CN105842733A - Shale reservoir earthquake identification method - Google Patents
Shale reservoir earthquake identification method Download PDFInfo
- Publication number
- CN105842733A CN105842733A CN201610151758.4A CN201610151758A CN105842733A CN 105842733 A CN105842733 A CN 105842733A CN 201610151758 A CN201610151758 A CN 201610151758A CN 105842733 A CN105842733 A CN 105842733A
- Authority
- CN
- China
- Prior art keywords
- shale
- interval
- seismic
- logging
- layer segment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000002349 favourable effect Effects 0.000 claims abstract description 29
- 238000011161 development Methods 0.000 claims abstract description 28
- 238000011156 evaluation Methods 0.000 claims abstract description 13
- 238000009826 distribution Methods 0.000 claims abstract description 9
- 238000010276 construction Methods 0.000 claims abstract description 7
- 208000010392 Bone Fractures Diseases 0.000 claims description 16
- 206010017076 Fracture Diseases 0.000 claims description 16
- 230000015572 biosynthetic process Effects 0.000 claims description 12
- 230000001133 acceleration Effects 0.000 claims description 7
- 230000005251 gamma ray Effects 0.000 claims description 4
- 102000000584 Calmodulin Human genes 0.000 claims description 3
- 108010041952 Calmodulin Proteins 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000010008 shearing Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 6
- 230000008021 deposition Effects 0.000 abstract description 5
- 239000011435 rock Substances 0.000 abstract description 3
- 238000012216 screening Methods 0.000 abstract 3
- 238000011160 research Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000005553 drilling Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000005012 migration Effects 0.000 description 2
- 238000013508 migration Methods 0.000 description 2
- 239000011148 porous material Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 239000002734 clay mineral Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000037361 pathway Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 239000003079 shale oil Substances 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/624—Reservoir parameters
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a shale reservoir earthquake identification method. The method is characterized by using earthquake exploration to identify a construction form, a depth, a thickness and distribution of a shale rock stratum; carrying out exploratory well construction on an identified area which is developed completely in the shale rock stratum; carrying out logging operation on an exploratory well, according to a well logging interpretation, dividing a shale layer segment deposition microphase, screening a favorable shale layer deposition microphase development layer segment and determining an areal extent; and then carrying out prestack earthquake inversion on the screened deposited favorable shale layer segment, screening a favorable layer segment containing an oil gas, analyzing a structural main curvature, an earthquake coherence cube and a variance attribute of the layer segment, screening the layer segment with the large curvature and incoherent or discontinuous earthquake data and taking as a favorable crack development layer segment, combining a shale brittleness evaluation and determining a high-quality shale reservoir so as to realize a purpose of shale gas reservoir identification taking an earthquake technology as a main body.
Description
Technical field
The present invention relates to geological exploration and development field, relate in particular to shale seismic reservoir recognition methods.
Background technology
Shale gas reservoir is to be present in organic and clay mineral surface with ADSORPTION STATE in source bed, or is present in shale matrix pores and crack with free state, shows as typical " being certainly conigenous storage " and becomes Tibetan feature.Shale oil gas as energy extraction source newborn in recent years, from thinking the exploitation carrying out petroleum resources the source bed that cannot preserve oil gas in the past, has prospect widely in the world.And different from the pore channel in conventional sandstone reservoir, rammell use crack carry out oil-gas migration, crack both can be that shale gas provides gathering space, it is possible to the production for shale gas provides migration pathway.Shale gas has been the focus of China's unconventionaloil pool area research, and Ministry of Land and Resources points out in the shale gas resource potential research and appraisal achievement of the whole nation, and China's shale gas exploration-development potential is huge, and industrial prospect is wide.But, current China to the exploration and development of shale gas also in resource assessment, Favorable Areas preferably with guide district experimental stage, technological means is the most immature, and particularly seismic exploration technique lacks systematic research method, also rests on the research mode of conventional oil gas reservoir.
