Pressure-Transient Behaviors of Wells in Fractured Reservoirs With Natural- and Hydraulic-Fracture Networks
- Zhiming Chen (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, and University of Texas at Austin) | Xinwei Liao (China University of Petroleum, Beijing) | Wei Yu (Texas A&M University and University of Texas at Austin) | Kamy Sepehrnoori (University of Texas at Austin)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- February 2019
- Document Type
- Journal Paper
- 375 - 394
- 2019.Society of Petroleum Engineers
- Transient behaviors, Well Testing, Natural/hydraulic fractures, Fractured reservoirs, Complex fracture networks
- 27 in the last 30 days
- 295 since 2007
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Fracture networks are extremely important for the management of groundwater, carbon sequestration, and petroleum resources in fractured reservoirs. Numerous efforts have been made to investigate transient behaviors with fracture networks. Unfortunately, because of the complexity and the arbitrary nature of fracture networks, it is still a challenge to study transient behaviors in a computationally efficient manner. In this work, we present a mesh-free approach to investigate transient behaviors in fractured media with complex fracture networks. Contributions of properties and geometries of fracture networks to the transient behaviors were systematically analyzed. The major findings are noted: There are approximately eight transient behaviors in fractured porous media with complex fracture networks. Each behavior has its own special features, which can be used to estimate the fluid front and quantify fracture properties. Geometries of fracture networks have important impacts on the occurrence and the duration of some transient behaviors, which provide a tool to identify the fracture geometries. The fluid production in the fractured porous media is improved with high-conductivity (denser, larger) and high-complexity fracture networks.
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Agarwal, R. G., Al-Hussainy, R., and Ramey, H. J. 1970. An Investigation of Wellbore Storage and Skin Effect in Unsteady Liquid Flow: I. Analytical Treatment. SPE J. 10 (3): 279–290. SPE-2466-PA. https://doi.org/10.2118/2466-PA.
AppFDA. 2008. http://www.fracturedreservoirs.com/AppFDA.asp.
Barenblatt, G. I., Zheltov, I. P., and Kochina, I. N. 1960. Basic Concepts in the Theory of Seepage of Homogeneous Liquids in Fissured Rocks. Journal of Applied Mathematics and Mechanics 24 (5): 1286–1303. https://doi.org/10.1016/0021-8928(60)90107-6.
Belayneh, M., Geiger, S., and Matthi, S. K. 2006. Numerical Simulation of Water Injection Into Layered Fractured Carbonate Reservoir Analogs. AAPG Bulletin 90 (10): 1473–1493. https://doi.org/10.1306/05090605153.
Bourdet, D., Whittle, T. M., Douglas, A. A. et al. 1983. A New Set of Type Curves Simplifies Well Test Analysis. World Oil 196 (6): 95–106.
Bruel, T., Petit, J. P., Massonnat, G. et al. 1999. Relation entre écoulements et fractures ouvertes dans un système aquifère compartimenté par des failles et mise en évidence d’une double porosité de fractures (Relationship Between Hydrodynamics and Open Fractures in a Fractured System Compartmentalised by Faults and Confirmation of a Double Fracture Porosity). Bull Soc Géol Fr 170 (3): 401–412. https://pubs.geoscienceworld.org/bsgf/article-lookup/170/3/401.
Chen, Z., Liao, X., Zhao, X. et al. 2015. Performance of Horizontal Wells With Fracture Networks in Shale Gas Formation. Journal of Petroleum Science and Engineering 133: 646–664. https://doi.org/10.2118/10.1016/j.petrol.2015.07.004.
Chen, Z., Liao, X., and Zhao, X. 2016a. A Semianalytical Approach for Obtaining Type Curves of Multiple-Fractured Horizontal Wells With Secondary-Fracture Networks. SPE J. 21 (2): 538–549. SPE-178913-PA. https://doi.org/10.2118/178913-PA.
Chen, Z., Liao, X., Zhao, X. et al. 2016b. Influence of Magnitude and Permeability of Fracture Networks on Behaviors of Vertical Shale Gas Wells by a Free-Simulator Approach. Journal of Petroleum Science and Engineering 147: 261–272. https://doi.org/10.1016/j.petrol.2016.06.006.
