivalent diameter of drill cuttings particles, mm; ρ s、ρm is the drill cuttings particle and drilling fluid density, g/cm 3; AV is apparent viscosity of drilling fluid, and mPa.s.
Well cleaning calculation model and pre-judgment standard for middle-slope and high-slope well sections: the middle well section is an unstable cuttings bed area, the highly-inclined well section is a stable cuttings bed area, cuttings are difficult to carry, and the diameter ratio of the cuttings bed thickness to the well bore, namely the relative cuttings bed thickness H, is used as a pre-judging standard for cleaning the well bore. When H is less than or equal to 10%, determining that the construction parameters of the borehole cleanliness are good; when H is more than 10%, the construction parameters of the well bore cleanliness are poor, and the drilling fluid performance or (and) the drilling parameters are required to be adjusted.
And (3) a rock debris bed thickness calculation model: h=0.015D h(μe+6.15μe 0.5)(1+0.587E)(VLzd-Va).
The relative thickness of the cuttings bed (the percentage of the diameter of the borehole occupied by the cuttings bed) is calculated as:
H＝(h/Dh)×100％。
Effective viscosity calculation model: mu e＝K((Dh-Dp)/12Va)1-n((2n+1)/3n)n.
Critical annulus return speed calculation model: v Lzd＝Vszd+Vt.
The well section rock debris sedimentation velocity calculation model with medium inclination and high inclination comprises the following steps:
Vszd＝0.4((600-N)/600)(ds(ρs-ρm)/ρm)0.667((1-0.71*3.14θ/180+0.55sin2θ)/(μeρm)0.333).
calculating a critical cuttings transmission speed calculation model: v t＝0.0056VjxDh 2/(Dh 2-Dp 2).
In the formula, h is the thickness of the rock debris bed and is mm; h, the relative thickness of the rock debris bed is dimensionless; mu e is the effective viscosity, mPas; n and K are drilling fluid fluidity index and consistency coefficient respectively, and are dimensionless; e is the eccentricity of the drill string, and is dimensionless; v Lzd is critical annular return speed, m/s; v a is the annular return speed of the drilling fluid, m/s; v szd is the settlement speed of rock debris in the middle-slope and high-slope well section, and m/s; n is the rotation speed of the drill string, r/min; θ is the well inclination angle, °; v t is the critical cuttings transport speed, m/s; v jx is the rate of penetration, m/s.
The friction torque analysis module is connected with the real-time data acquisition module and is used for determining a third analysis result according to the friction torque analysis model, wherein the third analysis result comprises friction force and torque.
Optionally, the friction torque analysis module may further form friction torque maps for tripping non-rotation, off-bottom idle, sliding drilling, rotary drilling, and tripping rotation based on real-time operating conditions and drill string operating conditions.
The friction torque analysis module can calculate friction torque data according to parameters such as a well track, a drilling tool combination, drilling fluid density and the like according to different friction coefficients.
Further, the friction torque analysis module may further include a calculation module, a drawing module, a friction coefficient module, and an optimization judgment module.
Wherein the calculation module is connected with the friction coefficient module and is configured to calculate friction torque and/or hook load according to parameters such as borehole trajectory, drilling tool combination and drilling fluid density and the friction coefficient.
The drawing module is connected with the calculating module and is configured to acquire friction torque and/or hook load to carry out projection superposition to form a friction torque diagram.
The friction coefficient module is connected to the drawing module and is configured to obtain a friction coefficient and evaluate friction coefficient conditions in the wellbore from the friction torque map.
The optimization judgment module is connected with the friction coefficient module and is configured to confirm the third analysis result according to the friction coefficient. When the friction coefficient is smaller than or equal to the first coefficient value, the third analysis result containing the optimization-free instruction is sent to the parameter optimization unit without further optimization; when the friction coefficient is larger than the first coefficient value, further optimization is required, and a third analysis result including an optimization instruction is sent to the parameter optimization unit.
Optionally, the determining process of the optimization determining module may further include determining an optimization situation of the drilling tool assembly, generating a first optimization instruction including the drilling tool assembly optimization determining result when the drilling tool assembly optimization determining result is that the drilling tool assembly can be optimized continuously, and sending a third analysis result including the first optimization instruction to the parameter optimizing unit. And when the drilling tool combination optimization judging result is that the drilling tool combination cannot be optimized continuously, generating a second optimization instruction containing drilling fluid performance optimization, and sending a third analysis result containing the second optimization instruction to the parameter optimization unit.
