CN105590018A - Oil-water layer identification method for sandstone and mudstone thin interbed oil reservoir - Google Patents
Oil-water layer identification method for sandstone and mudstone thin interbed oil reservoir Download PDFInfo
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- CN105590018A CN105590018A CN201410643040.8A CN201410643040A CN105590018A CN 105590018 A CN105590018 A CN 105590018A CN 201410643040 A CN201410643040 A CN 201410643040A CN 105590018 A CN105590018 A CN 105590018A
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Abstract
The invention provides an oil-water layer identification method for a sandstone and mudstone thin interbed oil reservoir. The oil-water layer identification method for the sandstone and mudstone thin interbed oil reservoir comprises the steps: step 1, determining mud property through rock core observation; step 2, comprehensively identifying a reservoir; step 3, calculating the net resistivity Rt of reservoir sandstones by utilizing a multiple logging curve matching fitting reconstruction method; step 4, determining porosity POR and cementation exponent m of the reservoir; and step 5, reconstructing a water saturation curve. The oil-water layer identification method for the sandstone and mudstone thin interbed oil reservoir has the advantages that the lithology and thickness of the reservoir can be accurately identified, the net resistivity value of sandstones is calculated, the water saturation curve is reconstructed, a water saturation upper limit of an effective reservoir is determined, and finally the effective reservoir is accurately identified and partitioned.
Description
Technical field
The present invention relates to oil field development technical field, the oil-water-layer that particularly relates to a kind of thin sand-mud interbed oil reservoir is differentiatedMethod.
Background technology
Thin sand-mud interbed oil reservoir, longitudinally reservoir thickness changes greatly, and non-average is strong. Reservoir is thinner, log response is poor,Resolution ratio is low, causes fluid identification of reservoir difficulty, and the accurate differentiation of oil-water-layer of thin sand-mud interbed oil reservoir has become restriction shouldOne of bottleneck of class oil reservoir Efficient Development.
Different logging instruments, the logging principle of different logging programs, longitudinal frame, the horizontal detection degree of depth there are differences, pinProperty is chosen to many logs and mate matching, will contribute to learn from other's strong points to offset one's weaknesses, within the scope of certain thickness, obtain longitudinally highThe recognition result of resolution ratio, horizontal high investigation depth. Make up the deficiency of single log, ground for realizing certain geologyStudy carefully object and provide well logging foundation as certain thickness scope RESERVOIR RECOGNITION.
Clay in thin sand-mud interbed in reservoir on log electrical impact can not ignore, often cause the low electricity of reservoirResistance rate shows. Therefore need to reject shale content and kind on impact, extract the clean resistivity value of reservoir sandstone. For this reasonWe have invented a kind of oil-water-layer method of discrimination of new thin sand-mud interbed oil reservoir, have solved above technical problem.
Summary of the invention
The object of this invention is to provide one utilizes well logs coupling to identify thin sand-mud interbed with the Method of DeconvolutionThe recognition methods of the Effective Reservoirs of oil reservoir.
Object of the present invention can be achieved by the following technical measures: the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir,The oil-water-layer method of discrimination of this thin sand-mud interbed oil reservoir comprises: step 1, and observe and determine shale attribute by core; Step2, carry out reservoir comprehensive distinguishing; Step 3, many log coupling fitting reconfiguration methods are asked for the clean resistivity Rt of reservoir sandstone;Step 4, determines reservoir porosity POR and reservoir cementation factor m; And step 5, carry out water saturation curve Reconstruction.
Object of the present invention also can be achieved by the following technical measures:
Step 1 comprises:
Use rock core, well-log information to determine shale attribute, select lithology to reflect that good log carries out many curvesJoin matching, be reassembled as a high-resolution reservoir lithology identification curve, accurately identify reservoir lithology and thickness, thereby reallyDetermine the log parameter feature of pure shale;
Determine the contamination of shale in reservoir;
Analyze the attached state of depositing of microcosmic of shale in reservoir, be divided into that stratiform is attached deposits, disperses attached deposit and structure is attached deposits three kinds of states.
In step 2, according to different logging instruments, different logging program, it is poor that its longitudinal frame and the horizontal detection degree of depth existDifferent, specific aim is chosen many logs and is mated matching, learns from other's strong points to offset one's weaknesses, and obtains longitudinal high score within the scope of certain thicknessDistinguish the recognition result of rate, horizontal high investigation depth, make up the deficiency of single log, thereby accurately identify reservoir, because ofThis, utilize multi-cure-fitting method, sets up different-thickness rank thin sand-mud interbed log discrimination model.
