CN108643896A - A kind of oil column thickness quantitative evaluation method based on fault barrier - Google Patents
A kind of oil column thickness quantitative evaluation method based on fault barrier Download PDFInfo
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- CN108643896A CN108643896A CN201810335932.XA CN201810335932A CN108643896A CN 108643896 A CN108643896 A CN 108643896A CN 201810335932 A CN201810335932 A CN 201810335932A CN 108643896 A CN108643896 A CN 108643896A
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000004888 barrier function Effects 0.000 title claims abstract description 11
- 238000011158 quantitative evaluation Methods 0.000 title claims abstract description 10
- 238000003325 tomography Methods 0.000 claims abstract description 20
- 239000004575 stone Substances 0.000 claims abstract description 14
- 238000011160 research Methods 0.000 claims abstract description 11
- 238000012512 characterization method Methods 0.000 claims abstract description 4
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 3
- 230000008021 deposition Effects 0.000 claims description 3
- 239000011435 rock Substances 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 abstract description 6
- 238000005457 optimization Methods 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 238000013178 mathematical model Methods 0.000 abstract 1
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000003208 petroleum Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
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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
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The oil column thickness quantitative evaluation method based on fault barrier that the invention discloses a kind of, research area is analyzed at geologic elements are hidden, works out relevant rudimentary graph, and by these bases, graph is overlapped two-by-two with oil reservoir, specifies the Dominated Factors of oil pool distribution.The oil columns of oil reservoir, which count, to be had found to research area, and it is fitted with the Dominated Factors for influencing oil pool distribution, specify the Dominated Factors of oil column thickness, be tomography mud stone shaving ratio in present example, reservoir inclination angle, angle between fault strike and principal stress.Three characterization parameters of angle between tomography mud stone shaving ratio, reservoir inclination angle, fault strike and principal stress and oil column thickness are subjected to multiple regression using SPSS Mathematical Statistics Analysis software, oil column thickness quantitative forecast mathematical model is obtained and is judged.The beneficial effects of the invention are as follows reliability, the accuracys that can improve oil and gas resource evaluation and well location Optimization deployment.
Description
Technical field
The invention belongs to petroleum resources technical field of geological exploration, are related to a kind of oil column thickness based on fault barrier
Quantitative evaluation method.
Background technology
Oil column thickness prediction has a very important significance oil and gas resource evaluation, well location Optimization deployment etc..It learns
Persons have carried out this large amount of fruitful researchs, form some Research Thinkings and prediction side about trap oiliness
Method.But these method spininess utilize SPSS softwares to influencing stratigraphic oil pool oil-containing lithologic and stratigraphic reservoirs, such as Ning Fangxing (2010)
The factor of height carries out multiple regression, establishes the fitting formula of oil columns；Zhao Leqiang (2010) is in oil columns and Dan Yin
On the basis of plain relationship analysis, stratigraphic oil pool oil columns multi-parameter fitting relational expression is established by multiple regression.Fault barrier
Oil reservoir (fault block oil reservoir, disconnected nose oil reservoir) is the Oil Reservoir Types of extensive development in China's oil-gas bearing basin, and oil columns become wide
Concerned important parameter, current evaluation method is mostly the oil reservoir data based on drilling well, in conjunction with the qualitative pre- of geological conditions
It surveys, it is difficult to meet the needs of fine granularing scalability；Wang Chao (2011) utilizes analytic hierarchy process (AHP), establishes fault block oil reservoir oil columns and master
Quantitative relationship between control factor, but its Dominated Factors considered is excessive, and the assignment of weight coefficient is more random, causes to predict
There are larger errors between value and actual value, lack applicability and generalization.Therefore, at present for fault-screened oil reservoir oil-containing
The prediction of height is still in qualitative-sxemiquantitative stage, and accuracy is inadequate, greatly restrict such oil reservoir it is effective exploration with
Exploitation.
Invention content
The oil column thickness quantitative evaluation method based on fault barrier that the purpose of the present invention is to provide a kind of, the present invention
Advantageous effect be the reliability that can improve oil and gas resource evaluation and well location Optimization deployment, accuracy.
The technical solution adopted in the present invention is to follow the steps below：
(1) Analysis The Main Control Factor of fault-screened oil reservoir distribution；
Research area is analyzed at geologic elements are hidden, works out relevant rudimentary graph, by these basic graphs and oil reservoir into
Row overlaps two-by-two, specifies the Dominated Factors of oil pool distribution；
(2) Analysis The Main Control Factor of fault-screened oil reservoir oil columns；
The oil columns of oil reservoir, which count, to be had found to research area, and is intended with the Dominated Factors for influencing oil pool distribution
It closes, specifies the Dominated Factors of oil column thickness；
(3) quantitative assessment of fault-screened oil reservoir oil columns；
Using SPSS Mathematical Statistics Analysis software by tomography mud stone shaving ratio, reservoir inclination angle, fault strike and principal stress it
Between three characterization parameters of angle and oil column thickness carry out multiple regression, obtain following oil column thickness quantitative forecast mathematics
Model：
H=35.8 × SGR+0.9 × θ+0.09 × α -23.5 (1)
In formula, H is oil column thickness, and unit m, SGR are tomography mud stone shaving ratio, and θ is reservoir inclination angle, unit °, and α is
Angle between tomography and principal stress, unit °, h are mud stone layer thickness within the scope of turn-off, and unit m, L are fault throw, unit m.
Further, described to include construction, deposition, reservoir, cap rock, strata pressure at Tibetan geologic elements.
Further, the Dominated Factors of the oil pool distribution are trap, reservoir and tomography.
Further, the Dominated Factors of the oil column thickness be tomography mud stone shaving ratio, reservoir inclination angle, fault strike with
Angle between principal stress.
Description of the drawings
Fig. 1 is the block diagram of the method for the present invention step；
Fig. 2 is to overlap figure two-by-two with oil reservoir at Tibetan geologic elements；
Fig. 3 is the Dominated Factors and oil columns relational graph of oil pool distribution.
Specific implementation mode
The present invention is described in detail With reference to embodiment.
A kind of oil column thickness quantitative evaluation method based on fault barrier is disclosed in the present invention, is helped with Bohai gulf basin
For positive down warping region Wei Bei recess, as shown in Figs. 1-3, the flow of specific method is as follows：
(1) Analysis The Main Control Factor of fault-screened oil reservoir distribution
Research area is analyzed at geologic elements (such as construction, deposition, reservoir, cap rock, strata pressure) are hidden, works out phase
Basic graph is closed, these basic graphs are overlapped into (Fig. 2) two-by-two with oil reservoir progress, specify the Dominated Factors of oil pool distribution, this hair
It is trap, reservoir and tomography in bright example.
(2) Analysis The Main Control Factor of fault-screened oil reservoir oil columns
The oil columns of oil reservoir, which count, to be had found to research area, and is intended with the Dominated Factors for influencing oil pool distribution
It closes (Fig. 3), specifies the Dominated Factors of oil column thickness, be tomography mud stone shaving ratio, reservoir inclination angle, tomography in present example
Angle between trend and principal stress.
(3) quantitative assessment of fault-screened oil reservoir oil columns
Using SPSS Mathematical Statistics Analysis software by tomography mud stone shaving ratio, reservoir inclination angle, fault strike and principal stress it
Between three characterization parameters of angle and oil column thickness carry out multiple regression, following oil column thickness quantitative forecast number can be obtained
Learn model：
H=35.8 × SGR+0.9 × θ+0.09 × α -23.5 (1)
In formula, H is oil column thickness, and unit m, SGR are tomography mud stone shaving ratio, and θ is reservoir inclination angle, unit °, and α is
Angle between tomography and principal stress, unit °, h are mud stone layer thickness within the scope of turn-off, and unit m, L are fault throw, unit m.
Evaluation result shows calculated value and actual value error (table 1) within 5%, shows that this method can be used for tomography screening
Keep off the quantitative forecast of oil column thickness.Table 1 is fault-screened oil reservoir oil columns quantitative forecast evaluation result tables of data.
Table 1
The present invention disclosure satisfy that the requirement of fault-screened oil reservoir oil columns quantitative forecast, good in research area's application effect
It is good and easily operated, other regions developed similar to tomography correlation oil reservoir can be applied to, commented to improve petroleum resources
The reliability of valence and well location Optimization deployment, accuracy.
The above is only the better embodiment to the present invention, not makees limit in any form to the present invention
System, every any simple modification that embodiment of above is made according to the technical essence of the invention, equivalent variations and modification,
Belong in the range of technical solution of the present invention.
Claims (4)
1. a kind of oil column thickness quantitative evaluation method based on fault barrier, it is characterised in that follow the steps below：
(1) Analysis The Main Control Factor of fault-screened oil reservoir distribution；
Research area is analyzed at geologic elements are hidden, works out relevant rudimentary graph, these basic graphs are carried out two with oil reservoir
Two overlappings, specify the Dominated Factors of oil pool distribution；
(2) Analysis The Main Control Factor of fault-screened oil reservoir oil columns；
The oil columns of oil reservoir, which count, to be had found to research area, and is fitted with the Dominated Factors for influencing oil pool distribution,
Specify the Dominated Factors of oil column thickness；
(3) quantitative assessment of fault-screened oil reservoir oil columns；
It will be pressed from both sides between tomography mud stone shaving ratio, reservoir inclination angle, fault strike and principal stress using SPSS Mathematical Statistics Analysis software
Three, angle characterization parameter carries out multiple regression with oil column thickness, obtains following oil column thickness quantitative forecast mathematical modulo
Type：
H=35.8 × SGR+0.9 × θ+0.09 × α -23.5 (1)
In formula, H is oil column thickness, and unit m, SGR are tomography mud stone shaving ratio, and θ is reservoir inclination angle, and unit °, α is tomography
Angle between principal stress, unit °, h are mud stone layer thickness within the scope of turn-off, and unit m, L are fault throw, unit m.