More specifically, the friction torque analysis module can be used for analyzing and evaluating friction torque and/or hook load conditions of the tubular column in the well bore under different working conditions by combining with real-time logging data, and projecting the obtained friction torque and/or hook load data to a friction torque diagram for evaluating friction coefficient conditions in the well bore so as to perform predictive analysis of a lower well section. And the parameter optimization unit optimizes the drilling tool combination and adjusts the performance of the drilling fluid according to the third analysis result sent by the optimization judgment module, so that the friction torque is at a lower value. When the friction coefficient is larger than a specific value, the friction torque is judged to be larger, so that the buckling phenomenon occurs in the continuous drilling process, the continuous drilling cannot be performed, and further optimization is needed. If the drilling tool combination optimizing judging result of the optimizing judging module is that the drilling tool combination can be continuously optimized, a first optimizing instruction is generated, a third analyzing result containing the first optimizing instruction is sent to the parameter optimizing unit to optimize the drilling tool combination, whether the friction coefficient is larger than a specific value is continuously judged through the optimizing judging module, and if the friction coefficient is smaller than or equal to the specific coefficient value, the optimization is completed. If the friction coefficient is larger than the specific coefficient value and the drilling tool combination optimization judgment result of the optimization judgment module is that the drilling tool combination cannot be optimized continuously, generating a second optimization instruction, and sending a third analysis result containing the second optimization instruction to the parameter optimization unit for optimizing the performance of the drilling fluid until the friction coefficient is smaller than or equal to the specific coefficient value, and completing optimization. The friction coefficient is reduced through the friction torque analysis module, so that the friction torque is reduced, the buckling phenomenon is eliminated, and continuous drilling is realized.
Optionally, the friction torque analysis module may further include a real-time evaluation module, connected to the friction coefficient module, configured to evaluate friction torque and/or hook load conditions of the string in the wellbore under different conditions based on the real-time logging data.
The parameter optimization unit is connected with the digital wellbore simulation unit and is used for determining an optimized value of drilling basic data according to the first analysis result, the second analysis result and/or the third analysis result.
And the parameter optimization unit compares the equivalent circulating density of the drilling fluid in the first analysis result with the upper limit of the design density of the stratum and the leakage density, so as to timely optimize the performance of the drilling fluid, prevent underground leakage and ensure underground safety. For example, when the equivalent circulating density of drilling fluid in the first analysis result is greater than the design upper density limit and the leakage density of the stratum, the risk of lost circulation exists, and the circulating displacement or the drilling fluid performance is adjusted according to the generated optimized value, such as reducing the drilling fluid displacement or reducing the drilling fluid sticking. The method can also ensure the cleaning of the well bore and prevent and reduce the occurrence of complex underground faults caused by poor cleaning of the well bore by optimizing the index of the liquid of the well bore and the well bore parameters. The friction torque can be controlled to be in an ideal interval by optimizing the drilling tool assembly and adjusting the performance of drilling fluid, so that the safety of the downhole tool is ensured, and the occurrence of downhole faults is prevented.
The drilling fluid management system also comprises an online monitoring unit, wherein the online monitoring unit comprises a drilling fluid performance analysis module, an adjacent well fault curve drawing module and a drilling fluid performance design module.
The drilling fluid performance analysis module is connected with the real-time data acquisition unit and is used for analyzing the real-time performance data of the drilling fluid and drawing a drilling fluid performance change trend chart. And the adjacent well fault curve drawing module is used for drawing an adjacent well lost circulation density curve and an adjacent well overflow density curve according to the adjacent well fault data. And the drilling fluid performance design module is used for drawing a main performance design interval chart according to the well control safety design drilling fluid performance data and the adjacent well fault data curve.