Summary of the invention
It is an object of the invention to propose shale seismic reservoir recognition methods, to solve the problem that the exploration and development means of shale gas in prior art lack system approach, it is achieved the purpose of the shale gas reservoir RESERVOIR RECOGNITION based on seismic technology.
The present invention is achieved through the following technical solutions:
Shale seismic reservoir recognition methods, including techniques below step: (a), in a certain exploration and development block, carries out seismic prospecting, utilizes seismic prospecting, surface geology data, identifies the structural configuration of shale formation, the degree of depth, thickness and distribution thereof;B () is grown complete region at the shale formation identified and is carried out prospect pit construction, prospect pit is carried out logging operation, well logging project includes: resistivity logging, acoustic travel time logging, nutural potential logging, gamma ray log, compensated neutron log, density log, VSP well logging, make well log interpretation, calmodulin binding domain CaM constructs, divide shale interval sedimentary micro, filter out favourable rammell sedimentary micro and grow interval, determine its areal extent;C () favourable shale interval to filtering out in step (b) implements pre-stack seismic inversion, filter out favourable oily interval further, such interval is carried out shale brittleness evaluation simultaneously;(d) favourable oily interval to being filtered out in step (c), Study of Seismic data further, analyzing the structural main curvature of such interval, Acceleration Algorithm in Seismic Coherence Cube and variance attribute, geological data is irrelevant or discontinuous interval greatly, simultaneously, as favourable fracture development interval to filter out curvature;E the shale brittleness evaluation in () integrating step (c) and the fracture development interval in step (d), filter out brittleness index height interval in stratum in fracture development interval, be defined as high-quality shale reservoir.
Lacking the problem of system approach for the exploration and development means of shale gas in prior art, the present invention proposes shale seismic reservoir recognition methods.This method is first in a certain exploration and development block, carry out seismic prospecting, utilize seismic prospecting, surface geology data, identify the structural configuration of shale formation, the degree of depth, thickness and distribution thereof, it is i.e. on seismic profile, identify and follow the trail of rammell, demarcates top, rammell bottom interface, analyze its seismic wave individual features, determine the degree of depth of rammell, thickness and distribution, it is thus achieved that rammell structural configuration, faults distribution and deposit thickness feature.Afterwards according to seismic profile, choose shale formation and grow complete region, carry out prospect pit construction, this prospect pit is carried out the logging operation of full well section, well logging project includes but not limited to resistivity logging, acoustic travel time logging, nutural potential logging, gamma ray log, compensated neutron log, density log, VSP well logging, and makes well log interpretation.Wherein, VSP well logging i.e. vertical seismic profile log, explosive source is positioned at earth's surface, and in well, seismic wave is received by different depth, the vertical change of geologic section near research well.VSP relatively surface seismic signal to noise ratio, resolution are higher, and kinesiology and the dynamic characteristic of ripple become apparent from.According to above-mentioned all well log interpretations, structural region structure and deposition setting is studied, individual well sedimentary section well log interpretation and seismic attributes analysis, divide shale interval sedimentary micro type and the Changing Pattern of sedimentary micro, determines that favourable rammell sedimentary micro grows interval and areal extent thereof.
Afterwards, the shale interval that the deposition determined is favourable is implemented pre-stack seismic inversion.Pre-stack seismic inversion is the one in formation gas bearing detection means, it is the most commercially valuable that the size of rammell air content determines shale gas exploitation, it is very important so carrying out Gas potential detection, in addition to pre-stack seismic inversion technology, use the STUDIES ON SEISMIC WAVES methods such as poststack wave impedance inversion, prestack elastic impedance inverting, spectrum analysis technique also can complete the detection of gas-bearing property.Wherein, prestack seismic inversion method used in the present invention, it is based on rock physics theory and amplitude variation with Offset is theoretical, by Zuo Yipulizi equation, least square fitting is made in change to reflected amplitude, until theoretical value and the good matching of observation, utilize amplitude with geophone offset variation relation curve, calculate intercept P and two parameters of gradient G, mathematical model is used to be finally inversed by required elastic parameter by the two parameter again, and then carry out lithology, fluid identification, make stratum brittleness evaluation standby.Simultaneously as the rammell of shale gas rich region, its bulk density can reduce, elastic wave velocity can reduce, and therefore has Gas potential detection parameter and significantly affects, therefore, it is possible to judged accurately in the prestack inversion of seismic wave.
