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CN112819198A - Industrial drilling optimal configuration method and system based on cost analysis model - Google Patents

Industrial drilling optimal configuration method and system based on cost analysis model Download PDF

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CN112819198A
CN112819198A CN202011626387.3A CN202011626387A CN112819198A CN 112819198 A CN112819198 A CN 112819198A CN 202011626387 A CN202011626387 A CN 202011626387A CN 112819198 A CN112819198 A CN 112819198A
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闫伟
丁小平
檀朝东
葛洪魁
窦玉玲
李文博
王诗棋
孟祥龙
李昱锋
恽博文
余嵚鑫
马泽林
卢燃
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China University of Petroleum Beijing
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Abstract

本发明涉及一种基于成本分析模型的工厂化钻井优化配置方法和系统,其特征在于包括以下步骤:1)进行工厂化钻井理论研究、工厂化钻井成本因素研究、工厂化钻井成本量化研究,确定影响工厂化钻井成本的影响因素;2)基于确定的各影响因素,建立复杂多因素、多平台、多环节、多工况的工厂化钻井成本分析模型,并通过输入已知的靶点信息和枚举的初始平台数K,进行方案优选和成本分析,优选出最小成本下的工厂化钻井平台数以及井眼轨迹参数,实现对工厂化钻井的优化配置。本发明可以广泛应用于非常规油气开采领域。

Figure 202011626387

The present invention relates to a method and system for optimizing configuration of factory drilling based on a cost analysis model, which is characterized by comprising the following steps: 1) carrying out theoretical research on factory drilling, research on cost factors of factory drilling, and quantification of factory drilling costs, and determining Factors affecting the cost of factory drilling; 2) Based on the determined influencing factors, a complex multi-factor, multi-platform, multi-link, and multi-condition factory drilling cost analysis model is established, and by inputting known target information and According to the enumerated initial platform number K, plan optimization and cost analysis are carried out, and the number of factory drilling platforms and wellbore trajectory parameters at the minimum cost are optimized to realize the optimal configuration of factory drilling. The invention can be widely used in the field of unconventional oil and gas exploitation.

Figure 202011626387

Description

Industrial drilling optimal configuration method and system based on cost analysis model
Technical Field
The invention relates to an optimized configuration method and system for factory drilling of a multi-factor and multi-process unconventional oil and gas cost analysis model, and belongs to the field of unconventional oil and gas exploitation.
Background
In recent years, with the rapid consumption of conventional oil and gas resources, the difficulty of exploration and development of newly added resources is increased, global oil and gas resource exploration and development is changed from the situation that traditional conventional oil and gas is mainly used to the situation that conventional oil and gas and unconventional oil and gas are heavily used, and unconventional oil and gas exploitation becomes a global trend.
Since 2007, the well factory operation mode greatly improves the economy of exploration and development. Firstly, the reservoir area covered by the development well pattern is maximized by using the minimum well field, and the occupied area of the well field is reduced; secondly, multiple wells are drilled and produced in a centralized manner, so that the labor cost and the time for drilling and completing construction vehicles and moving the drilling machine are reduced, the ground engineering and production management are simplified, and the operation cost is greatly reduced; finally, the multiple wells are sequentially opened for one time, well cementation is carried out, opened for two times and then sequentially well cementation and completion are carried out, stop and wait are avoided among the working procedures of well drilling, well cementation and well logging, the utilization maximization of equipment is realized, the operation efficiency is improved, meanwhile, the drilling fluid is repeatedly used at the same opening time, and the well drilling cost is reduced. In summary, the operation mode of the well factory is an effective means for reducing the cost of unconventional oil and gas drilling, a large number of similar wells are intensively arranged in the same area, and a large number of standardized equipment or services are used for drilling in a pipeline operation mode, so that the operation mode is efficient and low in cost.
Although well factory drilling techniques work well in the field, quantitative descriptions of the cost of factory drilling still lack theoretical support; in addition, the drilling cost calculation of a well factory is a system problem related to multiple types, multiple factors and close connection of different types of factors, and all links influencing industrial drilling cannot be optimized.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a method and a system for optimizing and configuring factory-like drilling based on a cost analysis model, which optimize and configure factory-like drilling by constructing a compact reservoir factory-like drilling cost model considering drilling learning rate, batch drilling mode and drilling fluid recycling.
In order to achieve the purpose, the invention adopts the following technical scheme: an optimized configuration method for factory drilling based on a cost analysis model comprises the following steps:
1) carrying out factory drilling theory research, factory drilling cost factor research and factory drilling cost quantification research, and determining influence factors influencing factory drilling cost;
2) establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition factory drilling cost analysis model based on the determined influence factors, performing scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, optimizing the number of factory drilling platforms and borehole trajectory parameters at the minimum cost, and realizing the optimal configuration of factory drilling.
