CN105422077B - Method for identifying reservoir stratum while drilling by using logging comprehensive response characteristics - Google Patents
Method for identifying reservoir stratum while drilling by using logging comprehensive response characteristics Download PDFInfo
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- CN105422077B CN105422077B CN201510754384.0A CN201510754384A CN105422077B CN 105422077 B CN105422077 B CN 105422077B CN 201510754384 A CN201510754384 A CN 201510754384A CN 105422077 B CN105422077 B CN 105422077B
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- 230000004044 response Effects 0.000 title claims abstract 26
- 238000000034 method Methods 0.000 title claims abstract 16
- 238000005553 drilling Methods 0.000 title claims abstract 11
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 claims abstract 16
- 239000011435 rock Substances 0.000 claims abstract 7
- 238000012067 mathematical method Methods 0.000 claims abstract 2
- 241001074085 Scophthalmus aquosus Species 0.000 claims 9
- 238000012360 testing method Methods 0.000 claims 4
- 230000015572 biosynthetic process Effects 0.000 claims 1
- 238000007405 data analysis Methods 0.000 claims 1
- 230000004043 responsiveness Effects 0.000 claims 1
- 238000006467 substitution reaction Methods 0.000 claims 1
Classifications
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- 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
- E21B47/00—Survey of boreholes or wells
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- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Geophysics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
- Earth Drilling (AREA)
Abstract
The invention discloses a method for identifying a reservoir stratum while drilling by utilizing logging comprehensive response characteristics, which comprises the following steps: the method comprises the steps of taking data of a target layer of the carbonate rock drilled in the same block as a basis, forming a logging response parameter group by adopting original values or variation values for different logging parameters according to the difference and the particularity of response characteristics of each logging parameter reservoir layer, establishing an interpretation model capable of effectively identifying the carbonate rock reservoir layer by using a nonlinear mathematical method according to the logging response parameter group, and realizing the effective identification of the carbonate rock reservoir layer while drilling. The invention solves the problem of low accuracy of carbonate reservoir interpretation while drilling.
Description
Technical field
The present invention relates to a kind of using the comprehensive response characteristic of well logging with the method for boring identification reservoir, belongs to petroleum gas and surveys
Visit development field.
Background technique
Logging parameters all have reservoir certain responsiveness, this is the basis of well logging RESERVOIR INTERPRETATION, for example, China is specially
A kind of unconventional gas reservoir reservoir disclosed in sharp publication number 104504182A quickly knows method for distinguishing, publication date 2015-04-
08.However in carbonate strata, this responsiveness is usually poor, and has longitudinal discontinuity and parameter variability, i.e., at certain
Section reservoir may have 1 ~ 2 parameter to have good response, and then may be that other 1 ~ 2 parameter has well to next section of reservoir
Response.Especially for horizontal well, engineering parameter is complicated, and logging parameters variation and response characteristic are also more complicated.
Logging parameters are uncertain for the response of carbonate reservoir to cause current interpretation while drilling to have the following problems:
1, some stable interpretation while drilling parameter with good response feature is difficult to find that in logging parameters.
2, undesirable to the effect of RESERVOIR INTERPRETATION based on one-parameter and two-parameter curve method and intersection.
3, conventional method is difficult to carry out the integrated interpretation of multi-parameter, and the accuracy of artificial multi-parameter Identification is not high.
Summary of the invention
It is an object of the invention to overcome the above problem of the existing technology, provide a kind of special using the comprehensive response of well logging
Sign is with the method for boring identification reservoir.The present invention is with the well log interpretation of drilling well carbonate rock target zone and formation testing in the same block
Based on data, the interpretation model of carbonate reservoir can effectively be identified by establishing, and be realized to carbonate reservoir with being drilled with effect
Identification, solves the problems, such as that carbonate reservoir interpretation while drilling accuracy is not high.
To achieve the above object, The technical solution adopted by the invention is as follows:
A method of reservoir being identified with brill using the comprehensive response characteristic of well logging, it is characterised in that: in the same block
Based on the data of drilling well carbonate rock target zone, according to the otherness and particularity of each logging parameters reservoir response characteristic,
Well logging response parameter group is formed using original value or changing value to different logging parameters, is utilized according to well logging response parameter group non-thread
Property mathematical method establish and can effectively identify the interpretation model of carbonate reservoir, realize and carbonate reservoir known with being drilled with effect
Not.