The working flow of the online monitoring unit can be as shown in fig. 3, and the drilling fluid online detection module is used for carrying out automatic sampling detection according to preset working condition information, frequency and detection items, capturing time, well depth and horizon data, and sending the captured data and detection result data to the EISS digital well site system through the well site data collector. The online monitoring unit of the management system grabs the data of the drilling fluid online detection module, the drilling design data of the ORACLE database and the fault data of the local well and the adjacent well of the EISS adjacent well fault database from the EISS digital well site system to generate a well fluid characteristic diagram, a main drilling fluid characteristic design interval diagram, a lost circulation density curve and an overflow density curve.
The drilling fluid management system further comprises an early warning treatment unit, wherein the early warning treatment unit comprises an early warning module, a lost circulation treatment module and an overflow treatment module and is used for generating early warning information and a treatment scheme according to the real-time data of drilling fluid flow.
The early warning module is used for analyzing the real-time data of the drilling fluid flow and generating early warning information, wherein the early warning information comprises well leakage abnormality and overflow abnormality.
The lost circulation treatment module is connected with the early warning module and is used for receiving early warning information of lost circulation abnormality, and the lost circulation data template with highest similarity and the lost circulation slurry formula are intelligently selected by comparing the received lost circulation data with the data in the lost circulation database.
The overflow disposal module is connected with the early warning module and is used for receiving early warning information of overflow abnormality, grabbing Guan Jingli pressure, vertical depth and drilling fluid density during overflow, calculating the required density of well control fluid and completing overflow well control operation simulation.
Optionally, the early warning treatment unit further comprises an early warning rechecking module, wherein the early warning rechecking module is used for rechecking the early warning information, and when rechecking judges that the real-time data of the drilling fluid flow is normal, the early warning is released.
More specifically, the workflow of the pre-warning treatment unit may be as shown in fig. 4, and the pre-warning module may acquire real-time data of drilling fluid flow through the fluid level scale sensor and the non-full outlet pipe flowmeter and generate pre-warning information. The early warning information is rechecked through the early warning rechecking module, and when the rechecking judgment shows that the early warning information is normal, the early warning is released; when the early warning information is abnormal, the early warning information is distributed to the lost circulation disposal module and the overflow disposal module for processing respectively. The lost circulation disposal module receives early warning information, including lost circulation information data and geological data, and confirms the plugging measure scheme and the plugging slurry formula through comparison with the lost circulation database data. The overflow disposal module simulates and provides kill fluid density reference data by means of an overflow kill operation program by receiving the pre-warning information.
The drilling fluid management system further comprises a flow management unit, wherein the flow management unit is used for managing the on-site production operation flow of the drilling fluid and comprises a drilling fluid transferring module, a waste disposal module and a drilling fluid vehicle scheduling module, the drilling fluid transferring module is used for managing drilling fluid demand application in a flow mode, the waste disposal module is used for managing waste disposal request in a flow mode, and the drilling fluid vehicle scheduling module is used for managing special vehicle demand application in a flow mode.
More specifically, the drilling fluid demand application may include drilling fluid index, demand quantity, and time to well, the waste treatment request may include waste category and quantity, and the special vehicle demand application may include vehicle type, work item type, and time.
The production operation flow of the flow management unit can be as shown in fig. 5, in the process of transferring drilling fluid, the drilling fluid operation site manages the operation flow through the flow management unit, and the drilling fluid transfer module, the waste disposal module and the drilling fluid vehicle dispatching module respectively confirm and send the drilling fluid demand application, the waste disposal request and the special vehicle demand application to the dispatching and dispatching department for verification, and after the application is initiated, the application dynamic and development progress can be tracked and mastered in real time in the corresponding drilling fluid transfer module, the waste disposal module and the drilling fluid vehicle dispatching module. The dispatching and dispatching department receives and examines the drilling fluid demand application, the waste treatment request and the special vehicle demand application, the waste treatment request is forwarded to the branch management leading department for examination, after feedback is received, the examination results and the transportation tasks of the drilling fluid demand application, the waste treatment module and the special vehicle demand application are sent to the dispatching and dispatching department, the dispatching and dispatching department generates a dispatching and dispatching task and sends the dispatching task to the transportation department, and the transportation department receives the dispatching and dispatching task and executes the task, and the flow of the demand task is completed and terminated after confirmation of a demand initiating unit. The flow management unit can improve the production coordination capacity of each department and the on-site production operation efficiency.