Further, in the step 2), the method for optimally configuring the factory drilling includes the following steps:
2.1) optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm with the minimum sum of the horizontal displacement of the control target points as an optimization target;
2.2) establishing an industrial drilling cost analysis model based on the optimized platform related information for calculating the total cost of each platform;
2.3) repeating the step 2.1) to the step 2.2), selecting different platform numbers by using an enumeration algorithm, and calculating the drilling total cost I corresponding to all the platform numbers of the whole well factoryzong
2.4) Total cost according to platform IzongAnd (3) performing comprehensive comparison and optimization on the platform number schemes determined in the step 2.3) to select the most appropriate group of platform numbers and empirical track parameters to serve as a final industrialized drilling optimization configuration scheme.
Further, in the step 2.2), the method for calculating the total cost of each platform based on the optimized platform-related information includes the following steps:
2.2.1) calculating the engineering cost before drilling and the engineering service cost according to the determined positions of the platform and the wellhead;
2.2.2) optimizing the well type according to the platform and the position affiliated to the platform target point, optimizing the well track according to the given conditions of a deflecting point, a deflecting rate and a deflecting angle, and calculating the well depth and each opening length;
2.2.3) calculating the material cost according to batches based on the determined well type, well track and well depth information;
2.2.4) calculating the cost of the drilling machine and the labor cost according to the number of wells on the platform, the well mouth layout mode and the drilling period, wherein the drilling period is calculated and obtained by learning according to the drilling period of the same type of wells;
2.2.5) proportionality coefficient K for non-quantifiable supervision charge and non-quantifiable charge1And K2To determine the coefficient K1And K2Performing reverse deduction determination according to the data of the drilled blocks to finally obtain an industrial drilling cost analysis model;
2.2.6) repeating the steps 2.2.1) to 2.2.5), and establishing drilling cost estimation models of all platforms
Figure BDA0002879314660000021
And calculating to obtain the total drilling cost of each platform.
Further, in the step 2.2.1), the project cost before drilling includes floor area cost and earth and stone square cost, and the calculation formulas are respectively as follows:
Figure BDA0002879314660000022
wherein: i iszqThe total floor area cost of a well factory is Yuan; k is the number of platforms of the 'well factory'; i iszqiThe floor area cost for platform i in the "well factory";
Figure BDA0002879314660000023
wherein, IP2The total well site road construction cost is Yuan; i isP2iThe cost of earth and stone is single platform.
Further, in the step 2.2.3), the calculation formula of the material cost is as follows:
Figure BDA0002879314660000031
wherein:
Figure BDA0002879314660000032
the well depth of the nth well is m; hnjOpening a well length m for the jth well of the nth well; dinjOpening a drill bit, a sleeve and drilling fluid for the jth well of the nth well, wherein the unit price of the cement is per meter, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to mOpening device;NNumber of wellsTotal well number for the platform; m isOpening deviceThe number of well openings.
Further, in the step 2.2.4), the drilling period TnIs based on well learningThe curve is obtained by the method: in the measurement and calculation of the drilling cycle, if the block, the well type, the target layer and the well depth are the same, a common learning curve T is adoptedn=T×ebH+cCalculating; if the well depths are different, the corrected learning curve is adopted
Figure BDA0002879314660000033
Learning fitting coefficients b and c and a drilling learning rate r through adjacent wells or drilled wells in the block, and then applying the fitting coefficients to the drilling period T to be drilled in the blockn
Further, in the step 2.2.5), the factory drilling cost analysis model is as follows:
Figure BDA0002879314660000034
in the formula, K1And K2Scale factors of the non-quantifiable supervision and management fee and the non-quantifiable fee respectively; i iszqThe total floor area cost of a well factory is Yuan; i isP2The total well site road construction cost is Yuan; i isMThe total cost of moving and installing the drilling machine in the block; r1Daily fees for drilling machines and moving and rereeling are Yuan/day; r is the drilling learning rate; b, c is the adjacent well or the well drilling learning fitting coefficient of the block;
Figure BDA0002879314660000035
the well depth of the nth well is m; hnjOpening a well length m for the jth well of the nth well; dinjOpening a drill bit, a sleeve and drilling fluid for the jth well of the nth well, wherein the unit price of the cement is per meter, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to mOpening device;Id_severThe directional cost of a single well is Yuan.
In a second aspect of the present invention, there is provided a factory drilling optimization configuration system based on a cost analysis model, which includes:
the influence factor determination module is used for carrying out factory drilling theory research, factory drilling cost factor research and factory drilling cost quantification research and determining influence factors influencing factory drilling cost;
and the optimization configuration module is used for establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition factory drilling cost analysis model according to the determined influence factors, performing scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, optimizing the number of factory drilling platforms and well track parameters at the minimum cost, and realizing the optimization configuration of factory drilling.
Further, the optimal configuration module comprises:
the platform number optimization module is used for optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm with the minimum sum of the horizontal displacement of the control target point as an optimization target;
the platform cost calculation module is used for establishing a cost analysis model to calculate the total cost of each platform based on the optimized platform related information;
an enumeration module for selecting different platform numbers K by using an enumeration algorithm and calculating the total drilling cost I of all platforms of the whole well factoryzong
A scheme comparison module for comparing the total cost I of the platformzongAnd finally, comprehensively comparing various factory drilling schemes and optimizing the schemes, and selecting the most appropriate group of platform numbers and empirical track parameters as a final factory drilling optimization configuration scheme.
Further, the cost analysis model established in the platform cost calculation module is as follows:
Figure BDA0002879314660000041
in the formula, K1And K2Scale factors of the non-quantifiable supervision and management fee and the non-quantifiable fee respectively; i iszqThe total floor area cost of a well factory is Yuan; i isP2The total well site road construction cost is Yuan; i isMThe total cost of moving and installing the drilling machine in the block; r1Daily fees for drilling machines and moving and rereeling are Yuan/day; r is the drilling learning rate;b, c is the adjacent well or the well drilling learning fitting coefficient of the block;
Figure BDA0002879314660000042
the well depth of the nth well is m; hnjOpening a well length m for the jth well of the nth well; dinjOpening a drill bit, a sleeve and drilling fluid for the jth well of the nth well, wherein the unit price of the cement is per meter, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to mOpening device;Id_severThe directional cost of a single well is Yuan; n is a radical ofNumber of wellsTotal well number for the platform; m isOpening deviceThe number of well openings.
Due to the adoption of the technical scheme, the invention has the following advantages: 1. according to the method, the factory drilling cost model of the compact oil reservoir is constructed by considering the drilling learning rate, the batch drilling mode and the drilling fluid recycling, the configuration of factory drilling is optimized, the output efficiency of factory drilling is improved, and the production cost of factory drilling is reduced. 2. When the industrialized drilling cost model is constructed, the shortest footage is realized by considering the optimization of the platform position and the optimization of the platform number; optimization of equipment utilization is realized through the drilling sequence optimization and the drilling machine translation technology; the drilling speed is improved through matching technologies such as inter-well collision prevention, drill bit optimization, well track control and the like; the working efficiency is improved by using a learning curve method of repeated operation of well drilling operation in a well factory; the repeated utilization rate of drilling tool combinations and drilling fluid is improved through batch drilling; the drilling operation cross operation and the off-line operation of a well factory are performed through scientific production organization management, so that the drilling machine footage working timeliness is improved. Therefore, the invention can be widely applied to the field of unconventional oil and gas exploitation.
Drawings
FIG. 1 is a diagram of the idea of the method for optimizing and configuring the industrial drilling based on the cost analysis model according to the embodiment of the present invention;
FIG. 2 is a flow chart of a method for factory drilling optimization configuration based on a cost analysis model according to an embodiment of the invention;
FIG. 3 is a schematic representation of a wellbore configuration in an embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and examples.
As shown in fig. 1, the invention provides an optimized configuration method for factory drilling based on a cost analysis model by performing factory drilling theory research, factory drilling cost factor research and factory drilling cost quantification research. The shortest footage is realized by considering the optimization of the platform position and the optimization of the platform number; optimization of equipment utilization is realized through optimization of a drilling sequence and optimization of a drilling machine translation technology; the drilling speed is improved through matching technologies such as inter-well collision prevention, drill bit optimization, well track control and the like; the working efficiency is improved by using a learning curve method of repeated operation of well drilling operation in a well factory; the repeated utilization rate of drilling tool combinations and drilling fluid is improved through batch drilling; the drilling operation cross operation and the off-line operation of a well factory are performed through scientific production organization management, so that the drilling machine footage working timeliness is improved. Through investigation and research on well drilling of a tight oil reservoir well factory, research on well drilling technology and production organization management of the well factory is carried out, operation procedures are further perfected, operation procedures are standardized, and organization management is innovated, so that a complex multi-factor well factory well drilling cost analysis model which is suitable for acceleration and efficiency improvement of well drilling of the well factory and reduction of development cost is formed.
By inputting known target point information and enumerated initial platform number K, platform optimization and target point classification, well type, well track, well drilling sequence, drill bit model, drilling fluid repeated utilization rate of each time, casing model and wall thickness, daily cost of a drilling machine, learning rate of a drilling period of a well in the near field and the like are considered, a complex multi-factor multi-platform multi-link multi-working-condition batched well drilling cost analysis model is established, scheme optimization and cost analysis are carried out, and platform number and well track parameter optimization under the minimum cost are selected. And finally, optimizing parameters such as the number of platforms and the well track according to the minimum cost through different factory drilling schemes corresponding to different platform numbers and well track parameters.
Specifically, the method comprises the following steps:
1) and carrying out factory drilling theory research, factory drilling cost factor research and factory drilling cost quantification research, and determining influence factors influencing factory drilling cost.
The method is characterized in that the factors of high cost of factory drilling of the compact oil reservoir are restricted by the factor research of the factory drilling cost, and the influencing factors of the factory drilling cost are divided into four types of pre-drilling engineering cost, engineering service cost, material cost and other unqualified cost, wherein the pre-drilling engineering cost comprises land occupation cost and earth and stone square cost; the engineering service cost comprises drilling machine cost, directional service cost and drilling machine moving and safety cost; the material costs include drill bit costs, drilling fluid costs, casing costs, cementing costs and mud landing costs; other non-quantifiable fees include supervised administrative fees and unpredictable fees. A drilling cost analysis model of the whole well factory can be established by independently carrying out quantitative analysis on 10 quantifiable factors, establishing a mathematical model and carrying out proportion estimation on 2 unquantifiable factors.
2) Establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition factory drilling cost analysis model based on the determined influence factors, performing scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, optimizing parameters such as platform number and well track under the minimum cost, and realizing the optimal configuration of factory drilling.
Specifically, the method comprises the following steps:
and 2.1) optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm with the minimum sum of the horizontal displacement of the control target points as an optimization target.
Firstly, inputting known block target point information, trying to select the number of platforms (meeting the maximum drilling capability of the platforms), adopting a K-means clustering algorithm to preliminarily optimize the positions of the platforms, and expressing the platform P by pointsiUsing the vector u { P1,P2、、Pi、、PKDenotes as a whole K platforms, with set Pij((1. ltoreq. i.ltoreq.K, 1. ltoreq. j.ltoreq.N)) represents a plateau PiA target under control. Wherein: n is1+n2、、ni+nK=N,niIs a target point belonging to the i platform, N is the number of the target points, pi(Xi,Yi) As platform coordinates, bj(xj,xj) As target point coordinates.
2.2) calculating the total cost of each platform based on the optimized platform related information.
Specifically, the method comprises the following steps:
2.2.1) calculating the project cost (occupied area cost and earth and stone square cost) before drilling and the project service cost (rig moving safety cost) according to the determined positions of the platform and the well mouth.
The pre-drilling engineering mainly comprises the determination of the position of a platform, the determination of a well site road and the determination of the wellhead position of the platform. Correspondingly, the pre-drilling project cost mainly comprises floor area cost and earth and stone square cost.
Cost of floor space
The calculation of the floor space cost includes two parts.
In the first part, the 'well factory' platform adopts centralized well arrangement, so that the floor area of an average single well is greatly reduced, and according to the project quota before petrochemical drilling in China, the floor area cost of each additional well at a well site is calculated by increasing 10%. Thus, the floor space cost calculation formula can be expressed as:
Figure BDA0002879314660000061
in the formula (I), the compound is shown in the specification,
Figure BDA0002879314660000062
the floor area cost of the i platform is Yuan; q. q.sPre-drill quota feeThe cost is the floor area cost of the single well platform; n isiIs the number of wells belonging to the i-platform.
The second part, if there are less than 5 wells per platform, is calculated using the following formula:
Figure BDA0002879314660000071
in the formula (I), the compound is shown in the specification,
Figure BDA0002879314660000072
the floor area cost of a single platform is less than 5 wells; s1The first well occupies the area of 3 mu s1The land occupation area of each well except the first well is generally 1 mu; and q is the land occupation cost per mu, yuan per mu.
If the single platform is more than or equal to 5 wells, the following formula is used for calculation:
Figure BDA0002879314660000073
in the formula (I), the compound is shown in the specification,
Figure BDA0002879314660000074
the floor area cost of a single platform is more than or equal to 5 wells; s1The first well occupies 3 mu of area; s1The land occupation area of each well of 2, 3 and 4 wells is generally 1 mu; s2The area of the 5 th well and each well larger than the 5 th well is generally 0.35 mu; and q is the land occupation cost per mu, yuan.
Thus, for a single platform floor space cost:
Figure BDA0002879314660000075
for total floor space costs:
Figure BDA0002879314660000076
wherein: i iszqThe total floor area cost of a well factory is Yuan; k is the number of "well factory" platforms.
② cost of earth and stone
If the single platform is less than 5 wells, the calculation formula of the earth and rock square cost is as follows:
IP2i=(S1+s1×(ni-1))×Sq (6)
wherein: i isP2iThe cost of earth and stone is less than 5 wells for a single platform; s1The first well occupies the area of 3 mu s1The land occupation area of each well except the first well is generally 1 mu; sqThe cost of earth and stone is yuan per mu.
If the single platform is more than or equal to 5 wells, the calculation formula of the earth and stone square cost is as follows:
IP2i=(S1+s1×3+s2×(ni-4))×Sq (7)
in the formula (I), the compound is shown in the specification,
Figure BDA0002879314660000077
the cost of earth and stone is more than or equal to 5 wells on a single platform; s1The first well occupies the area of 3 mu s1The land occupation area of each well of 2, 3 and 4 wells is generally 1 mu; s2The area of the 5 th well and each well larger than the 5 th well is generally 0.35 mu; sqThe cost of earth and stone is yuan per mu.
For total earth and stone costs:
Figure BDA0002879314660000078
wherein, IP2The total well site road construction cost is Yuan; i isP2iThe cost of earth and stone is single platform.
2.2.2) optimizing the well type according to the platform and the position affiliated to the platform target point, optimizing the well track according to given conditions such as a deflecting point, a deflecting rate, a well deflecting angle and the like, and calculating the well depth and each opening length.
According to the platform and the position of a target point belonging to the platform, different well types are selected, according to given conditions such as a deflecting point, a deflecting rate, a well deflecting angle and the like, a straight well section L1, a deflecting section L2 and a sloping line section L3 … … are calculated, the well depth H is calculated, and each opening length is determined.
2.2.3) calculating the cost of the drilling fluid, the cost of the casing, the cost of cementing, the cost of the drill bit and the cost of not landing the mud according to batches based on the determined well type, well track and well depth information.
As shown in fig. 3, is a schematic diagram of a well structure. As can be seen from the figure, the well structure is designed for three openings. The method adopts a batched single-drilling-machine 'well factory' operation mode, simultaneously considers the repeated utilization rate of drilling fluid at each time, and has the following calculation formula of well depth cost (including drill bit cost, drilling fluid cost, casing cost, well cementation cost, mud non-landing material and service cost) as follows:
Figure BDA0002879314660000081
wherein:
Figure BDA0002879314660000082
the well depth of the nth well is m; hnjOpening a well length m for the jth well of the nth well; dinjOpening a drill bit, a sleeve and drilling fluid for the jth well of the nth well, wherein the unit price of the cement is per meter, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to mOpening device
Cost of drilling bit
Considering the type of the drill bit, the calculation formula is as follows:
d1nj=ubit (10)
wherein u isbitCost per meter of drill bit, yuan/m.
Drilling fluid cost-
Considering the reuse of drilling fluid, the calculation formula is as follows
d2nj=(Hnj)×1.1(excess quantity)-(Hn-1j)×1.1×r)×ρf×uf/Hnj (11)
Wherein: d2njThe cost of drilling fluid for the jth well of the nth well is Yuan; r is the reuse rate of j-th drilling fluid of the (n-1) th well; rhofOpening the density of the j drilling fluid in g/cm for the nth well3;ufAnd (5) opening the j drilling fluid for the nth well by unit price of yuan/ton.
Cost of casing
Considering the casing size and wall thickness, the calculation formula is as follows:
Figure BDA0002879314660000091
wherein: d3njOpening a casing cost for the jth well of the nth well; d1jOpening the outer diameter m of a j sleeve of the nth well; d2jOpening the inner diameter m of a j sleeve of the nth well; rhoCOpening the j casing pipe density of the nth well in g/cm3;ucRepresents the j casing opening unit price per ton of the nth well.
Fourthly, well cementation cost
Figure BDA0002879314660000092
Wherein: d4njSetting the well cementation cost for the jth well of the nth well; d1jThe outer diameter m of the j-th casing of the nth well is defined; djRepresents the j-th drill bit diameter of the nth well, m; d4njRepresenting the j-th well opening and cementing cost of the nth well; rhoc1Represents the density of the j opening well of the nth well in g/cm3;uc1Representing the j well opening unit price of the nth well, yuan/ton; i iselseCementing other expenses, yuan.
Cost for slurry not falling to the ground
d5nj=un (14)
Wherein: d5njThe cost for the no landing of the slurry of the jth well is Yuan; u. ofnThe cost of not falling to the ground for the single meter of slurry is Yuan/m; typically 150 yuan/m.
2.2.4) calculating the cost of the drilling machine and the labor cost according to the number of wells on the platform, the layout mode of the well mouths and the drilling period, wherein the drilling period is calculated and obtained by learning according to the drilling period of the homogeneous well.
Drilling machine and labor cost
Ir=R1×Tn (15)
Wherein, TnThe drilling period of the nth well is day; r1Daily fees for drilling machines and moving and rereeling are Yuan/day; i isrIs the cost of drilling machine and labor.
For drilling period TnThe calculation can be carried out according to a well drilling learning curve, and under the condition that blocks, well types (vertical wells, directional wells and horizontal wells), target layers and well depths are the same in well drilling period measurement and calculation, a common learning curve T can be usedn=T×ebH+c(ii) a If the well depths are different, the corrected learning curve is used
Figure BDA0002879314660000093
Learning fitting coefficients b and c and a drilling learning rate r through adjacent wells or drilled wells in the block, and then applying the fitting coefficients to the drilling period T to be drilled in the blockn
② directional cost
As the number of the platform well patterns of the 'well factory' is increased, the transverse offset distance is increased, the length and the cost of the directional well section are increased, and the more the platform well patterns are, the more the length and the cost of the directional well section are increased on average by a single well. The calculation formula is as follows:
Id_sever=L2×ud2+......+Li×udi+.....+Ln×udn (16)
wherein, Id_severThe directional cost of a single well is Yuan; l isiThe well sections of the wellbore trajectory (deviated section, horizontal section … …) other than the straight well section, m; u. ofdiIs the unit price per unit of the corresponding well section, yuan/m.
Rig transport safety cost
The development of the well factory can greatly save the moving and installation cost of the drilling machine. The fewer the number of platforms in a block, the fewer the number of times the drilling machine is moved in large increments. The installation cost of the drilling machine can firstly determine the times of large moving, medium moving and whole supporting of the drilling machine according to the number of wells on the platform and the well mouth layout mode, and then the total cost of the drilling machine is calculated according to the times and the cost of each time.
If a single row of wellheads:
IMi=Im1+Im2(ni-1) (17)
if a double row wellhead:
IMi=Im1+Im2(ni-2)+Im3 (18)
the total cost of relocation and installation of the drilling machine in the block can be expressed as:
Figure BDA0002879314660000101
wherein: i ism1The cost for moving the drilling machine once is high; i ism2The cost for one time of whole support of the drilling machine is high; i ism3The drilling machine is moved once in the platform side by side; n isiRefers to the target point belonging to the platform i.
2.2.5) proportionality coefficient K for non-quantifiable supervision charge and non-quantifiable charge1And K2To determine the coefficient K1And K2And performing reverse deduction determination according to the data of the drilled blocks to finally obtain an industrial drilling cost analysis model.
The invention adopts a proportion estimation algorithm to calculate the supervision and management fee and the unpredictable fee, and specifically, the supervision and management fee can adopt a certain proportion K of other drilling costs except the unpredictable fee1Calculating; the unpredictable fee may be multiplied by the ratio K according to other drilling investments2And (6) performing calculation.
The obtained industrial drilling cost analysis model is as follows:
Figure BDA0002879314660000102
2.2.6) repeating the steps 2.2.1) to 2.2.5), and establishing drilling cost estimation models of all platforms
Figure BDA0002879314660000103
2.3) selecting different platform numbers by using an enumeration algorithm, and calculating the total drilling cost I under all the platform numbers of the whole' well factoryzong
In order to obtain the platform setting plan with the minimum total drilling cost of the whole 'well factory', a method of enumerating the number of platforms is adopted. Firstly, determining possible intervals of the number of platforms according to the number of underground well positions and the maximum drilling capacity of each platform, and then enumerating one by one in the intervals to obtain the total drilling cost of a group of platforms with different numbers.
2.4) Total cost according to platform IzongAnd (3) performing comprehensive comparison and scheme optimization on each scheme, and selecting the most appropriate parameters such as a group of platform numbers, empirical tracks and the like to serve as an optimal configuration scheme of industrial drilling.
The invention also provides a factory drilling optimal configuration system based on the cost analysis model, which comprises the following steps: the influence factor determination module is used for carrying out factory drilling theory research, factory drilling cost factor research and factory drilling cost quantification research and determining influence factors influencing factory drilling cost; and the optimization configuration module is used for establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition factory drilling cost analysis model according to the determined influence factors, performing scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, optimizing the number of factory drilling platforms and well track parameters at the minimum cost, and realizing the optimization configuration of factory drilling.