Hereafter, to the favourable oily interval using pre-stack seismic inversion to be filtered out, Study of Seismic data further, analyze the structural main curvature of such interval, Acceleration Algorithm in Seismic Coherence Cube and variance attribute, geological data is irrelevant or discontinuous interval greatly, simultaneously, as favourable fracture development interval to filter out curvature.Curvature is reflection a certain curve, the parameter of curved surface degree of crook.The structural main curvature of curved surface is the biggest, the most easily produces crack, and therefore structural main curvature can be in the distribution generally reflecting crack.When curvature increases to stratum elastic limit, will in the bigger generation crack, area of bending, therefore in the both sides of fold axis, some higher curvature positions such as the both sides of tectonic transition position and the plane of disruption, be all the growth region in crack.Acceleration Algorithm in Seismic Coherence Cube and the object of study of variance attribute are similarity and discontinuities between adjacent seismic trace signal in three dimensional seismic data, they can highlight those irrelevant or discontinuous geological datas, identify the density in crack, orientation, intensity etc. in shale gas-bearing formation with this, thus select favourable fracture development interval.During the exploration and development of shale gas, intrinsic fracture it is critical that, it can increase shale gas reservoir space, improve the matrix permeability that shale is extremely low, improve the effect of artificial pressure, therefore, using structural main curvature, Acceleration Algorithm in Seismic Coherence Cube and variance property analysis method in this step, the shale interval selecting fracture development is requisite.
Finally, in conjunction with the shale brittleness evaluation in above-mentioned steps (c) and the fracture development interval in step (d), filter out the interval that in fracture development interval, stratum brittleness index is of a relatively high, be defined as high-quality shale reservoir.Shale reservoir fragility is the biggest, and sand fracturing is the easiest to be pressed off, it is easy to reservoir reconstruction, beneficially production development.Shale fragility earthquake prediction can be obtained the elastic parameter relevant to rock-mechanics property by the prestack inversion in step (c), thus carried out shale brittleness evaluation.
Further, in the prospect pit work progress in described step (b), carry out rammell coring operation, draw the elastic modelling quantity of institute's coring, Poisson's ratio, anti-tensile, shearing resistance, comprcssive strength, make the shale brittleness evaluation described in step (c) with this.I.e. use the actual institute in rammell coring, in the way of experiment, obtain elastic parameter, thus rammell brittleness index is drawn more accurate conclusion.Described coring operation can carry out the bottom hole coring in drilling process with the position, rammell that base area seismic exploration is predicted, it is also possible to is layered according to the geological logging in drilling process, carries out sidewall coring after confirming to bore chance shale.
Further, the interval that in described step (e), stratum brittleness index is high, refer to the interval that brittleness index is more than 40.
The present invention compared with prior art, has such advantages as and beneficial effect:
Shale seismic reservoir recognition methods of the present invention, utilize the structural configuration of seismic prospecting identification shale formation, the degree of depth, thickness and distribution thereof, grow complete region at the shale formation identified and carry out prospect pit construction, prospect pit is carried out logging operation, shale interval sedimentary micro is divided according to well log interpretation, filter out favourable rammell sedimentary micro and grow interval, determine its areal extent;Shale interval favourable to the deposition filtered out implements pre-stack seismic inversion again, filter out favourable oily interval, analyze the structural main curvature of such interval, Acceleration Algorithm in Seismic Coherence Cube and variance attribute, geological data is irrelevant or discontinuous interval greatly, simultaneously to filter out curvature, as favourable fracture development interval, in conjunction with shale brittleness evaluation, determine high-quality shale reservoir, it is achieved the purpose of the shale gas reservoir RESERVOIR RECOGNITION based on seismic technology.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing being further appreciated by the embodiment of the present invention, constitutes the part of the application, is not intended that the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is the schematic process flow diagram of one specific embodiment of the present invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, and the exemplary embodiment of the present invention and explanation thereof are only used for explaining the present invention, not as a limitation of the invention.
