基于嵌入离散裂缝的页岩气藏视渗透率模型

冯其红; 徐世乾; 王森; 杨毅; 高方方; 徐亚娟

doi:10.3799/dqkx.2017.551

Volume 42 Issue 8

Aug. 2017

Turn off MathJax

Article Contents

Article Navigation > Earth Science > 2017 > 42(8): 1301-1313

Feng Qihong, Xu Shiqian, Wang Sen, Yang Yi, Gao Fangfang, Xu Yajuan, 2017. A Stochastic Permeability Model for Shale Gas Reservoirs Based on Embedded Discrete Fracture Model. Earth Science, 42(8): 1301-1313. doi: 10.3799/dqkx.2017.551

Citation:

Feng Qihong, Xu Shiqian, Wang Sen, Yang Yi, Gao Fangfang, Xu Yajuan, 2017. A Stochastic Permeability Model for Shale Gas Reservoirs Based on Embedded Discrete Fracture Model. Earth Science, 42(8): 1301-1313. doi: 10.3799/dqkx.2017.551

Citation:

PDF( 2869 KB)

A Stochastic Permeability Model for Shale Gas Reservoirs Based on Embedded Discrete Fracture Model

doi: 10.3799/dqkx.2017.551

1.
School of Petroleum Engineering, China University of Petroleum, Qingdao 266580, China
2.
Engineering Technology Research Institute of Southwest Oil and Gas Field Company, CNPC, Chengdu 610017, China
3.
Henan Aero Geophysical Survey and Remote Sensing Center, Zhengzhou 450000, China
4.
No.1 Institute of Geo-Environment Survey of Henan, Zhengzhou 450000, China

Received Date: 2017-02-28
Publish Date: 2017-08-15

Abstract

Abstract

Shale reservoirs have different types of pore spaces, however, relevant studies on measuring the apparent permeability (AP) of shale gas reservoirs with considering different pore space have not been reported. A stochastic permeability model is proposed based on the embedded discrete fracture model (EDFM) in this study, which includes four steps. (1) The spatial distribution model of natural fracture, organic matter and inorganic matter is established. (2) Different permeability calculation methods are selected for different types of pore space. (3) The numerical simulation model is established on the basis of EDFM, using the spatial distribution model and different permeability calculation methods. (4) The gas flow rate is obtained by numerical simulation method after giving different pressures at the inlet and outlet of the model. Then the AP of this shale gas reservoir can be measured through the Darcy's law. The results of the model are in good agreement with the experimental results reported in literature. The effect of different pore space types, distribution and some other characteristics were analyzed. Results show that the contribution of natural fractures to AP is greater than that of matrix pores. Therefore it is crucial to take the effect of different pore space types into account in the process of calculating shale gas AP.
- shale gas,
- pore size distribution,
- embedded discrete fracture,
- apparent permeability,
- natural fracture

FullText(HTML)

References(43)

References

Agrawal, A., Prabhu, S.V., 2008.Survey on Measurement of Tangential Momentum Accommodation Coefficient.Journal of Vacuum Science & Technology A:Vacuum, Surfaces, and Films, 26(4):634-645.doi: 10.1116/1.2943641

Akkutlu, I.Y., Fathi, E., 2012.Multiscale Gas Transport in Shales with Local Kerogen Heterogeneities.SPE Journal, 17(4):1002-1011.doi: 10.2118/146422-pa

Cai, J.C., Sun, S.Y., 2013.Fractal Analysis of Fracture Increasing Spontaneous Imbibition in Porous Media with Gas-Saturated.International Journal of Modern Physics C, 24(8):1350056.doi:org/ 10.1142/S0129183113500563.

Cai, J.C., Wei, W., Hu, X.Y., et al., 2017.Fractal Characterization of Dynamic Fracture Network Extension in Porous Media.Fractals, 25(2):1750023.doi:10.1142/S0218348X17500232" target="_blank">http:org/ 10.1142/S0218348X17500232

Civan, F., 2010.Effective Correlation of Apparent Gas Permeability in Tight Porous Media.Transport in Porous Media, 82(2):375-384.doi: 10.1007/s11242-009-9432-z

Darabi, H., Ettehad, A., Javadpour, F., et al., 2012.Gas Flow in Ultra-Tight Shale Strata.Journal of Fluid Mechanics, 710:641-658.doi: 10.1017/jfm.2012.424

Gale, J.F.W., Laubach, S.E., Olson, J.E., et al., 2014.Natural Fractures in Shale:A Review and New Observations.AAPG Bulletin, 98(11):2165-2216.doi: 10.1306/08121413151

Grad, H., 1949.On the Kinetic Theory of Rarefied Gases.Communications on Pure and Applied Mathematics, 2(4):331-407.doi: 10.1002/cpa.3160020403