In step 3, utilize natural gamma spectra curve to set up the shale kind differentiation chart board that crosses, determine reservoir shale kind,The shale content percentage of the many Curve Matchings the Fitting Calculation in integrating step 2, asks resistivity curve with DeconvolutionGet, thereby the clean resistivity value that obtains reservoir sandstone is asked in the impact of rejecting shale content and kind.
In step 4, utilize neutron, the density chart board that crosses, observe, determine the rich village of shale microcosmic state, pin in conjunction with coreThe different attached states of depositing of shale are chosen corresponding porosity computational methods and determined that porosity POR value and guides definite cementing finger of reservoirNumber m value.
In step 5, utilize Archie formula in conjunction with the clean resistivity Rt of fixed reservoir sandstone, reservoir porosity POR withThese parameter reconstruct water saturation curves of cementation factor m, and then reservoir water saturation is accurately identified, in conjunction with examinationOil achievement, determines Effective Reservoirs SWThe upper limit, and then realize the distinguishing and dividing of Effective Reservoirs.
In step 5, Archie formula is:
In formula, RW-formation water resistivity, Ω .m
Rt-formation rock true resistivity, Ω .m
M-formation cementation index
A-lithology factor
B-coefficient relevant with lithology
N-saturation exponent
POR-porosity, %.
The oil-water-layer method of discrimination of the thin sand-mud interbed oil reservoir in the present invention, comprise determine mud stone log parameter feature,Many logs coupling fitting reconfiguration methods ask for sandstone clean resistivity value Rt, determine reservoir cementation factor m value, contain water saturationDegree curve Reconstruction five steps. By core observation, determine attached state, the contamination deposited of microcosmic of mud stone, it is right to chooseLithology is reacted good log combination, determines shale content percentage and reservoir cementation factor m value, the identification of reconstruct lithologyCurve, accurately identifies reservoir lithology and thickness, and then asks for the clean resistivity value Rt of sandstone, reconstruct water saturation (SW)Curve. On this basis, determine the Effective Reservoirs water saturation upper limit, final accurately distinguishing and dividing Effective Reservoirs. ThisInvention is according to different logging instruments, different logging program, and its longitudinal frame and the horizontal detection degree of depth there are differences, forProperty is chosen many logs and is mated matching, learns from other's strong points to offset one's weaknesses, and obtains longitudinal high-resolution, horizontal stroke within the scope of certain thicknessTo the recognition result of high investigation depth, make up the deficiency of single log, thereby accurately identify reservoir.
Brief description of the drawings
Fig. 1 is the flow chart of a specific embodiment of the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir of the present invention;
Fig. 2 is the interior attached view of depositing of shale microcosmic of sandstone reservoir in a specific embodiment of the present invention;
Fig. 3 is that in a specific embodiment of the present invention, different logger longitudinal frames and investigation depth are related to schematic diagram.
Detailed description of the invention
For above and other object of the present invention, feature and advantage can be become apparent, cited below particularly go out preferred embodiment,And coordinate appended graphicly, be described in detail below.
As shown in Figure 1, Fig. 1 is a specific embodiment of the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir of the present inventionFlow chart.
In step 101, core is observed and is determined shale attribute: comprise that (1) uses rock core, well-log information to determine shale attribute,Select lithology to reflect that good log carries out the matching of many Curve Matchings, be reassembled as a high-resolution reservoir lithologyIdentification curve, accurately identifies reservoir lithology and thickness, thereby determines the log parameter feature of pure shale; (2) determine reservoirThe contamination of middle shale; (3) the attached state (stratiform, dispersion and structure) of depositing of microcosmic of shale in analysis reservoir, is shown in figure2, Fig. 2 is the interior attached view of depositing of shale microcosmic of sandstone reservoir in a specific embodiment of the present invention; In sandstone reservoir,Shale microcosmic is attached to be deposited state and is mainly divided into that stratiform is attached deposits, disperses attached deposit and structure is attached three kinds of states such as deposits. Flow process enters into stepRapid 102.
In step 102, reservoir comprehensive distinguishing: according to different logging instruments, different logging program, its longitudinal frame and horizontalInvestigation depth there are differences, and specific aim is chosen many logs and mated matching, learns from other's strong points to offset one's weaknesses, in certain thickness scopeThe recognition result of the longitudinal high-resolution of interior acquisition, horizontal high investigation depth, makes up the deficiency of single log, thereby smartReally identification reservoir. Therefore, utilize multi-cure-fitting method, can set up different-thickness rank thin sand-mud interbed well logging songLine discrimination model: as can be seen from Figure 3, imaging logging high accuracy identification (in longitudinal frame 1cm), microelectrode(3-5CM), microelectrode be combined with eight direction findings or with microballoon focus in conjunction with (35cm), neutron be combined with density (30-50) twoSide direction (50-70cm). By above-mentioned many Curve Matchings matching, obtain the recognition effect of high-resolution and larger investigation depth.And then the RESERVOIR RECOGNITION precision of raising thin sand-mud interbed. Flow process enters into step 103.