Embodiment 1:
Shale seismic reservoir recognition methods as shown in Figure 1, including techniques below step: (a), in a certain exploration and development block, carries out seismic prospecting, utilizes seismic prospecting, surface geology data, identifies the structural configuration of shale formation, the degree of depth, thickness and distribution thereof;B () is grown complete region at the shale formation identified and is carried out prospect pit construction, prospect pit is carried out logging operation, well logging project includes: resistivity logging, acoustic travel time logging, nutural potential logging, gamma ray log, compensated neutron log, density log, VSP well logging, make well log interpretation, calmodulin binding domain CaM constructs, divide shale interval sedimentary micro, filter out favourable rammell sedimentary micro and grow interval, determine its areal extent;C () favourable shale interval to filtering out in step (b) implements pre-stack seismic inversion, filter out favourable oily interval further, such interval is carried out shale brittleness evaluation simultaneously;(d) favourable oily interval to being filtered out in step (c), Study of Seismic data further, analyzing the structural main curvature of such interval, Acceleration Algorithm in Seismic Coherence Cube and variance attribute, geological data is irrelevant or discontinuous interval greatly, simultaneously, as favourable fracture development interval to filter out curvature;E the shale brittleness evaluation in () integrating step (c) and the fracture development interval in step (d), filter out the brittleness index interval more than 40 in stratum in fracture development interval, be defined as high-quality shale reservoir.The purpose of shale gas reservoir RESERVOIR RECOGNITION based on seismic technology is realized with this.
Above-described detailed description of the invention; the purpose of the present invention, technical scheme and beneficial effect are further described; it is it should be understood that; the foregoing is only the detailed description of the invention of the present invention; the protection domain being not intended to limit the present invention; all within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. done, should be included within the scope of the present invention.
Claims (3)
1. shale seismic reservoir recognition methods, it is characterised in that include techniques below step:
A (), in a certain exploration and development block, carries out seismic prospecting, utilize seismic prospecting, surface geology data, identifies the structural configuration of shale formation, the degree of depth, thickness and distribution thereof;
B () is grown complete region at the shale formation identified and is carried out prospect pit construction, prospect pit is carried out logging operation, well logging project includes: resistivity logging, acoustic travel time logging, nutural potential logging, gamma ray log, compensated neutron log, density log, VSP well logging, make well log interpretation, calmodulin binding domain CaM constructs, divide shale interval sedimentary micro, filter out favourable rammell sedimentary micro and grow interval, determine its areal extent;
C () favourable shale interval to filtering out in step (b) implements pre-stack seismic inversion, filter out favourable oily interval further, such interval is carried out shale brittleness evaluation simultaneously;
(d) favourable oily interval to being filtered out in step (c), Study of Seismic data further, analyzing the structural main curvature of such interval, Acceleration Algorithm in Seismic Coherence Cube and variance attribute, geological data is irrelevant or discontinuous interval greatly, simultaneously, as favourable fracture development interval to filter out curvature;
E the shale brittleness evaluation in () integrating step (c) and the fracture development interval in step (d), filter out the interval that in fracture development interval, stratum brittleness index is high, be defined as high-quality shale reservoir.
Shale seismic reservoir recognition methods the most according to claim 1, it is characterized in that: in the prospect pit work progress in described step (b), carry out rammell coring operation, draw the elastic modelling quantity of institute's coring, Poisson's ratio, anti-tensile, shearing resistance, comprcssive strength, make the shale brittleness evaluation described in step (c) with this.