Javadpour, F., 2009.Nanopores and Apparent Permeability of Gas Flow in Mudrocks (Shales and Siltstone).Journal of Canadian Petroleum Technology, 48(8):16-21.doi: 10.2118/09-08-16-da

Javadpour, F., McClure, M., Naraghi, M.E., 2015.Slip-Corrected Liquid Permeability and Its Effect on Hydraulic Fracturing and Fluid Loss in Shale.Fuel, 160:549-559.doi: 10.1016/j.fuel.2015.08.017

Jendele, L., Kutilek, M., 2005.Parameters Fitting of Soil Hydraulic Functions:Lognormal Pore Size Distribution in Bi-Modal Soils.Geophysical Research Abstracts, 7:02002.

Kang, Y.S., Deng, Z., Wang, H.Y., et al., 2016.Fluid-Solid Coupling Physical Experiments and Their Implications for Fracturing Stimulations of Shale Gas Reservoirs.Earth Science, 41(8):1376-1383 (in Chinese with English abstract). http://www.en.cnki.com.cn/Article_en/CJFDTotal-DQKX201608009.htm

Kazemi, M., Takbiri-Borujeni, A., 2015.An Analytical Model for Shale Gas Permeability.International Journal of Coal Geology, 146:188-197.doi: 10.1016/j.coal.2015.05.010

Kuila, U., Prasad, M., 2013.Specific Surface Area and Pore-Size Distribution in Clays and Shales.Geophysical Prospecting, 61(2):341-362.doi: 10.1111/1365-2478.12028

Kutílek, M., Jendele, L., Panayiotopoulos, K.P., 2006.The Influence of Uniaxial Compression upon Pore Size Distribution in Bi-Modal Soils.Soil and Tillage Research, 86(1):27-37.doi: 10.1016/j.still.2005.02.001

Li, L.Y., Lee, S.H., 2008.Efficient Field-Scale Simulation of Black Oil in a Naturally Fractured Reservoir through Discrete Fracture Networks and Homogenized Media.SPE Reservoir Evaluation & Engineering, 11(4):750-758.doi: 10.2118/103901-pa

Li, S.F., Wang, S.L., Bi, J.X., 2016.Characteristics of Xujiahe Formation Source Rock and Process of Hydrocarbon-Generation Evolution in Puguang Area.Earth Science, 41(5):843-852 (in Chinese with English abstract). http://www.en.cnki.com.cn/Article_en/CJFDTotal-DQKX201605010.htm

Loucks, R.G., Reed, R.M., Ruppel, S.C., et al., 2012.Spectrum of Pore Types and Networks in Mudrocks and a Descriptive Classification for Matrix-Related Mudrock Pores.AAPG Bulletin, 96(6):1071-1098.doi: 10.1306/08171111061

Loucks, R.G., Reed, R.M., Ruppel, S.C., Hammes, U., 2010.Preliminary Classification of Matrix Pores in Mudrocks.Gulf Coast Association of Geological Societies Transactions, 60:435-441.

McCain Jr, W.D., 1991.Reservoir-Fluid Property Correlations—State of the Art.SPE Reservoir Engineering, 6(2):266-272.doi:org/ 10.2118/18571-PA

Naraghi, M.E., Javadpour, F., 2015.A Stochastic Permeability Model for the Shale-Gas Systems.International Journal of Coal Geology, 140:111-124.doi: 10.1016/j.coal.2015.02.004

Shakiba, M., Sepehrnoori, K., 2015.Using Embedded Discrete Fracture Model (EDFM) and Microseismic Monitoring Data to Characterize the Complex Hydraulic Fracture Networks.SPE Annual Technical Conference and Exhibition, Dubai.

Singh, H., Javadpour, F., Ettehadtavakkol, A., et al., 2014.Nonempirical Apparent Permeability of Shale.SPE Reservoir Evaluation & Engineering, 17(3):414-424.doi: 10.2118/170243-pa

Sun, J.L., Gamboa, E.S., Schechter, D., et al., 2016.An Integrated Workflow for Characterization and Simulation of Complex Fracture Networks Utilizing Microseismic and Horizontal Core Data.Journal of Natural Gas Science and Engineering, 34:1347-1360.doi: 10.1016/j.jngse.2016.08.024

Vafaie, A., Habibnia, B., Moallemi, S.A., 2015.Experimental Investigation of the Pore Structure Characteristics of the Garau Gas Shale Formation in the Lurestan Basin, Iran.Journal of Natural Gas Science and Engineering, 27:432-442.doi: 10.1016/j.jngse.2015.06.029

