CN105422077A - Method for identifying reservoir stratum while drilling through logging comprehensive response characteristics - Google Patents
Method for identifying reservoir stratum while drilling through logging comprehensive response characteristics Download PDFInfo
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- CN105422077A CN105422077A CN201510754384.0A CN201510754384A CN105422077A CN 105422077 A CN105422077 A CN 105422077A CN 201510754384 A CN201510754384 A CN 201510754384A CN 105422077 A CN105422077 A CN 105422077A
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- reservoir
- logging
- well
- response
- well logging
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000005553 drilling Methods 0.000 title claims abstract description 31
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 claims description 52
- 239000011435 rock Substances 0.000 claims description 14
- 238000012360 testing method Methods 0.000 claims description 14
- 241001074085 Scophthalmus aquosus Species 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 239000010430 carbonatite Substances 0.000 abstract 4
- 230000004069 differentiation Effects 0.000 abstract 1
- 238000012067 mathematical method Methods 0.000 abstract 1
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000004836 empirical method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 239000003208 petroleum Substances 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
- 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 through logging comprehensive response characteristics. The method comprises the steps of taking data of a carbonatite target stratum of a drilled well within the same block, adopting original values or variation values of different logging parameters for forming a logging response parameter set according to the differentiation and particularity of all logging parameter reservoir stratum response characteristics, utilizing a non-linear mathematical method for establishing an explanation model which can effectively identify the carbonatite reservoir stratum according to the logging response parameter set, and achieving effective while-drilling identification of the carbonatite reservoir stratum. By means of the method, the problem that the accuracy of while-drilling explanation of the carbonatite reservoir stratum is not high is solved.
Description
Technical field
The present invention relates to a kind of comprehensive response characteristic of well logging that utilizes with boring the method identifying reservoir, belonging to petroleum natural gas exploration field.
Background technology
Logging parameters all has certain response for reservoir, and this is the basis of well logging RESERVOIR INTERPRETATION, and such as, disclosed in China Patent Publication No. 104504182A, a kind of unconventional gas reservoir reservoir knows method for distinguishing fast, and its publication date is 2015-04-08.But at carbonate strata, this response is usually poor, and possessing longitudinal discontinuity and parameter variability, namely 1 ~ 2 parameter may be had to have good response at certain section of reservoir, may be then that other 1 ~ 2 parameter has good response to next section of reservoir.Particularly for horizontal well, engineering parameter is complicated, logging parameters change and response characteristic also more complicated.
Logging parameters causes current interpretation while drilling to there is following problem for the response uncertainty of carbonate reservoir:
1, the interpretation while drilling parameter with good response feature finding certain stable is difficult in logging parameters.
2, based on one-parameter and biparametric curve method and the effect of intersection to RESERVOIR INTERPRETATION undesirable.
3, conventional method is difficult to the integrated interpretation carrying out multi-parameter, and the accuracy of artificial multi-parameter Identification is not high.
Summary of the invention
The object of the invention is to the problems referred to above overcoming prior art existence, providing a kind of comprehensive response characteristic of well logging that utilizes with boring the method identifying reservoir.The present invention is in same block based on the well log interpretation of drilling well carbonate rock target zone and oil test data, foundation effectively can identify the interpretation model of carbonate reservoir, realizing identifying with being drilled with effect carbonate reservoir, solving the problem that carbonate reservoir interpretation while drilling accuracy is not high.
For achieving the above object, the technical solution used in the present invention is as follows:
A kind of comprehensive response characteristic of well logging that utilizes is with boring the method identifying reservoir, it is characterized in that: in same block drilling well carbonate rock target zone data based on, according to otherness and the particularity of each logging parameters reservoir response characteristic, original value or changing value composition well logging response parameter group are adopted to different logging parameters, utilizing nonlinear mathematics method establishment effectively can identify the interpretation model of carbonate reservoir according to well logging response parameter group, realizing identifying with being drilled with effect carbonate reservoir.
Described method specifically comprises the steps:
The data of drilling well carbonate rock target zone in a, comprehensive same block, and classify;
B, data analysis is carried out to region data, select original value or changing value composition well logging response parameter group according to the reservoir response characteristic of each logging parameters;
C, according to well logging response parameter group, in conjunction with Reservoir Classification data, utilize nonlinear mathematics method establishment carbonate reservoir interpretation model;
D, in new well drilling process, according to set up RESERVOIR INTERPRETATION model, utilize logging parameters to carry out interpretation while drilling to carbonate reservoir, realize reservoir with brill identify.
In described step a, the well logging of drilling well carbonate rock target zone, well logging, oil test data in comprehensive same block, and according to well log interpretation and oil test data, area data is classified by Reservoir type.
In described step a, mode classification is: according to well log interpretation, the oil test data of drilling well carbonate rock target zone, classifies to area data according to non-reservoir, difference reservoir, good reservoir.
In described step b, according to region well logging, well logging, formation testing data, the reservoir response characteristic of each logging parameters is analyzed, select the logging parameters with reservoir with good response to form well logging response parameter group.
In described step b, in order to improve some low-response logging parameters or strengthen some high response logging parameters to the response of carbonate reservoir, join in well logging response parameter group after the change such as logarithmetics, section value, rate of change, classification is carried out to these parameters.
In described step c, according to the well logging response parameter group set up, in conjunction with the area data of different classification, utilize nonlinear mathematics method, set up carbonate reservoir interpretation model.
In described steps d, in new well drilling process, logging parameters is substituted in carbonate reservoir interpretation model and obtain Reservoir type discriminant value, realize identifying with brill of carbonate reservoir.
Employing the invention has the advantages that:
One, the present invention is in work area based on the well log interpretation of drilling well carbonate rock interval of interest and oil test data, according to otherness and the particularity of each logging parameters response of carbonate reservoir, changing value or original value composition well logging response parameter group are adopted to different logging parameters.Utilize nonlinear method to set up the interpretation model that effectively can identify carbonate reservoir according to well logging response parameter group, realizing identifying with being drilled with effect carbonate reservoir, solving the problem that carbonate reservoir interpretation while drilling accuracy is not high.
Two, the present invention is poor in the response of carbonate reservoir well logging, under relying on one, two class logging parameters to be difficult to accurately identify the condition of reservoir, include the logging parameters that multiclass has response in, increase the amount of well logging response parameter, and by the data variation to logging parameters, promote the matter of well logging response, set up interpretation model more accurately.
Three, the present invention utilizes the comprehensive response characteristic of well logging to identify that the method for reservoir belongs to the innovation of log data application process with boring, under current carbonate reservoir explains the condition that accuracy is not high, according to the comprehensive response characteristic of each logging parameters reservoir, find regular, realize effective RESERVOIR RECOGNITION.
Four, this method also has following multiple advantage: 1, real-time, and this method based on logging parameters, therefore can catch up with drill bit completely, realizes the carbonate reservoir identification with boring; 2, low cost, without the need to the extra charge of any experimental analysis; 3, easy to operate, once set up corresponding interpretation model, can be made an explanation by conventional software computing, simple to operate; 4, accuracy is higher, and this method obtains according to the comprehensive response characteristic inverting of carbonate reservoir, than before empirical method, accuracy is higher.This method is extensively adapted to the identification of carbonate reservoir, and invention is not only applicable to straight well, is also applicable to horizontal well.
Detailed description of the invention
A kind of comprehensive response characteristic of well logging that utilizes identifies the method for reservoir with boring: in same block drilling well carbonate rock target zone data based on, according to otherness and the particularity of each logging parameters reservoir response characteristic, original value or changing value composition well logging response parameter group are adopted to different logging parameters, utilizing nonlinear mathematics method establishment effectively can identify the interpretation model of carbonate reservoir according to well logging response parameter group, realizing identifying with being drilled with effect carbonate reservoir.
Described method specifically comprises the steps:
The data of drilling well carbonate rock target zone in a, comprehensive same block, and classify;
B, data analysis is carried out to region data, select original value or changing value composition well logging response parameter group according to the reservoir response characteristic of each logging parameters;
C, according to well logging response parameter group, in conjunction with Reservoir Classification data, utilize nonlinear mathematics method establishment carbonate reservoir interpretation model;
D, in new well drilling process, according to set up RESERVOIR INTERPRETATION model, utilize logging parameters to carry out interpretation while drilling to carbonate reservoir, realize reservoir with brill identify.
In described step a, the well logging of drilling well carbonate rock target zone, well logging, oil test data in comprehensive same block, and according to well log interpretation and oil test data, area data is classified by Reservoir type.
In described step a, mode classification is: according to well log interpretation, the oil test data of drilling well carbonate rock target zone, classifies to area data according to non-reservoir (discriminant value 0), difference reservoir (discriminant value 0.5), good reservoir (discriminant value 1).
In described step b, according to region well logging, well logging, formation testing data, the reservoir response characteristic of each logging parameters is analyzed, selects the logging parameters (there is the logging parameters of reasonable change at Reservoir Section) with reservoir with good response to form well logging response parameter group.
In described step b, in order to improve some low-response logging parameters or strengthen some high response logging parameters to the response of carbonate reservoir, join in well logging response parameter group after the change such as logarithmetics, section value, rate of change, classification is carried out to these parameters.