In step 103, the clean resistivity of reservoir sandstone (Rt) is asked for.
Due to the clay in reservoir in thin sand-mud interbed on log electrical impact can not ignore, cause the low electricity of reservoirResistance rate shows, so must reject shale content and the impact of kind on log thereof, the electrical song of reconstruct identification reservoirLine, the clean resistivity value of extraction reservoir sandstone. Utilize natural gamma spectra curve can set up the shale kind differentiation figure that crossesPlate, determines reservoir shale kind. The shale content percentage of the many Curve Matchings the Fitting Calculation in integrating step 102, with anti-Convolution method is asked for resistivity curve, thereby reject the impact of shale content and kind, asks for and obtains reservoir sandstoneClean resistivity value. Flow process enters into step 104.
In step 104, reservoir porosity POR and cementation factor m determine.
Utilize neutron, the density chart board that crosses, observe, determine the rich village of shale microcosmic state in conjunction with core. attached for shale differenceThe state of depositing is chosen corresponding porosity computational methods and is determined that porosity POR value and guides definite reservoir cementation factor m value. Flow process is enteredEnter to step 105.
In step 105, water saturation curve Reconstruction.
Use lithology is reflected to good log combination, determine reservoir shale content percentage and cementation factor m value, logicalCross Deconvolution and ask for the clean resistivity value Rt of sandstone, thereby utilize Archie formula (1) in conjunction with parameters such as fixed RtReconstruct water saturation curve, and then reservoir water saturation is accurately identified.
In conjunction with formation testing achievement, determine the Effective Reservoirs SW upper limit, and then realize the distinguishing and dividing of Effective Reservoirs.
In formula, RW-formation water resistivity, Ω .m
Rt-formation rock true resistivity, Ω .m
M-formation cementation index
A-lithology factor
B-coefficient relevant with lithology
N-saturation exponent
POR-porosity, %.
Flow process finishes.
Claims (7)
1. the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir, is characterized in that, the oil-water-layer of this thin sand-mud interbed oil reservoir is sentencedOther method comprises:
Step 1, is observed and is determined shale attribute by core;
Step 2, carries out reservoir comprehensive distinguishing;
Step 3, many log coupling fitting reconfiguration methods are asked for the clean resistivity Rt of reservoir sandstone;
Step 4, determines reservoir porosity POR and cementation factor m; And
Step 5, carries out water saturation curve Reconstruction.
2. the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir according to claim 1, is characterized in that, step 1 comprises:Use rock core, well-log information to determine shale attribute, select lithology to reflect that good log carries out many Curve Matchings planClose, be reassembled as a high-resolution reservoir lithology identification curve, accurately identify reservoir lithology and thickness, thereby determine pureThe log parameter feature of mud stone;
Determine the contamination of shale in reservoir;
Analyze the attached state of depositing of microcosmic of shale in reservoir, be divided into that stratiform is attached deposits, disperses attached deposit and structure is attached deposits three kinds of states.
3. the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir according to claim 1, is characterized in that, in step 2,According to different logging instruments, different logging program, its longitudinal frame and the horizontal detection degree of depth there are differences, and specific aim is chosenMany logs mate matching, learn from other's strong points to offset one's weaknesses, and obtain longitudinal high-resolution, laterally high spy within the scope of certain thicknessThe recognition result of depth measurement degree, makes up the deficiency of single log, thereby accurately identifies reservoir, therefore, utilizes many curvesApproximating method, sets up different-thickness rank thin sand-mud interbed log discrimination model.
4. the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir according to claim 3, is characterized in that, in step 3,Utilize natural gamma spectra curve to set up the shale kind differentiation chart board that crosses, determine reservoir shale kind, in integrating step 2The shale content percentage of many Curve Matchings the Fitting Calculation, asks for resistivity curve with Deconvolution, thereby rejectsThe impact of shale content and kind, asks for the clean resistivity value that obtains reservoir sandstone.
5. the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir according to claim 1, is characterized in that, in step 4,Utilize neutron, the density chart board that crosses, observe, determine the rich village of shale microcosmic state in conjunction with core, for different attached the depositing of shaleState is chosen corresponding porosity computational methods and is determined that porosity POR value and guides definite reservoir cementation factor m value.
6. the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir according to claim 1, is characterized in that, in step 5,Utilize Archie formula in conjunction with the clean resistivity Rt of fixed reservoir sandstone, reservoir porosity POR and these ginsengs of cementation factor mNumber reconstruct water saturation curve, and then reservoir water saturation is accurately identified, in conjunction with formation testing achievement, defineEffect reservoir SWThe upper limit, and then realize the distinguishing and dividing of Effective Reservoirs.
7. the oil-water-layer method of discrimination of thin sand-mud interbed oil reservoir according to claim 6, is characterized in that, in step 5,Archie formula is:
In formula, RW-formation water resistivity, Ω .m
Rt-formation rock true resistivity, Ω .m
M-formation cementation index
A-lithology factor
B-coefficient relevant with lithology
N-saturation exponent
POR-porosity, %.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111781663A (en) * | 2020-07-30 | 2020-10-16 | 陕西延长石油(集团)有限责任公司 | Method and model for rapidly judging sandstone reservoir fluid properties |
CN112257010A (en) * | 2020-09-14 | 2021-01-22 | 长江大学 | Calculation method for resistivity variation lower limit of mat sandstone oil layer |
CN112346147A (en) * | 2020-11-16 | 2021-02-09 | 吉林大学 | Reservoir evaluation method based on neutron density porosity difference |
CN113914853A (en) * | 2020-07-09 | 2022-01-11 | 中国石油天然气股份有限公司 | Method for determining water saturation of sand shale thin interbed sandstone reservoir of deep water sedimentation system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1291241C (en) * | 2005-04-07 | 2006-12-20 | 西北大学 | Method for forecasting oil gas in reservoir bed of constant velocity argillite formation |
US20090012746A1 (en) * | 2004-07-07 | 2009-01-08 | Suzanne Kairo | Predicting Sand-Grain Composition and Sand Texture |
CN102243678A (en) * | 2011-07-19 | 2011-11-16 | 北京师范大学 | Method for analyzing sand bodies in reservoirs based on inversion technique of sedimentary dynamics |
CN103590827A (en) * | 2013-11-22 | 2014-02-19 | 中国石油化工集团公司 | Dense clastic rock natural gas well productivity prediction method based on reservoir classification |
CN104007484A (en) * | 2014-06-06 | 2014-08-27 | 董春梅 | Shale classification method |
-
2014
- 2014-11-07 CN CN201410643040.8A patent/CN105590018A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090012746A1 (en) * | 2004-07-07 | 2009-01-08 | Suzanne Kairo | Predicting Sand-Grain Composition and Sand Texture |
CN1291241C (en) * | 2005-04-07 | 2006-12-20 | 西北大学 | Method for forecasting oil gas in reservoir bed of constant velocity argillite formation |
CN102243678A (en) * | 2011-07-19 | 2011-11-16 | 北京师范大学 | Method for analyzing sand bodies in reservoirs based on inversion technique of sedimentary dynamics |
CN103590827A (en) * | 2013-11-22 | 2014-02-19 | 中国石油化工集团公司 | Dense clastic rock natural gas well productivity prediction method based on reservoir classification |
CN104007484A (en) * | 2014-06-06 | 2014-08-27 | 董春梅 | Shale classification method |
Non-Patent Citations (5)
Title |
---|
崔晓朵,等;: "储层反演中有关特征曲线选择的探讨—以东海平湖油气田开发区储层反演为例", 《海洋石油》 * |
李颖,: "新肇地区P油层组油水层识别方法研究", 《中国优秀硕士学位论文全文数据库基础科学辑(月刊)》 * |
段林娣,: "高含泥薄层砂岩储层精细预测研究", 《中国博士学位论文全文数据库 基础科学辑(月刊)》 * |
程相志,: "低阻油气层识别评价技术及分布规律研究", 《中国博士学位论文全文数据库基础科学辑(月刊)》 * |
许君玉,等;: "胜坨油田坨七断块水淹层测井解释技术研究", 《断块油气田》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113914853A (en) * | 2020-07-09 | 2022-01-11 | 中国石油天然气股份有限公司 | Method for determining water saturation of sand shale thin interbed sandstone reservoir of deep water sedimentation system |
CN113914853B (en) * | 2020-07-09 | 2024-05-28 | 中国石油天然气股份有限公司 | Method for determining water saturation of sandstone reservoir of deep water deposition system sand shale thin interbed |
CN111781663A (en) * | 2020-07-30 | 2020-10-16 | 陕西延长石油(集团)有限责任公司 | Method and model for rapidly judging sandstone reservoir fluid properties |
CN112257010A (en) * | 2020-09-14 | 2021-01-22 | 长江大学 | Calculation method for resistivity variation lower limit of mat sandstone oil layer |
CN112257010B (en) * | 2020-09-14 | 2023-09-26 | 长江大学 | Calculation method for resistivity fluctuation lower limit value of mat sandstone oil layer |
CN112346147A (en) * | 2020-11-16 | 2021-02-09 | 吉林大学 | Reservoir evaluation method based on neutron density porosity difference |
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