The drilling fluid management system also comprises a work management unit which is used for managing the conventional work of drilling fluid engineers and comprises a drilling fluid work module, a QHSE management module, a personnel management module and a technical data management module.
The workflow of the operation management unit can be shown in fig. 6, most basic data of the operation management unit can be captured through an EISS digital well site system, engineers can also fill in each module of the operation management unit in a supplementing mode, unified management of routine work of the drilling fluid engineers is achieved, and the drilling fluid engineers are assisted to complete daily work quickly and efficiently.
Wherein, the functional item content of the drilling fluid operation module can comprise: engineering operation information extraction, logging information extraction, drilling fluid liquid analysis, field experiments, drilling fluid maintenance treatment schemes, spot check materials and drilling fluid water analysis.
The function item content of QHSE management module may include: zhou Yue checking, post checking, training and learning, accident event reporting, emergency exercise, dangerous chemicals standing account and two books and one table.
The function item contents of the personnel management module may include: the personnel basic information, the personnel holding information, the personnel dynamics and the personnel attendance detailed information are used for managing the personnel detailed information.
The functional item content of the technical material management module may include: drilling fluid daily report, drilling fluid monthly report, drilling fluid cost analysis, complex proprietary report, drilling fluid well history.
The drilling fluid management system also comprises a material management unit, which is used for carrying out flow management on the whole life cycle of the drilling fluid material, and comprises a construction plan module, a month plan module, a material application module, a material consumption module, a temporary data module, a material transfer module and a material moving module.
The construction plan module is used for managing the construction plan, the month plan module is used for managing the month plan, the material application module is used for managing the material application, the material consumption module is used for managing the material consumption, the temporary data module is used for managing the temporary data, the material transfer module is used for managing the transfer application, and the material moving module is used for managing the material moving application.
The whole life cycle flow of the material management unit can be shown in fig. 7, and a drilling fluid operation team can perform plan filling through a construction plan module and then send the plan filling to a project department, a research and development center, a production development department, a technical expert and a director for auditing. After the verification is passed, the drilling fluid operation team also performs month plan filling through a month plan module, and the month plan filling is sent to the project department, the production development department and the director for verification. After the pilot check passes, the drilling fluid operation team performs material application and report through the material application module, and then sends the material application and report to the project department, the production development department, the pilot and the dispatching and allocating department for material dispatching. The later stage still carries out the record of consumption data by drilling fluid operation team accessible material consumption module, and drilling fluid operation team also accessible temporary data module and material transfer module carry out temporary data record respectively and initiate the material and transfer the application to once send to project department and dispatch and allocate the department and carry out the audit. The drilling fluid operation team can also send a material moving application to the project department for auditing through the material moving module.
The drilling fluid management system can also comprise a remote command unit for remotely transmitting emergency instructions, remotely allocating emergency materials, monitoring site conditions in real time and adjusting rescue measures in real time. The remote commander can receive instructions and an emergency plan, and the flow chart of the remote commander is shown in fig. 8, and the remote commander unit sends the instructions to a superordinate unit and waits for the instructions.
In order to study whether the system can obviously improve the field work efficiency of drilling fluid operation and obviously reduce the burden of data, the field work of 6 groups of drilling fluid operation teams is studied and divided into 3 groups of conventional operation teams and digital operation teams using a digital well site drilling fluid management system, and the comparison and discovery are carried out during the operation: the working efficiency of the digital working team using the drilling fluid engineer platform is remarkably improved, and the working completion condition is more standard and uniform. Therefore, the use of the drilling fluid engineer platform has obvious effect of reducing the load of field operation, specific data are shown in the following table, the comprehensive efficiency is improved by 96% from the table, the operation capability of the field operation personnel of the drilling fluid can be greatly improved by means of the system, and the operation management and control level is effectively improved.
Table 1 statistical table of drilling fluid operating time
In summary, the invention has the following beneficial effects:
(1) The invention provides a digital well site drilling fluid management system which can effectively optimize a working mode, standardize a service flow, improve working efficiency, realize base layer load reduction and promote digital construction of drilling.