Shale seismic reservoir recognition methods the most according to claim 1, it is characterised in that: the interval that in described step (e), stratum brittleness index is high, refer to the interval that brittleness index is more than 40.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610151758.4A CN105842733A (en) | 2016-03-17 | 2016-03-17 | Shale reservoir earthquake identification method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610151758.4A CN105842733A (en) | 2016-03-17 | 2016-03-17 | Shale reservoir earthquake identification method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105842733A true CN105842733A (en) | 2016-08-10 |
Family
ID=56587059
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610151758.4A Pending CN105842733A (en) | 2016-03-17 | 2016-03-17 | Shale reservoir earthquake identification method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105842733A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110045437A (en) * | 2019-04-10 | 2019-07-23 | 中国地质大学(北京) | The method for reducing earthquake earthquake magnitude |
CN110056345A (en) * | 2018-10-30 | 2019-07-26 | 西安石油大学 | A kind of Logging Evaluation Method suitable for shale gas reservoir |
CN110456416A (en) * | 2019-08-06 | 2019-11-15 | 中国石油集团川庆钻探工程有限公司 | Seismic data micro-amplitude wrinkle identification method |
CN110568150A (en) * | 2019-04-28 | 2019-12-13 | 中国石油天然气股份有限公司 | Oil shale identification method and device |
CN113534253A (en) * | 2020-04-22 | 2021-10-22 | 中国石油天然气集团有限公司 | Shale gas three-dimensional seismic sweet spot optimization method and device |
CN115045646A (en) * | 2022-06-07 | 2022-09-13 | 中国地质调查局油气资源调查中心 | Shale gas well site optimization method |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102967883A (en) * | 2012-11-20 | 2013-03-13 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Method for predicting rock brittleness probability through pre-stack elasticity parameter inversion of shale gas |
CN104502971A (en) * | 2014-12-22 | 2015-04-08 | 中国石油天然气集团公司 | Method for detecting total organic carbon content and brittleness space distribution of shale reservoir |
CN105221141A (en) * | 2014-06-23 | 2016-01-06 | 中国石油化工股份有限公司 | A kind of mud shale brittleness index Forecasting Methodology |
-
2016
- 2016-03-17 CN CN201610151758.4A patent/CN105842733A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102967883A (en) * | 2012-11-20 | 2013-03-13 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Method for predicting rock brittleness probability through pre-stack elasticity parameter inversion of shale gas |
CN105221141A (en) * | 2014-06-23 | 2016-01-06 | 中国石油化工股份有限公司 | A kind of mud shale brittleness index Forecasting Methodology |
CN104502971A (en) * | 2014-12-22 | 2015-04-08 | 中国石油天然气集团公司 | Method for detecting total organic carbon content and brittleness space distribution of shale reservoir |
Non-Patent Citations (1)
Title |
---|
林建东 等: "页岩气地震识别与预测技术", 《中国煤炭地质》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110056345A (en) * | 2018-10-30 | 2019-07-26 | 西安石油大学 | A kind of Logging Evaluation Method suitable for shale gas reservoir |
CN110056345B (en) * | 2018-10-30 | 2020-11-24 | 西安石油大学 | Logging evaluation method suitable for shale gas reservoir |
CN110045437A (en) * | 2019-04-10 | 2019-07-23 | 中国地质大学(北京) | The method for reducing earthquake earthquake magnitude |
CN110568150A (en) * | 2019-04-28 | 2019-12-13 | 中国石油天然气股份有限公司 | Oil shale identification method and device |
CN110568150B (en) * | 2019-04-28 | 2022-03-01 | 中国石油天然气股份有限公司 | Oil shale identification method and device |
CN110456416A (en) * | 2019-08-06 | 2019-11-15 | 中国石油集团川庆钻探工程有限公司 | Seismic data micro-amplitude wrinkle identification method |
CN110456416B (en) * | 2019-08-06 | 2021-05-18 | 中国石油集团川庆钻探工程有限公司 | Seismic data micro-amplitude wrinkle identification method |