Chen, Z., Liao, X., Sepehrnoori, K. et al. 2018. A Semianalytical Model for Pressure-Transient Analysis of Fractured Wells in Unconventional Plays With Arbitrarily Distributed Fracture Networks. SPE J. 23 (6): 2041–2059. SPE-187290-PA. https://doi.org/10.2118/187290-PA.
Cinco-Ley, H. and Samaniego-V, F. 1981. Transient Pressure Analysis for Fractured Wells. J Pet Technol 33 (9): 1749–1766. SPE-7490-PA. https://doi.org/10.2118/7490-PA.
Cipolla, C. L., Lolon, E. P., and Mayerhofer, M. J. 2009. Reservoir Modeling and Production Evaluation in Shale-Gas Reservoirs. Presented at the International Petroleum Technology Conference, Doha, Qatar, 7–9 December. IPTC-13185-MS. https://doi.org/10.2523/IPTC-13185-MS.
Cipolla, C. L., Lolon, E. P., Erdle, J. C. et al. 2010. Reservoir Modeling in Shale-Gas Reservoirs. SPE Res Eval & Eng 13 (4): 638–653. SPE-125530-PA. https://doi.org/10.2118/125530-PA.
Cipolla, C. L., Fitzpatrick, T., Williams, M. J. et al. 2011. Seismic-to-Simulation for Unconventional Reservoir Development. Presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, Abu Dhabi, 9–11 October. SPE-146876-MS. https://doi.org/10.2118/146876-MS.
de Swaan O. A. 1976. Analytic Solutions for Determining Naturally Fractured Reservoir Properties by Well Testing. SPE J. 16 (3): 117–122. SPE-5346-PA. https://doi.org/10.2118/5346-PA.
Fisher, M. K., Wright, C. A., Davidson, B. M. et al. 2005. Integrating Fracture-Mapping Technologies to Improve Stimulations in the Barnett Shale. SPE Prod & Fac 20 (2): 85–93. SPE-77441-PA. https://doi.org/10.2118/77441-PA.
Fisher, M. K., Heinze, J. R., Harris, C. D. et al. 2004. Optimizing Horizontal Completion Techniques in the Barnett Shale Using Microseismic Fracture Mapping. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 26–29 September. SPE-90051-MS. https://doi.org/10.2118/90051-MS.
Gringarten, A. C. and Ramey Jr., H. J. 1973. The Use of Source and Green’s Functions in Solving Unsteady-Flow Problems in Reservoirs. SPE J. 13 (5): 285–296. SPE-3818-PA. https://doi.org/10.2118/3818-PA.
Hu, X., Wu, K., Li, G. et al. 2018. Effect of Proppant Addition Schedule on the Proppant Distribution in a Straight Fracture for Slickwater Treatment. Journal of Petroleum Science and Engineering 167 (August): 110–119. https://doi.org/10.1016/j.petrol.2018.03.081.
Hurst, W. 1953. Establishment of the Skin Effect and Its Impediment to Fluid Flow Into a Well Bore. Petroleum Engineers 25: B6–B16.
Jia, P., Cheng, L., Huang, S. et al. 2016. A Semi-Analytical Model for the Flow Behavior of Naturally Fractured Formations With Multi-Scale Fracture Networks. Journal of Hydrology 537: 208–220. https://doi.org/10.1016/j.jhydrol.2016.03.022.
Jourde, H., Cornaton, F., Pistre, S. et al. 2002. Flow Behavior in a Dual Fracture Network. Journal of Hydrology 266 (1): 99–119. https://doi.org/10.1016/S0022-1694(02)00120-8.
Karimi-Fard, M., Durlofsky, L. J., and Aziz, K. 2003. An Efficient Discrete Fracture Model Applicable for General-Purpose Reservoir Simulators. Presented at the SPE Reservoir Simulation Symposium, Houston, 3–5 February. SPE-79699-MS. https://doi.org/10.2118/79699-MS.