(2) The invention provides a digital well site drilling fluid management system, which can perform ECD analysis in real time so as to optimize the performance of drilling fluid, adjust the discharge capacity of the drilling fluid, prevent underground leakage and ensure underground safety; the performance index and drilling parameters of the drilling fluid can be optimized, the cleaning of the well bore is ensured, and the occurrence of underground complex faults caused by poor cleaning of the well bore is prevented and reduced; the friction torque can be calculated and analyzed, and the friction torque is controlled to be in an ideal interval by optimizing the drilling tool assembly and adjusting the drilling fluid performance, so that the safety of the downhole tool is ensured, and the occurrence of downhole faults is prevented.
(3) The invention provides a digital well site drilling fluid management system, which can reduce drilling risk, discover the condition of well bottom fluid invading into drilling fluid in time, prevent the condition that a great deal of fluid invading into the well to cause underground safety accidents, realize early warning functions on key indexes such as density, filtration loss and the like, and prevent the well control safety from being influenced due to the fact that key drilling fluid parameters are not in accordance with design requirements.
Although the present invention has been described above with reference to the exemplary embodiments and the accompanying drawings, it should be apparent to those of ordinary skill in the art that various modifications can be made to the above-described embodiments without departing from the spirit and scope of the claims.
Claims (8)
1. A digital well site drilling fluid management system is characterized in that the drilling fluid management system comprises a real-time data acquisition unit, a digital well bore simulation unit and a parameter optimization unit, wherein,
The real-time data acquisition unit is used for acquiring drilling basic data in the drilling process, wherein the drilling basic data comprise drilling fluid density, drilling fluid displacement, drilling fluid fluidity index and consistency coefficient, drilling tool combination, well structure and engineering parameters;
the digital wellbore simulation unit comprises an ECD analysis module, a wellbore cleaning simulation module and a friction torque analysis module, wherein the ECD analysis module is connected with the real-time data acquisition unit and is used for determining a first analysis result according to an ECD algorithm model, and the first analysis result comprises drilling fluid equivalent circulating density and annulus pressure consumption;
the borehole cleaning simulation module is connected with the real-time data acquisition unit and is used for determining a second analysis result according to the borehole cleaning calculation model, wherein the second analysis result comprises critical displacement, critical annular return speed, transmission ratio and relative thickness of a cuttings bed;
The friction torque analysis module is connected with the real-time data acquisition unit and is used for determining a third analysis result according to the friction torque analysis model, wherein the third analysis result comprises friction force and torque;
The parameter optimization unit is connected with the digital wellbore simulation unit and is used for determining an optimization value of the drilling basic data according to the first analysis result, the second analysis result and/or the third analysis result;
Wherein the wellbore cleaning simulation module comprises a first cleaning zone module and a second cleaning zone module, wherein,
The first cleaning area module is connected with the well cleaning calculation model and is used for sending the second analysis result to the parameter optimization unit when the rock debris transmission ratio R t calculated by the well cleaning calculation model is smaller than 0.5;
The second cleaning area module is connected with the well cleaning calculation model and is used for sending the second analysis result to the parameter optimization unit when the relative thickness H of the rock debris bed calculated by the well cleaning calculation model is more than 10%;
The friction torque analysis module comprises a calculation module, a drawing module, a friction coefficient module and an optimization judgment module;
Wherein the calculation module is connected with the friction coefficient module and is configured to calculate friction torque and/or hook load according to the borehole trajectory, the drilling tool combination and the drilling fluid density and the friction coefficient;
the drawing module is connected with the calculating module and is configured to acquire the friction torque and/or the hook load for projection superposition to form a friction torque map;
The friction coefficient module is connected with the drawing module and is configured to acquire a friction coefficient and evaluate the friction coefficient according to the friction torque map;
The optimization judgment module is connected with the friction coefficient module and is configured to confirm the third analysis result according to the friction coefficient.
2. The digital wellsite drilling fluid management system of claim 1, further comprising an online monitoring unit comprising a drilling fluid performance analysis module, an adjacent well fault curve drawing module, and a drilling fluid design module;
The drilling fluid performance analysis module is connected with the real-time data acquisition unit and is used for analyzing the drilling fluid real-time performance data and drawing a drilling fluid performance change trend chart;
the adjacent well fault curve drawing module is used for drawing an adjacent well leakage density curve and an adjacent well overflow density curve according to the adjacent well fault data;
the drilling fluid performance design module is used for drawing a main performance design interval chart according to well control safety design drilling fluid performance data and adjacent well fault data curves.