The method specifically comprises the following steps:
A, data of drilling well carbonate rock target zone in the comprehensive same block, and classify；
B, data analysis is carried out to region data, original value or variation is selected according to the reservoir response characteristic of each logging parameters
Value composition well logging response parameter group；
C, according to well logging response parameter group, in conjunction with Reservoir Classification data, carbonate rock is established using nonlinear mathematics method
RESERVOIR INTERPRETATION model；
D, in new well drilling process, according to the RESERVOIR INTERPRETATION model of foundation, using logging parameters to carbonate reservoir
Interpretation while drilling is carried out, realizes identifying with brill for reservoir.
In the step a, the well logging of drilling well carbonate rock target zone, well logging, oil test data in the comprehensive same block,
And classified to area data by Reservoir type according to well log interpretation and oil test data.
In the step a, mode classification are as follows: according to the well log interpretation of drilling well carbonate rock target zone, oil test data, press
Classify according to non-reservoir, poor reservoir, good reservoir to area data.
In the step b, according to region well logging, well logging, formation testing data, the reservoir response characteristic of each logging parameters is carried out
Analysis, selection with reservoir there are the logging parameters of good response to form well logging response parameter group.
In the step b, in order to improve certain low-response logging parameters or strengthen certain high response logging parameters to carbonic acid
The responsiveness of rock salt reservoir is added to well logging sound after carrying out the variations such as logarithmetics, section value, change rate, classification to these parameters
It answers in parameter group.
In the step c, according to the well logging response parameter group of foundation, in conjunction with the area data of different classifications, utilization is non-thread
Property mathematical method, establishes carbonate reservoir interpretation model.
In the step d, in new well drilling process, logging parameters is substituted into carbonate reservoir interpretation model and are obtained
Reservoir type discriminant value realizes identifying with brill for carbonate reservoir.
Using the present invention has the advantages that
One, the present invention is by work area based on the well log interpretation and oil test data of drilling well carbonate rock interval of interest, root
According to the otherness and particularity of each logging parameters response of carbonate reservoir, changing value or original value are used to different logging parameters
Form well logging response parameter group.Carbonate reservoir can be effectively identified using nonlinear method foundation according to well logging response parameter group
Interpretation model, realize to carbonate reservoir with effect identification is drilled with, solve carbonate reservoir interpretation while drilling accuracy
Not high problem.
Two, the present invention is poor in the response of carbonate reservoir well logging, is difficult to accurately identify by one, two class logging parameters
Under conditions of reservoir, the logging parameters that multiclass has responsiveness are included in, increase the amount of well logging response parameter, and by well logging
The data variation of parameter promotes the matter of well logging response, establishes more accurate interpretation model.
Three, the present invention belongs to log data application method with the method for boring identification reservoir using the comprehensive response characteristic of well logging and creates
It newly, is that response characteristic is integrated according to each logging parameters reservoir under conditions of current carbonate reservoir explains that accuracy is not high,
Regularity is found, realizes effective RESERVOIR RECOGNITION.
Four, this method also has the advantages that following multiple: 1, real-time, and this method is based on logging parameters, therefore energy is completely
Drill bit is kept up with, realizes and is identified with the carbonate reservoir of brill；2, inexpensive, the extra charge without any experimental analysis；3, easily
Operation, once setting up corresponding interpretation model, can be explained by conventional software operation, easy to operate；4, accuracy
Higher, this method is obtained according to the comprehensive response characteristic inverting of carbonate reservoir, and compared with pervious empirical method, accuracy is more
It is high.This method is widely applicable to the identification of carbonate reservoir, and invention is applicable not only to straight well, is also applied for horizontal well.
Specific embodiment
A method of reservoir being identified with boring using the comprehensive response characteristic of well logging: with drilling well carbonate in the same block
Based on the data of rock target zone, according to the otherness and particularity of each logging parameters reservoir response characteristic, different well loggings are joined
Number forms well logging response parameter group using original value or changing value, is built according to well logging response parameter group using nonlinear mathematics method
The vertical interpretation model that can effectively identify carbonate reservoir is realized to carbonate reservoir with being drilled with effect identification.
The method specifically comprises the following steps:
A, data of drilling well carbonate rock target zone in the comprehensive same block, and classify；
B, data analysis is carried out to region data, original value or variation is selected according to the reservoir response characteristic of each logging parameters
Value composition well logging response parameter group；
C, according to well logging response parameter group, in conjunction with Reservoir Classification data, carbonate rock is established using nonlinear mathematics method
RESERVOIR INTERPRETATION model；
D, in new well drilling process, according to the RESERVOIR INTERPRETATION model of foundation, using logging parameters to carbonate reservoir
Interpretation while drilling is carried out, realizes identifying with brill for reservoir.
In the step a, the well logging of drilling well carbonate rock target zone, well logging, oil test data in the comprehensive same block,
And classified to area data by Reservoir type according to well log interpretation and oil test data.
In the step a, mode classification are as follows: according to the well log interpretation of drilling well carbonate rock target zone, oil test data, press
Classify according to non-reservoir (discriminant value 0), poor reservoir (discriminant value 0.5), good reservoir (discriminant value 1) to area data.
In the step b, according to region well logging, well logging, formation testing data, the reservoir response characteristic of each logging parameters is carried out
Analysis, selection with reservoir there is logging parameters (there are the logging parameters of reasonable change in the Reservoir Section) composition of good response to record
Well response parameter group.
In the step b, in order to improve certain low-response logging parameters or strengthen certain high response logging parameters to carbonic acid
The responsiveness of rock salt reservoir is added to well logging sound after carrying out the variations such as logarithmetics, section value, change rate, classification to these parameters
It answers in parameter group.
In the step c, according to the well logging response parameter group of foundation, in conjunction with the area data of different classifications, utilization is non-thread
Property mathematical method, establish carbonate reservoir interpretation model, this interpretation model be existing model, do not elaborate herein.
In the step d, in new well drilling process, logging parameters is substituted into carbonate reservoir interpretation model and are obtained
Reservoir type discriminant value realizes identifying with brill for carbonate reservoir.
Claims (8)
1. it is a kind of using the comprehensive response characteristic of well logging with the method for boring identification reservoir, it is characterised in that: in the same block
It is right according to the otherness and particularity of each logging parameters reservoir response characteristic based on the data of drilling well carbonate rock target zone
Different logging parameters form well logging response parameter group using original value or changing value, are utilized according to well logging response parameter group non-linear
Mathematical method, which is established, can effectively identify the interpretation model of carbonate reservoir, realize and know to carbonate reservoir with being drilled with effect
Not.
2. the method according to claim 1 for identifying reservoir with brill using the comprehensive response characteristic of well logging, it is characterised in that: institute
The method of stating specifically comprises the following steps:
A, data of drilling well carbonate rock target zone in the comprehensive same block, and classify；
B, data analysis is carried out to region data, original value or changing value group is selected according to the reservoir response characteristic of each logging parameters
At well logging response parameter group；
C, according to well logging response parameter group, in conjunction with Reservoir Classification data, carbonate reservoir is established using nonlinear mathematics method
Interpretation model；
D, in new well drilling process, according to the RESERVOIR INTERPRETATION model of foundation, carbonate reservoir is carried out using logging parameters
Interpretation while drilling realizes identifying with brill for reservoir.
3. the method according to claim 2 for identifying reservoir with brill using the comprehensive response characteristic of well logging, it is characterised in that: institute
It states in step a, the well logging of drilling well carbonate rock target zone, well logging, oil test data in the comprehensive same block, and according to well logging
It explains and oil test data classifies to area data by Reservoir type.
4. the method according to claim 3 for identifying reservoir with brill using the comprehensive response characteristic of well logging, it is characterised in that: institute
State in step a, mode classification are as follows: according to the well log interpretation of drilling well carbonate rock target zone, oil test data, according to non-reservoir,
Poor reservoir, good reservoir classify to area data.
5. the method according to claim 4 for identifying reservoir with brill using the comprehensive response characteristic of well logging, it is characterised in that: institute
It states in step b, according to region well logging, well logging, formation testing data, the reservoir response characteristic of each logging parameters is analyzed, select
With reservoir there are the logging parameters of good response to form well logging response parameter group.
6. the method according to claim 5 for identifying reservoir with brill using the comprehensive response characteristic of well logging, it is characterised in that: institute
It states in step b, in order to improve certain low-response logging parameters or strengthen certain high response logging parameters to carbonate reservoir
Responsiveness is added in well logging response parameter group after carrying out logarithmetics to these parameters, cut value, change rate, Classification Change.
7. the method according to claim 6 for identifying reservoir with brill using the comprehensive response characteristic of well logging, it is characterised in that: institute
It states in step c, according to the well logging response parameter group of foundation, in conjunction with the area data of different classifications, using nonlinear mathematics method,
Establish carbonate reservoir interpretation model.
8. the method according to claim 7 for identifying reservoir with brill using the comprehensive response characteristic of well logging, it is characterised in that: institute
It states in step d, in new well drilling process, sentences Reservoir type is obtained in logging parameters substitution carbonate reservoir interpretation model
It is not worth, realizes identifying with brill for carbonate reservoir.
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| CN109736792B (en) * | 2019-01-07 | 2022-09-06 | 中国石油集团川庆钻探工程有限公司 | Natural gas reservoir and automatic identification method of fluid-containing property thereof |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA979071A (en) * | 1971-10-13 | 1975-12-02 | Schlumberger Canada Limited | Well logging data processing methods |
| US4697650A (en) * | 1984-09-24 | 1987-10-06 | Nl Industries, Inc. | Method for estimating formation characteristics of the exposed bottomhole formation |
| CN103806911A (en) * | 2014-03-07 | 2014-05-21 | 中国石油集团川庆钻探工程有限公司 | Method for distinguishing reservoir fluid type by using drilling fluid logging while drilling data |
| CN104329079A (en) * | 2014-09-09 | 2015-02-04 | 中国石油大学(北京) | Method and system for recognizing gas logging oil and gas reservoir |
| CN104463686A (en) * | 2014-10-29 | 2015-03-25 | 中国石油集团川庆钻探工程有限公司 | Method for identifying shale gas reservoir while drilling by using discriminant analysis method |
| CN104747183A (en) * | 2015-02-02 | 2015-07-01 | 中石化西南石油工程有限公司地质录井分公司 | Carbonate reservoir comprehensive classification method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104318109B (en) * | 2014-10-29 | 2018-05-01 | 中国石油集团川庆钻探工程有限公司 | Shale Gas Reservoir Identification Method Based on Support Vector Machine |
-
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- 2015-11-09 CN CN201510754384.0A patent/CN105422077B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA979071A (en) * | 1971-10-13 | 1975-12-02 | Schlumberger Canada Limited | Well logging data processing methods |
| US4697650A (en) * | 1984-09-24 | 1987-10-06 | Nl Industries, Inc. | Method for estimating formation characteristics of the exposed bottomhole formation |
| CN103806911A (en) * | 2014-03-07 | 2014-05-21 | 中国石油集团川庆钻探工程有限公司 | Method for distinguishing reservoir fluid type by using drilling fluid logging while drilling data |
| CN104329079A (en) * | 2014-09-09 | 2015-02-04 | 中国石油大学(北京) | Method and system for recognizing gas logging oil and gas reservoir |
| CN104463686A (en) * | 2014-10-29 | 2015-03-25 | 中国石油集团川庆钻探工程有限公司 | Method for identifying shale gas reservoir while drilling by using discriminant analysis method |
| CN104747183A (en) * | 2015-02-02 | 2015-07-01 | 中石化西南石油工程有限公司地质录井分公司 | Carbonate reservoir comprehensive classification method |
Non-Patent Citations (1)
| Title |
|---|
| 碳酸盐岩薄储层水平井随钻录井评价方法;唐谢等;《天然气工业》;20130924;第33卷(第9期);第43-47页 |
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