Wang, S., Feng, Q.H., Javadpour, F., et al., 2016a.Breakdown of Fast Mass Transport of Methane through Calcite Nanopores.The Journal of Physical Chemistry C, 120(26):14260-14269.doi: 10.1021/acs.jpcc.6b05511

Wang, S., Javadpour, F., Feng, Q.H., 2016b.Confinement Correction to Mercury Intrusion Capillary Pressure of Shale Nanopores.Scientific Reports, 6:20160.doi: 10.1038/srep20160

Wang, S., Javadpour, F., Feng, Q.H., 2016c.Fast Mass Transport of Oil and Supercritical Carbon Dioxide through Organic Nanopores in Shale.Fuel, 181:741-758.doi: 10.1016/j.fuel.2016.05.057

Wu, S.T., Zou, C.N., Zhu, R.K.et al., 2015.Reservoir Quality Characterization of Upper Triassic Chang 7 Shale in Ordos Basin.Earth Science, 40(11):1810-1823 (in Chinese with English abstract). http://www.en.cnki.com.cn/Article_en/CJFDTotal-DQKX201511004.htm

Xu, Y.F., 2015.Implementation and Application of the Embedded Discrete Fracture Model (EDFM) for Reservoir Simulation in Fractured Reservoirs (Dissertation).University of Texas at Austin, Austin.

Xu, Y.F., CavalcanteFilho, J.S.A., Yu, W., et al.2016.Discrete-Fracture Modeling of Complex Hydraulic-Fracture Geometries in Reservoir Simulators.SPE Reservoir Evaluation & Engineering, 20(2):SPE-183647-PA.doi: org/10.2118/183647-PA

Yang, F., Ning, Z.F., Hu, C.P., et al., 2013a.Characterization of Microscopic Pore Structures in Shale Reservoirs.ActaPetroleiSinica, 34(2):301-311 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-SYXB201302013.htm

Yang, F., Ning, Z.F., Kong, D.T., et al., 2013b.Pore Structure of Shale from High Pressure Mercury Injection and Nitrogen Adsorption Method.Natural Gas Geoscience, 24(3):450-455 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-TDKX201303002.htm

Yang, Y.F., Wang C.C., Yao, J., et al., 2016.A New Method for Microscopic Pore Structure Analysis in Shale Matrix.Earth Science, 41(6):1067-1073 (in Chinese with English abstract).

Zhang, L.H., Li, J.Y., Li, Z., et al., 2105.Development Characteristics and Formation Mechanism of Intra-Organic Reservoir Space in Lacustrine Shales.Earth Science, 40(11):1824-1833 (in Chinese with English abstract). http://europepmc.org/articles/PMC5024126/

Zuloaga-Molero, P., Yu, W., Xu, Y., et al., 2016.Simulation Study of CO₂-EOR in Tight Oil Reservoirs with Complex Fracture Geometries.Scientific Reports, 6:33445.doi: 10.1038/srep33445

康永尚, 邓泽, 王红岩, 等, 2016.流-固耦合物理模拟实验及其对页岩压裂改造的启示.地球科学, 41(8): 1376-1383. http://earth-science.net/WebPage/Article.aspx?id=3344

李松峰, 王生朗, 毕建霞, 等, 2016.普光地区须家河组烃源岩特征及成烃演化过程.地球科学, 41(5): 843-852. http://earth-science.net/WebPage/Article.aspx?id=3306

吴松涛, 邹才能, 朱如凯, 等, 2015.鄂尔多斯盆地上三叠统长7段泥页岩储集性能.地球科学, 40(11): 1810-1823. http://earth-science.net/WebPage/Article.aspx?id=3188

杨峰, 宁正福, 胡昌蓬, 等, 2013a.页岩储层微观孔隙结构特征.石油学报, 34(2): 301-311. http://www.cnki.com.cn/Article/CJFDTOTAL-CDLG201603007.htm

杨峰, 宁正福, 孔德涛, 等, 2013b.高压压汞法和氮气吸附法分析页岩孔隙结构.天然气地球科学, 24(3): 450-455. http://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201303002.htm

杨永飞, 王晨晨, 姚军, 等, 2016.页岩基质微观孔隙结构分析新方法.地球科学, 41(6): 1067-1073. doi: 10.11764/j.issn.1672-1926.2016.06.1067

张林晔, 李钜源, 李政, 等, 2015.湖相页岩有机储集空间发育特点与成因机制.地球科学, 40(11): 1824-1833. http://earth-science.net/WebPage/Article.aspx?id=3189

Relative Articles

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(14) / Tables(4)

Get Citation

PDF

XML

Article views (5396) PDF downloads(28)

A Stochastic Permeability Model for Shale Gas Reservoirs Based on Embedded Discrete Fracture Model

doi: 10.3799/dqkx.2017.551

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Proportional views

Export File

Citation

Format

Content