CN113534253A (en) * | 2020-04-22 | 2021-10-22 | 中国石油天然气集团有限公司 | Shale gas three-dimensional seismic sweet spot optimization method and device |
CN113534253B (en) * | 2020-04-22 | 2024-05-28 | 中国石油天然气集团有限公司 | Shale gas three-dimensional seismic dessert area optimization method and device |
CN115045646A (en) * | 2022-06-07 | 2022-09-13 | 中国地质调查局油气资源调查中心 | Shale gas well site optimization method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109061765B (en) | Trap evaluation method for heterogeneous thin sandstone interbed reservoir | |
Grammer et al. | Integration of outcrop and modern analogs in reservoir modeling: Overview with examples from the Bahamas | |
Zeng et al. | Three-dimensional seismic geomorphology and analysis of the Ordovician paleokarst drainage system in the central Tabei Uplift, northern Tarim Basin, western China | |
Zhao et al. | Geological features and evaluation techniques of deep-seated volcanics gas reservoirs, Songliao Basin | |
CN105842733A (en) | Shale reservoir earthquake identification method | |
CN113050157B (en) | Carbonate rock seismic reservoir inversion method and system based on outcrop data | |
CN114910964B (en) | Prediction method for gravel rock mass dessert area on steep slope of fractured lake basin | |
CN112505754B (en) | Method for collaborative partitioning sedimentary microfacies by well-seismic based on high-precision sequence grid model | |
Hickman | Parasequence-scale stratigraphic variability of lithology and porosity of Mississippian Meramec reservoirs and the relationships to production characteristics, STACK trend, Oklahoma | |
Khan et al. | Three-dimensional structural modeling (3D SM) and joint geophysical characterization (JGC) of hydrocarbon reservoir: a case study of the Kadanwari field in Middle Indus Basin (MIB), Southeastern Pakistan | |
Zhang et al. | Architecture characteristics and characterization methods of fault-controlled karst reservoirs: A case study of the Shunbei 5 fault zone in the Tarim Basin, China | |
Lindzey et al. | Lithological and petrophysical controls on production of the Mississippian limestone, northeastern Woods County, Oklahoma | |
Paris et al. | Predicting reservoir quality in the Bakken Formation, North Dakota, using petrophysics and 3C seismic data | |
Derafshi et al. | Investigation and prediction of pore type system by integrating velocity deviation log, petrographic data and mercury injection capillary pressure curves in the Fahliyan Formation, the Persian Gulf Basin | |
Nguyen et al. | Application of seismic attribute analysis in Lower Miocene reservoir characterization, northeast Bach Ho field, Vietnam | |
Ehinola et al. | Seismic attributes mapping and 3D static modeling of reservoirs within “OYA” field, offshore Depobelt, Niger delta sedimentary basin, Nigeria | |
CN107765329A (en) | Shale reservoir seismic identification | |
Rolfs | Integrated geomechanical, geophysical, and geochemical analysis of the Bakken Formation, Elm Coulee field, Williston Basin, Montana | |
Clemons et al. | Seismic attributes: Exploiting seismic data to understand heterogeneous reservoir performance in the Eagle Ford Shale, south Texas, USA | |
Tucker et al. | Geologic investigation of cross-well seismic response in a carbonate reservoir, McElroy field, west Texas | |
Gargouri | Multicomponent 3D seismic interpretation of the Marcellus shale Bradford county, Pennsylvania | |
Fahim et al. | Hydrocarbon Prospectivity of Surma Group in Sylhet Area in Context of Sequence Stratigraphy | |
Rahman et al. | Shallow Gas Prospect Evaluation in Shahbazpur Structure Using Seismic Attributes Analysis-a Case Study for Bhola Island, Southern Bangladesh | |
Shi | Forming conditions, types and characteristics of lithological reservoirs in Melut Basin: Implications for hydrocarbon exploration in mature rift basins of Africa | |
CN107765304A (en) | Shale reservoir seismic identification |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160810 |