In described step c, according to the well logging response parameter group set up, in conjunction with the area data of different classification, utilize nonlinear mathematics method, set up carbonate reservoir interpretation model, this interpretation model is existing model, does not elaborate at this.
In described steps d, in new well drilling process, logging parameters is substituted in carbonate reservoir interpretation model and obtain Reservoir type discriminant value, realize identifying with brill of carbonate reservoir.
Claims (8)
1. one kind utilizes the comprehensive response characteristic of well logging with boring the method identifying reservoir, it is characterized in that: in same block drilling well carbonate rock target zone data based on, according to otherness and the particularity of each logging parameters reservoir response characteristic, original value or changing value composition well logging response parameter group are adopted to different logging parameters, utilizing nonlinear mathematics method establishment effectively can identify the interpretation model of carbonate reservoir according to well logging response parameter group, realizing identifying with being drilled with effect carbonate reservoir.
2. the comprehensive response characteristic of well logging that utilizes according to claim 1 is with boring the method identifying reservoir, it is characterized in that: described method specifically comprises the steps:
The data of drilling well carbonate rock target zone in a, comprehensive same block, and classify;
B, data analysis is carried out to region data, select original value or changing value composition well logging response parameter group according to the reservoir response characteristic of each logging parameters;
C, according to well logging response parameter group, in conjunction with Reservoir Classification data, utilize nonlinear mathematics method establishment carbonate reservoir interpretation model;
D, in new well drilling process, according to set up RESERVOIR INTERPRETATION model, utilize logging parameters to carry out interpretation while drilling to carbonate reservoir, realize reservoir with brill identify.
3. the comprehensive response characteristic of well logging that utilizes according to claim 2 is with boring the method identifying reservoir, it is characterized in that: in described step a, the well logging of drilling well carbonate rock target zone, well logging, oil test data in comprehensive same block, and according to well log interpretation and oil test data, area data is classified by Reservoir type.
4. the comprehensive response characteristic of well logging that utilizes according to claim 3 is with boring the method identifying reservoir, it is characterized in that: in described step a, mode classification is: according to well log interpretation, the oil test data of drilling well carbonate rock target zone, classifies to area data according to non-reservoir, difference reservoir, good reservoir.
5. the comprehensive response characteristic of well logging that utilizes according to claim 4 is with boring the method identifying reservoir, it is characterized in that: in described step b, according to region well logging, well logging, formation testing data, the reservoir response characteristic of each logging parameters is analyzed, selects the logging parameters with reservoir with good response to form well logging response parameter group.
6. the comprehensive response characteristic of well logging that utilizes according to claim 5 is with boring the method identifying reservoir, it is characterized in that: in described step b, in order to improve some low-response logging parameters or strengthen some high response logging parameters to the response of carbonate reservoir, join in well logging response parameter group after the change such as logarithmetics, section value, rate of change, classification is carried out to these parameters.
7. the comprehensive response characteristic of well logging that utilizes according to claim 6 is with boring the method identifying reservoir, it is characterized in that: in described step c, according to the well logging response parameter group set up, in conjunction with the area data of different classification, utilize nonlinear mathematics method, set up carbonate reservoir interpretation model.
8. the comprehensive response characteristic of well logging that utilizes according to claim 7 is with boring the method identifying reservoir, it is characterized in that: in described steps d, in new well drilling process, logging parameters is substituted in carbonate reservoir interpretation model and obtain Reservoir type discriminant value, realize identifying with brill of carbonate reservoir.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109736792A (en) * | 2019-01-07 | 2019-05-10 | 中国石油集团川庆钻探工程有限公司 | Natural gas reservoirs and its automatic identifying method containing fluid properties |
Citations (7)
| 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 judging fluid type of reservoir by utilizing logging data of while-drilling drilling fluid |
| CN104318109A (en) * | 2014-10-29 | 2015-01-28 | 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 |
| 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 utilizing 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 |
-
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- 2015-11-09 CN CN201510754384.0A patent/CN105422077B/en active Active
Patent Citations (7)
| 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 judging fluid type of reservoir by utilizing logging data of while-drilling drilling fluid |
| 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 |
| CN104318109A (en) * | 2014-10-29 | 2015-01-28 | 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 |
| 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 utilizing 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 |
|---|
| 唐谢等: "碳酸盐岩薄储层水平井随钻录井评价方法", 《天然气工业》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109736792A (en) * | 2019-01-07 | 2019-05-10 | 中国石油集团川庆钻探工程有限公司 | Natural gas reservoirs and its automatic identifying method containing fluid properties |
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