Further, the optimal configuration module comprises: the platform number optimization module is used for optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm with the minimum sum of the horizontal displacement of the control target point as an optimization target; the platform cost calculation module is used for establishing a cost analysis model to calculate the total cost of each platform based on the optimized platform related information; an enumeration module for selecting different platform numbers to optimize the platform coordinates by an enumeration algorithm and calculating the total drilling cost I under all the platform numbers of the whole well factory according to the optimization resultzong(ii) a A scheme comparison module for comparing the total cost I of the platformzongAnd finally, comprehensively comparing various factory drilling schemes and optimizing the schemes, and selecting the most appropriate group of platform numbers and empirical track parameters as a final factory drilling optimization configuration scheme.
Further, the cost analysis model established in the platform cost calculation module is as follows:
Figure BDA0002879314660000111
in the formula, K1And K2Scale factors of the non-quantifiable supervision and management fee and the non-quantifiable fee respectively; i iszqThe total floor area cost of a well factory is Yuan; i isP2The total well site road construction cost is Yuan; i isMThe total cost of moving and installing the drilling machine in the block; r1Daily fees for drilling machines and moving and rereeling are Yuan/day; r is the drilling learning rate; b, c is the adjacent well or the well drilling learning fitting coefficient of the block;
Figure BDA0002879314660000112
the well depth of the nth well is m; hnjOpening a well length m for the jth well of the nth well; dinjOpening a drill bit, a sleeve and drilling fluid for the jth well of the nth well, wherein the unit price of the cement is per meter, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to mOpening device;Id_severThe directional cost of a single well is Yuan; n is a radical ofNumber of wellsTotal well number for the platform; m isOpening deviceThe number of well openings.
The present invention is described only by the above embodiments, and the mathematical models in the analysis model of the drilling cost of the well factory and the frames in the optimization algorithm of the drilling cost of the well factory can be changed. On the basis of the technical scheme of the invention, the improvement or equivalent transformation of the individual components according to the principle of the invention is not excluded from the protection scope of the invention.

Claims (10)

1. A factory drilling optimal configuration method based on a cost analysis model is characterized by comprising the following steps:
1) carrying out factory drilling theory research, factory drilling cost factor research and factory drilling cost quantification research, and determining influence factors influencing factory drilling cost;
2) establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition factory drilling cost analysis model based on the determined influence factors, performing scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, optimizing the number of factory drilling platforms and borehole trajectory parameters at the minimum cost, and realizing the optimal configuration of factory drilling.
2. The method for optimizing and configuring the factory-like drilling based on the cost analysis model as claimed in claim 1, wherein: in the step 2), the method for performing optimized configuration on the factory-like drilling comprises the following steps:
2.1) optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm with the minimum sum of the horizontal displacement of the control target points as an optimization target;
2.2) establishing an industrial drilling cost analysis model based on the optimized platform related information for calculating the total cost of each platform;
2.3) repeating the step 2.1) to the step 2.2), selecting different platform numbers by using an enumeration algorithm, and calculating the drilling total cost I corresponding to all the platform numbers of the whole well factoryzong
2.4) Total cost according to platform IzongAnd (3) performing comprehensive comparison and optimization on the platform number schemes determined in the step 2.3) to select the most appropriate group of platform numbers and empirical track parameters to serve as a final industrialized drilling optimization configuration scheme.
3. The method for optimizing and configuring the factory-like drilling based on the cost analysis model as claimed in claim 2, wherein: in the step 2.2), the method for calculating the total cost of each platform based on the optimized platform-related information includes the following steps:
2.2.1) calculating the engineering cost before drilling and the engineering service cost according to the determined positions of the platform and the wellhead;
2.2.2) optimizing the well type according to the platform and the position affiliated to the platform target point, optimizing the well track according to the given conditions of a deflecting point, a deflecting rate and a deflecting angle, and calculating the well depth and each opening length;
2.2.3) calculating the material cost according to batches based on the determined well type, well track and well depth information;
2.2.4) calculating the cost of the drilling machine and the labor cost according to the number of wells on the platform, the well mouth layout mode and the drilling period, wherein the drilling period is calculated and obtained by learning according to the drilling period of the same type of wells;
2.2.5) proportionality coefficient K for non-quantifiable supervision charge and non-quantifiable charge1And K2To determine the coefficient K1And K2Performing reverse deduction determination according to the data of the drilled blocks to finally obtain an industrial drilling cost analysis model;
2.2.6) repeating the steps 2.2.1) to 2.2.5), and establishing drilling cost estimation models of all platforms
Figure FDA0002879314650000011
And calculating to obtain the total drilling cost of each platform.
4. The method for optimizing and configuring the factory-like drilling based on the cost analysis model as claimed in claim 3, wherein: in the step 2.2.1), the project cost before drilling comprises floor area cost and earth and stone square cost, and the calculation formulas are respectively as follows:
Figure FDA0002879314650000021
wherein: i iszqThe total floor area cost of a well factory is Yuan; k is the number of platforms of the 'well factory'; i iszqiThe floor area cost for platform i in the "well factory";
Figure FDA0002879314650000022
wherein, IP2The total well site road construction cost is Yuan; i isP2iThe cost of earth and stone is single platform.