Kazemi, H., Seth, M. S., and Thomas, G. W. 1969. The Interpretation of Interference Tests in Naturally Fractured Reservoirs With Uniform Fracture Distribution. SPE J. 9 (4): 463–472. SPE-2156-B. https://doi.org/10.2118/2156-B.
King, P. R. 1989. The Use of Renormalization for Calculating Effective Permeability. Transport in Porous Media 4 (1): 37–58. https://doi.org/10.1007/BF00134741.
Kuchuk, F. and Kirwan, P. 1987. New Skin and Wellbore Storage Type Curves for Partially Penetrated Wells. SPE Form Eval 2 (4): 546–554. SPE-11676-PA. https://doi.org/10.2118/11676-PA.
Kuchuk, F., Onur, M., and Hollaender, F. 2010. Pressure Transient Formation and Well Testing: Convolution, Deconvolution, and Nonlinear Estimation. New York: Elsevier.
Kuchuk, F. and Biryukov, D. 2014. Pressure-Transient Behavior of Continuously and Discretely Fractured Reservoirs. SPE Res Eval & Eng 17 (1): 82–97. SPE-158096-PA. https://doi.org/10.2118/158096-PA.
Kuchuk, F. and Biryukov, D. 2015. Pressure-Transient Tests and Flow Regimes in Fractured Reservoirs. SPE Res Eval & Eng 18 (2): 187–204. SPE-166296-PA. https://doi.org/10.2118/166296-PA.
Luo, W., Tang, C., and Wang, X. 2014. Pressure Transient Analysis of a Horizontal Well Intercepted by Multiple Non-Planar Vertical Fractures. Journal of Petroleum and Science Engineering 124: 232–242. https://doi.org/10.1016/j.petrol.2014.10.002.
Mayerhofer, M. J., Lolon, E. P., Youngblood, J. E. et al. 2006. Integration of Microseismic-Fracture-Mapping Results With Numerical Fracture Network Production Modeling in the Barnett Shale. Presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 24–27 September. SPE-102103-MS. https://doi.org/10.2118/102103-MS.
Mayerhofer, M. J., Lolon, E., Warpinski, N. R. et al. 2008. What Is Stimulated Rock Volume? Presented at the SPE Shale Gas Production Conference, Fort Worth, Texas, 16–18 November. SPE-119890-MS. https://doi.org/10.2118/119890-MS.
Mirzael, M. and Cipolla, C. L. 2012. A Workflow for Modeling and Simulation of Hydraulic Fractures in Unconventional Gas Reservoirs. Presented at the SPE Middle East Unconventional Gas Conference and Exhibition, Abu Dhabi, 23–25 January. SPE-153022-MS. https://doi.org/10.2118/153022-MS.
Najurieta, H. L. 1980. A Theory for Pressure Transient Analysis in Naturally Fractured Reservoirs. J Pet Technol 32 (7): 1241–1250. SPE-6017-PA. https://doi.org/10.2118/6017-PA.
Ozkan, E. and Raghavan, R. 1991. New Solutions for Well-Test-Analysis Problems: Part 1—Analytical Considerations. SPE Form Eval 6 (3) 359–368. SPE-18615-PA. https://doi.org/10.2118/18615-PA.
Ozkan, E., Brown, M., Raghavan, R. et al. 2011. Comparison of Fractured-Horizontal-Well Performance in Tight Sand and Shale Reservoirs. SPE Res Eval & Eng 14 (2): 248–259. SPE-121290-PA. https://doi.org/10.2118/121290-PA.
Pruess, K. 1985. A Practical Method for Modeling Fluid and Heat Flow in Fractured Porous Media. SPE J. 25 (1): 14–26. SPE-10509-PA. https://doi.org/10.2118/10509-PA.
Ramey, H. J. Jr. 1976. Practical Use of Modern Well Test Analysis. Presented at the SPE California Regional Meeting, Long Beach, California, 8–9 April. SPE-5878-MS. https://doi.org/10.2118/5878-MS.
Schlumberger, G. 2002. Eclipse 300 technical description. Houston, Texas.
Serra, K., Reynolds, A. C., and Raghavan, R. 1983. New Pressure Transient Analysis Methods for Naturally Fractured Reservoirs (includes associated papers 12940 and 13014). J Pet Technol 35 (12): 2271–2283. SPE-10780-PA. https://doi.org/10.2118/10780-PA.
Stehfest, H. 1970. Algorithm 368: Numerical Inversion of Laplace Transforms [D5]. Communications of the ACM 13 (1): 47–49. https://doi.org/10.1145/361953.361969.
Tiab, D. 1993. Analysis of Pressure and Pressure Derivative Without Type-Curve Matching—III. Vertically Fractured Wells in Closed Systems. Presented at the SPE Western Regional Meeting, Anchorage, 26–28 May. SPE-26138-MS. https://doi.org/10.2118/26138-MS.
Van Everdingen, A. F. and Hurst, W. 1949. The Application of Laplace Transformation to Flow Problems in Reservoirs. J Pet Technol 1 (12): 305–324. SPE-949305-G. https://doi.org/10.2118/949305-G.
Van Everdingen, A. 1953. The Skin Effect and Its Influence on the Productive Capacity of a Well. J Pet Technol 5 (6): 171–176. SPE-203-G. https://doi.org/10.2118/203-G.
Wang, J., Jia, A., Wei, Y. et al. 2017. Approximate Semi-Analytical Modeling of Transient Behavior of Horizontal Well Intercepted by Multiple Pressure-Dependent Conductivity Fractures in Pressure-Sensitive Reservoir. Journal of Petroleum Science and Engineering 153: 157–177. https://doi.org/10.1016/j.petrol.2017.03.032.
Warpinski, N. R., Mayerhofer, M. J., Vincent, M. C. et al. 2009. Stimulating Unconventional Reservoirs: Maximizing Network Growth While Optimizing Fracture Conductivity. J Can Pet Technol 48 (10): 39–51. SPE-114173-PA. https://doi.org/10.2118/114173-PA.
Warren, J. E. and Root, P. J. 1963. The Behavior of Naturally Fractured Reservoirs. SPE J. 3 (3): 245–255. SPE-426-PA. https://doi.org/10.2118/426-PA.
Xu, Y. 2015. Implementation and Application of the Embedded Discrete Fracture Model (EDFM) for Reservoir Simulation in Fractured Reservoirs. MS thesis, University of Texas at Austin, Austin, Texas (December 2015).
Yang, R., Huang, Z., Yu, W. et al. 2016a. A Comprehensive Model for Real Gas Transport in Shale Formations With Complex Non-Planar Fracture Networks. Scientific Reports 6: Article number 36673. https://doi.org/10.1038/srep36673.
Yang, R., Huang, Z., Li, G. et al. 2016b. An Innovative Approach to Model Two-Phase Flowback of Shale Gas Wells With Complex Fracture Networks. Presented at the SPE Annual Technical Conference and Exhibition, Dubai, 26–28 September. SPE-181766-MS. https://doi.org/10.2118/181766-MS.
Yu, W., Huang, S., Wu, K. et al. 2014. Development of a Semi-Analytical Model for Simulation of Gas Production in Shale Gas Reservoirs. Presented at the Unconventional Resources Technology Conference, Denver, 25–27 August. URTEC-1922945-MS. https://doi.org/10.15530/URTEC-2014-1922945.
Yu, W., Wu, K., and Sepehrnoori, K. 2015. A Semianalytical Model for Production Simulation From Nonplanar Hydraulic-Fracture Geometry in Tight Oil Reservoirs. SPE J. 21 (3): 1028–1040. SPE-178440-PA. https://doi.org/10.2118/178440-PA.
Yu, W. and Wu, K. 2015. An Integrated Approach to Optimize Production in Marcellus Shale Gas Reservoirs. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 28–30 September. SPE-175109-MS. https://doi.org/10.2118/175109-MS.
Zhou, W., Banerjee, R., Poe, B. D. et al. 2014. Semianalytical Production Simulation of Complex Hydraulic-Fracture Networks. SPE J. 19 (1): 6–18. SPE-157367-PA. https://doi.org/10.2118/157367-PA.