3. The digital wellsite drilling fluid management system of claim 1, further comprising an early warning treatment unit for generating early warning information and treatment plans from the drilling fluid flow real-time data validation.
4. The digital wellsite drilling fluid management system of claim 3, wherein the pre-alarm treatment unit comprises a pre-alarm module, a lost circulation treatment module, and an overflow treatment module, wherein,
The early warning module is used for analyzing the real-time data of the drilling fluid flow and generating early warning information, wherein the early warning information comprises well leakage abnormality and overflow abnormality;
the lost circulation disposal module is connected with the early warning module and is used for receiving early warning information of lost circulation abnormality and automatically generating a lost circulation measure scheme and a lost circulation slurry formula by combining lost circulation data in a lost circulation database;
the overflow disposal module is connected with the early warning module and is used for receiving early warning information of overflow abnormality, completing overflow well-killing operation simulation and outputting well-killing liquid density reference data.
5. The digital wellsite drilling fluid management system of claim 4, wherein the pre-warning treatment unit further comprises a pre-warning review module for review of the pre-warning information, and releasing the pre-warning when the review determines that the real-time data of the drilling fluid flow is normal.
6. The digital wellsite drilling fluid management system of claim 1, further comprising a flow management unit for managing a flow of a drilling fluid in-situ production operation, comprising a drilling fluid transfer module for flowsheet management of drilling fluid demand applications, a waste disposal module for flowsheet management of waste disposal requests, and a drilling fluid cart scheduling module for flowsheet management of specialty vehicle demand applications.
7. The digital wellsite drilling fluid management system of claim 1, further comprising a job management unit for managing conventional work of a drilling fluid engineer comprising a drilling fluid job module, QHSE management module, personnel management module, and technical data management module.
8. The digital wellsite drilling fluid management system of claim 1, further comprising a material management module for managing a flow of a full life cycle of drilling fluid material, comprising a construction plan module, a month plan module, a material application module, a material consumption module, a temporary data module, a material transfer module, and a material moving module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211370176.7A CN115584941B (en) | 2022-11-03 | 2022-11-03 | Digital well site drilling fluid management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211370176.7A CN115584941B (en) | 2022-11-03 | 2022-11-03 | Digital well site drilling fluid management system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115584941A CN115584941A (en) | 2023-01-10 |
| CN115584941B true CN115584941B (en) | 2024-05-28 |
Family
ID=84781553
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211370176.7A Active CN115584941B (en) | 2022-11-03 | 2022-11-03 | Digital well site drilling fluid management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115584941B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116427865B (en) * | 2023-03-08 | 2025-03-07 | 中国长江三峡集团有限公司 | Mud pump quantity determination method, device, electronic device and storage medium |
| CN116291264A (en) * | 2023-03-23 | 2023-06-23 | 西南石油大学 | A kind of downhole cyclone sand cleaner and its application method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104564019A (en) * | 2013-10-27 | 2015-04-29 | 中国石油化工集团公司 | Method for monitoring friction drag and torque of large-displacement well |
| CN106121621A (en) * | 2016-07-15 | 2016-11-16 | 西南石油大学 | A kind of intelligent drilling specialist system |
| CN106150485A (en) * | 2015-04-08 | 2016-11-23 | 中国石油化工股份有限公司 | A kind of drilling well leakage prognoses system based on numeral rock mass |
| CN110230479A (en) * | 2019-06-12 | 2019-09-13 | 中国海洋石油集团有限公司 | A kind of clean control method of high angle hole oil base drilling fluid wellbore |
| US11203922B1 (en) * | 2020-12-17 | 2021-12-21 | China University Of Petroleum (East China) | Method and equipment for optimizing hydraulic parameters of deepwater managed pressure drilling in real time |