2. according to a kind of oil column thickness quantitative evaluation method based on fault barrier described in claim 1, it is characterised in that：
It is described to include construction, deposition, reservoir, cap rock, strata pressure at Tibetan geologic elements.
3. according to a kind of oil column thickness quantitative evaluation method based on fault barrier described in claim 1, it is characterised in that：
The Dominated Factors of the oil pool distribution are trap, reservoir and tomography.
4. according to a kind of oil column thickness quantitative evaluation method based on fault barrier described in claim 1, it is characterised in that：
The Dominated Factors of the oil column thickness are angle between tomography mud stone shaving ratio, reservoir inclination angle, fault strike and principal stress.
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| CN201810335932.XA CN108643896B (en) | 2018-04-16 | 2018-04-16 | Oil reservoir oil-containing height quantitative evaluation method based on fault shielding |
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| CN201810335932.XA CN108643896B (en) | 2018-04-16 | 2018-04-16 | Oil reservoir oil-containing height quantitative evaluation method based on fault shielding |
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Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2287093A (en) * | 1994-03-04 | 1995-09-06 | Schlumberger Ltd | Monitoring formation fractures surrounding borehole |
| CN1749780A (en) * | 2005-09-21 | 2006-03-22 | 大庆油田有限责任公司 | Ternary classification method for oil and gas reservoir |
| US20070118292A1 (en) * | 2005-11-22 | 2007-05-24 | Geomechanics International, Inc. | Stress and pore pressure limits using a strength of materials approach |
| RU119388U1 (en) * | 2012-02-21 | 2012-08-20 | Владимир Анатольевич Иванов | DEVELOPMENT OF A MULTIPLE WELL FOR A FAN INTERIOR INTERVAL OF PRODUCING A MULTI-LAYERED OIL LAYER |
| CN104133040A (en) * | 2014-07-31 | 2014-11-05 | 中国石油大学(北京) | Method and device for predicting favorable distribution and growth range of conventional tight sandstone gas reservoir |
| CN104914481A (en) * | 2015-05-13 | 2015-09-16 | 中国石油大学(华东) | Volcanic zone fault sealing comprehensive evaluation method |
| CN105089615A (en) * | 2014-05-16 | 2015-11-25 | 中国石油化工股份有限公司 | Log data historical retrogression treatment method based on oil reservoir model |
| CN105467450A (en) * | 2015-11-09 | 2016-04-06 | 中国石油化工股份有限公司 | Oil reservoir prediction method based on spatial amplitude change rate of bright spots |
| CN106294890A (en) * | 2015-05-12 | 2017-01-04 | 中国石油化工股份有限公司 | A kind of sandy conglomerate bodies fracturing fracture control design case method |
| CN106338764A (en) * | 2016-08-26 | 2017-01-18 | 北京恒博鑫宇石油科技有限公司 | Stratigraphic trap oil and gas reservoir overlap-denudation line identification method through bio-inspired computing |
| CN106570339A (en) * | 2016-11-14 | 2017-04-19 | 中国石油化工股份有限公司 | Overlapping stratigraphic trap lateral blocking property quantitative evaluation method based on mechanical analysis |
| CN106680891A (en) * | 2017-01-19 | 2017-05-17 | 中国石油大学(华东) | Quantitative evaluation method of fault vertical opening-closing performance during oil-gas reservoir-forming period |
| CN106802988A (en) * | 2017-01-06 | 2017-06-06 | 中海石油(中国)有限公司 | A kind of remaining flowable Reserves Assessment method |
| CN107292435A (en) * | 2017-06-16 | 2017-10-24 | 中国石油化工股份有限公司江汉油田分公司勘探开发研究院 | A kind of Fault-block trap evaluation method based on oil columns quantitative forecast |
| CN107366537A (en) * | 2016-09-23 | 2017-11-21 | 中国石油化工股份有限公司 | The method of non-producing reserves block classification reservoir evaluation |
| CN107576997A (en) * | 2017-08-24 | 2018-01-12 | 西南石油大学 | A kind of Forecasting Methodology of the interior mutually thin reservoir distribution in beach |
| CN107725040A (en) * | 2016-08-11 | 2018-02-23 | 中国石油天然气股份有限公司 | Series of strata recombination method and device |
| CN107807407A (en) * | 2017-09-30 | 2018-03-16 | 中国石油天然气股份有限公司 | A kind of petroleum zone efficiency evaluation method and apparatus |
-
2018
- 2018-04-16 CN CN201810335932.XA patent/CN108643896B/en not_active Expired - Fee Related
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2287093A (en) * | 1994-03-04 | 1995-09-06 | Schlumberger Ltd | Monitoring formation fractures surrounding borehole |
| CN1749780A (en) * | 2005-09-21 | 2006-03-22 | 大庆油田有限责任公司 | Ternary classification method for oil and gas reservoir |
| US20070118292A1 (en) * | 2005-11-22 | 2007-05-24 | Geomechanics International, Inc. | Stress and pore pressure limits using a strength of materials approach |
| RU119388U1 (en) * | 2012-02-21 | 2012-08-20 | Владимир Анатольевич Иванов | DEVELOPMENT OF A MULTIPLE WELL FOR A FAN INTERIOR INTERVAL OF PRODUCING A MULTI-LAYERED OIL LAYER |
| CN105089615A (en) * | 2014-05-16 | 2015-11-25 | 中国石油化工股份有限公司 | Log data historical retrogression treatment method based on oil reservoir model |
| CN104133040A (en) * | 2014-07-31 | 2014-11-05 | 中国石油大学(北京) | Method and device for predicting favorable distribution and growth range of conventional tight sandstone gas reservoir |
| CN106294890A (en) * | 2015-05-12 | 2017-01-04 | 中国石油化工股份有限公司 | A kind of sandy conglomerate bodies fracturing fracture control design case method |
| CN104914481A (en) * | 2015-05-13 | 2015-09-16 | 中国石油大学(华东) | Volcanic zone fault sealing comprehensive evaluation method |
| CN105467450A (en) * | 2015-11-09 | 2016-04-06 | 中国石油化工股份有限公司 | Oil reservoir prediction method based on spatial amplitude change rate of bright spots |
| CN107725040A (en) * | 2016-08-11 | 2018-02-23 | 中国石油天然气股份有限公司 | Series of strata recombination method and device |
| CN106338764A (en) * | 2016-08-26 | 2017-01-18 | 北京恒博鑫宇石油科技有限公司 | Stratigraphic trap oil and gas reservoir overlap-denudation line identification method through bio-inspired computing |
| CN107366537A (en) * | 2016-09-23 | 2017-11-21 | 中国石油化工股份有限公司 | The method of non-producing reserves block classification reservoir evaluation |
| CN106570339A (en) * | 2016-11-14 | 2017-04-19 | 中国石油化工股份有限公司 | Overlapping stratigraphic trap lateral blocking property quantitative evaluation method based on mechanical analysis |
| CN106802988A (en) * | 2017-01-06 | 2017-06-06 | 中海石油(中国)有限公司 | A kind of remaining flowable Reserves Assessment method |
| CN106680891A (en) * | 2017-01-19 | 2017-05-17 | 中国石油大学(华东) | Quantitative evaluation method of fault vertical opening-closing performance during oil-gas reservoir-forming period |
| CN107292435A (en) * | 2017-06-16 | 2017-10-24 | 中国石油化工股份有限公司江汉油田分公司勘探开发研究院 | A kind of Fault-block trap evaluation method based on oil columns quantitative forecast |
| CN107576997A (en) * | 2017-08-24 | 2018-01-12 | 西南石油大学 | A kind of Forecasting Methodology of the interior mutually thin reservoir distribution in beach |
| CN107807407A (en) * | 2017-09-30 | 2018-03-16 | 中国石油天然气股份有限公司 | A kind of petroleum zone efficiency evaluation method and apparatus |
Non-Patent Citations (6)
| Title |
|---|
| 宁方兴: "济阳坳陷地层油气藏成藏动力与含油高度预测", 《新疆石油天然气》 * |
| 张立宽: "断层连通概率法定量评价断层的启闭性", 《石油与天然气地质》 * |
| 曹跃: "鄂尔多斯盆地东韩油区延长组长 7—长 9 油气成藏条件及主控因素", 《岩性油气藏》 * |
| 王超: "断层油藏含油高度主控因素研究—以东辛油田沙二段为例", 《中国优秀硕士学位论文全文数据库基础科学辑》 * |
| 赵乐强: "济阳坳陷第三系油藏含油高度定量预测", 《石油勘探与开发》 * |
| 黎华: "东濮凹陷马厂地区油气成藏特征及主控因素分析", 《石油天然气学报 （江汉石油学院学报）》 * |
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