5. The method for optimizing and configuring the factory-like drilling based on the cost analysis model as claimed in claim 3, wherein: in the step 2.2.3), the calculation formula of the material cost is as follows:
Figure FDA0002879314650000023
wherein:
Figure FDA0002879314650000024
the well depth of the nth well is m; hnjOpening a well length m for the jth well of the nth well; dinjOpening a drill bit, a sleeve and drilling fluid for the jth well of the nth well, wherein the unit price of the cement is per meter, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to mOpening device;NNumber of wellsTotal well number for the platform; m isOpening deviceThe number of well openings.
6. The method for optimizing and configuring the factory-like drilling based on the cost analysis model as claimed in claim 3, wherein: in said step 2.2.4), the drilling period TnThe calculation is obtained according to a drilling learning curve, and the method comprises the following steps: in the measurement and calculation of the drilling cycle, if the block, the well type, the target layer and the well depth are the same, a common learning curve T is adoptedn=T×ebH+cCalculating; if the well depths are different, the corrected learning curve is adopted
Figure FDA0002879314650000025
Learning fitting coefficients b and c and a drilling learning rate r through adjacent wells or drilled wells in the block, and then applying the fitting coefficients to the drilling period T to be drilled in the blockn
7. The method for optimizing and configuring the factory-like drilling based on the cost analysis model as claimed in claim 3, wherein: in the step 2.2.5), the industrial drilling cost analysis model is as follows:
Figure FDA0002879314650000026
in the formula, K1And K2Scale factors of the non-quantifiable supervision and management fee and the non-quantifiable fee respectively; i iszqThe total floor area cost of a well factory is Yuan; i isP2The total well site road construction cost is Yuan; i isMThe total cost of moving and installing the drilling machine in the block; r1Daily fees for drilling machines and moving and rereeling are Yuan/day; r is the drilling learning rate; b, c is the adjacent well or the well drilling learning fitting coefficient of the block;
Figure FDA0002879314650000031
the well depth of the nth well is m; hnjOpening a well length m for the jth well of the nth well; dinjOpening a drill bit, a sleeve and drilling fluid for the jth well of the nth well, wherein the unit price of the cement is per meter, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to mOpening device;Id_severThe directional cost of a single well is Yuan.
8. An optimized factory drilling configuration system based on a cost analysis model is characterized by comprising:
the influence factor determination module is used for carrying out factory drilling theory research, factory drilling cost factor research and factory drilling cost quantification research and determining influence factors influencing factory drilling cost;
and the optimization configuration module is used for establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition factory drilling cost analysis model according to the determined influence factors, performing scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, optimizing the number of factory drilling platforms and well track parameters at the minimum cost, and realizing the optimization configuration of factory drilling.
9. The system of claim 8, wherein the optimal configuration module comprises:
the first platform number optimization module is used for optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm with the minimum sum of the horizontal displacement of the control target points as an optimization target;
the platform cost calculation module is used for establishing a cost analysis model to calculate the total cost of each platform based on the optimized platform related information;
the second platform number optimization module is used for selecting different platform numbers K by utilizing an enumeration algorithm and calculating the total drilling cost I of all platforms of the whole well factoryzong
A scheme comparison module for comparing the total cost I of the platformzongAnd finally, comprehensively comparing various factory drilling schemes and optimizing the schemes, and selecting the most appropriate group of platform numbers and empirical track parameters as a final factory drilling optimization configuration scheme.
10. The system for optimized factory-like drilling configuration based on cost analysis model as claimed in claim 9, wherein the cost analysis model built in the platform cost calculating module is:
Figure FDA0002879314650000032
in the formula, K1And K2Scale factors of the non-quantifiable supervision and management fee and the non-quantifiable fee respectively; i iszqThe total floor area cost of a well factory is Yuan; i isP2The total well site road construction cost is Yuan; i isMThe total cost of moving and installing the drilling machine in the block; r1Daily fees for drilling machines and moving and rereeling are Yuan/day; r is the drilling learning rate; b and c areLearning fitting coefficients of the adjacent well or the drilled well of the block;
Figure FDA0002879314650000041
the well depth of the nth well is m; hnjOpening a well length m for the jth well of the nth well; dinjOpening a drill bit, a sleeve and drilling fluid for the jth well of the nth well, wherein the unit price of the cement is per meter, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to mOpening device;Id_severThe directional cost of a single well is Yuan; n is a radical ofNumber of wellsTotal well number for the platform; m isOpening deviceThe number of well openings.
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