| CN114635654A (en) * | 2021-12-22 | 2022-06-17 | 中国石油天然气集团有限公司 | Method, system, device and computer readable storage medium for determining well cleanliness |
| CN114645703A (en) * | 2021-12-24 | 2022-06-21 | 中国石油天然气集团有限公司 | Computing system for simulating shaft engineering construction |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012106348A2 (en) * | 2011-01-31 | 2012-08-09 | M-I Llc | Method of minimizing wellbore instability |
| CN102402184B (en) * | 2011-10-28 | 2013-09-11 | 中国石油集团川庆钻探工程有限公司 | Control method of shaft pressure model prediction system |
| MX2016004408A (en) * | 2013-11-12 | 2016-10-31 | Halliburton Energy Services Inc | Systems and methods for optimizing drilling operations using transient cuttings modeling and real-time data. |
| US10400570B2 (en) * | 2013-11-13 | 2019-09-03 | Schlumberger Technology Corporation | Automatic wellbore condition indicator and manager |
-
2022
- 2022-11-03 CN CN202211370176.7A patent/CN115584941B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104564019A (en) * | 2013-10-27 | 2015-04-29 | 中国石油化工集团公司 | Method for monitoring friction drag and torque of large-displacement well |
| CN106150485A (en) * | 2015-04-08 | 2016-11-23 | 中国石油化工股份有限公司 | A kind of drilling well leakage prognoses system based on numeral rock mass |
| CN106121621A (en) * | 2016-07-15 | 2016-11-16 | 西南石油大学 | A kind of intelligent drilling specialist system |
| CN110230479A (en) * | 2019-06-12 | 2019-09-13 | 中国海洋石油集团有限公司 | A kind of clean control method of high angle hole oil base drilling fluid wellbore |
| US11203922B1 (en) * | 2020-12-17 | 2021-12-21 | China University Of Petroleum (East China) | Method and equipment for optimizing hydraulic parameters of deepwater managed pressure drilling in real time |
| CN114635654A (en) * | 2021-12-22 | 2022-06-17 | 中国石油天然气集团有限公司 | Method, system, device and computer readable storage medium for determining well cleanliness |
| CN114645703A (en) * | 2021-12-24 | 2022-06-21 | 中国石油天然气集团有限公司 | Computing system for simulating shaft engineering construction |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115584941A (en) | 2023-01-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104806226B (en) | intelligent drilling expert system | |
| CN115584941B (en) | Digital well site drilling fluid management system | |
| CN109779602A (en) | A kind of drilling engineering intelligent safety risk early warning method and system | |
| CN108868687B (en) | Leakage-proof and plugging method | |
| US20240392672A1 (en) | System and method for an automated and intelligent frac pumping | |
| CN117098906A (en) | Adaptive Drill String Condition Determination | |
| EA023817B1 (en) | System and method for optimizing drilling speed | |
| US20210017846A1 (en) | Control scheme for surface steerable drilling system | |
| Saputelli et al. | Real-time decision-making for value creation while drilling | |
| CN115586086A (en) | Borehole wall instability analysis method based on big data | |
| CN115841247A (en) | Digital drilling risk monitoring method and device | |
| CN107044263A (en) | A kind of controlled pressure drilling remotely throttles back pressure control method and system | |
| Deryaev | Engineering aspects and improvement of well drilling technologies at the Altyguyi field | |
| Snyder et al. | Geothermal drilling and completions: Petroleum practices technology transfer | |
| CN102748006B (en) | Underground work remote supervision system | |
| NO20240421A1 (en) | Choice of lcm materials and loading for loss circulation control | |
| CN115298623A (en) | Multi-domain controller | |
| Jiang et al. | Reserves estimation for geopressured gas reservoirs | |
| CN114718549A (en) | Ground and underground integrated drilling real-time optimization system | |
| Xie et al. | Improving Drilling Efficiency Using Intelligent Decision System for Drilling in Bohai Oilfield Based on Big Data | |
| Eustes et al. | Onshore Drilling | |
| Gomes et al. | Systematic Use of Real Time Data Analysis for Primary Cementing and Cement Job Verification | |
| Wang et al. | An Artificial Intelligence Algorithm for the Real-Time Early Detection of Sticking Phenomena in Horizontal Shale Gas Wells. | |
| WO2024131003A1 (en) | Downhole working condition monitoring and early-warning system and method | |
| Zhao et al. | Research and Application of Drilling Engineering Monitoring and Remote Support Technology for CNPC Key Wells |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |