A Semianalytical Methodology for Pressure-Transient Analysis of Multiwell-Pad-Production Scheme in Shale Gas Reservoirs, Part 1: New Insights Into Flow Regimes and Multiwell Interference
- Cong Xiao (China University of Petroleum, Beijing and Delft University of Technology) | Yu Dai (CNPC) | Leng Tian (China University of Petroleum, Beijing) | Haixiang Lin (Delft University of Technology) | Yayun Zhang (China University of Petroleum, Beijing) | Yaokun Yang (China University of Petroleum, Beijing) | Tengfei Hou (China University of Petroleum, Beijing) | Ya Deng (CNPC)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- June 2018
- Document Type
- Journal Paper
- 885 - 905
- 2018.Society of Petroleum Engineers
- shale gas reservoir, sensitivity analysis, pressure-transient model, multi-well-pad-production scheme, multi-well pressure interference
- 20 in the last 30 days
- 279 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 10.00|
|SPE Non-Member Price:||USD 30.00|
Recently, a multiwell-pad-production (MWPP) scheme has been the center of attention as a promising technology to improve shale-gas (SG) recovery. However, the increasing possibility of multiwell pressure interference (MWPI) in the MWPP scheme severely distorts flow regimes, which strongly challenges the traditional pressure-transient analysis methods that focus on single multifractured horizontal wells (SMFHWs) without MWPI. Therefore, a methodology to identify pressure-transient response of the MWPP scheme with and without MWPI is urgent. To fill this gap, a new semianalytical pressure-transient model of the MWPP scheme is established by use of superposition theory, Gauss elimination, and the Stehfest numerical algorithm. Type curves are generated, and flow regimes are identified by considering MWPI. Finally, a sensitivity analysis is conducted.
Our results show that there are good agreements between our proposed model and numerical simulation; moreover, our semianalytical approach also demonstrates a promising calculation speed compared with numerical simulation. Some expected flow regimes are significantly distorted by MWPI. In addition, well rate determines the distortion of pressure curves, whereas fracture length, well spacing, and fracture spacing determine when the MWPI occurs. The smaller the gas rate, the more severely flow regimes are distorted. As the well spacing increases, fracture length decreases, fracture spacing decreases, and the occurrence of MWPI occurs later. The stress-sensitivity coefficient has little to no influence on the occurrence of MWPI. Similar to the concept of the dual-porosity model, three new flow regimes—the single-well flow regime, MWPI flow regime, and MWPP flow regime—are artificially defined to systematically characterize the flow regimes of the MWPP scheme.
This work offers some additional insights on pressure-transient response for the MWPP scheme in the SG reservoir, which can provide considerable guidance for fracture-properties estimation and well-pattern optimization for the MWPP scheme.
|File Size||1 MB||Number of Pages||21|
Al-Ahmadi, H. A. and Wattenbarger, R. A. 2011. Triple-Porosity Models: One Further Step Toward Capturing Fractured Reservoirs Heterogeneity. Presented at the SPE/DGS Saudi Arabia Section Technical Symposium and Exhibition, Al-Khobar, Saudi Arabia, 15–18 May. SPE-149054-MS. https://doi.org/10.2118/149054-MS.
Awada, A., Santo, M., Lougheed, D. et al. 2015. Is That Interference? A Workflow for Identifying and Analyzing Communication Through Hydraulic Fractures in a Multi-Well Pad. Presented at the Unconventional Resources Technology Conference, San Antonio, Texas, USA, 20–22 July. SPE-178509-MS. https://doi.org/10.2118/178509-MS.
Brown, M., Ozkan, E., Raghavan, R. et al. 2009. Practical Solutions for Pressure-Transient Responses of Fractured Horizontal Wells in Unconventional Shale Reservoirs. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 4–7 October. SPE-125043-MS. https://doi.org/10.2118/125043-MS.
Chen, Z., Liao, X., Zhao, X. et al. 2016. A Semi-Analytical 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.
Cipolla, C. and Wallace, J. 2014. Stimulated Reservoir Volume: A Misapplied Concept? Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, USA, 4–6 February. SPE-168596-MS. https://doi.org/10.2118/168596-MS.
Civan, F., Rai, C. S., and Sondergeld, C. H. 2011. Shale-Gas Permeability and Diffusivity Inferred by Improved Formulation of Relevant Retention and Transport Mechanisms. Transport in Porous Media 86 (3): 925–944. https://doi.org/10.1007/s11242-010-9665-x.
Clarkson, C. R. 2013. Production Data Analysis of Unconventional Gas Wells: Review of Theory and Best Practices. International Journal of Coal Geology 109: 101–146. https://doi.org/10.1016/j.coal.2013.01.002.
Computer Modelling Group (CMG). 2009. Win Prop and GEM Manual. Calgary: CMG.
Fisher, M. K., Wright, C. A., Davidson, B. M. et al. 2002. Integrating Fracture Mapping Technologies to Optimize Stimulations in the Barnett Shale. Presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, 29 September–2 October. SPE-77441-MS. https://doi.org/10.2118/77441-MS.
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.
Guindon, L. 2015. Determining Interwell Connectivity and Reservoir Complexity Through Fracturing Pressure Hits and Production-Interference Analysis. J Can Pet Technol 54 (2): 88–91. SPE-0315-088-JCPT. https://doi.org/10.2118/0315-088-JCPT.
Hutchinson, T. 2014. Multi-Well Facility Optimization. Presented at the Unconventional Resources Technology Conference. URTEC-2014-1922761. https://doi.org/10.15530/URTEC-2014-1922761.
Jia, P., Cheng, L., Huang, S. et al. 2015. A Semi-Analytical Model for Production Simulation of Complex Fracture Network in Unconventional Reservoirs. Presented at the SPE/IA TMI Asia Pacific Oil & Gas Conference and Exhibition, Nusa Dua, Bali, Indonesia, 20–22 October. SPE-176227-MS. https://doi.org/10.2118/176227-MS.
Jones, J. R., Volz, R., and Djasmari, W. 2013. Fracture Complexity Impacts on Pressure Transient Responses From Horizontal Wells Completed With Multiple Hydraulic Fracture Stages. Presented at the SPE Unconventional Resources Conference Canada, Calgary, 5–7 November. SPE-167120-MS. https://doi.org/10.2118/167120-MS.
Karimi-Fard, M., Durlofsky, L. J., and Aziz, K. 2004. An Efficient Discrete-Fracture Model Applicable for General-Purpose Reservoir Simulators. SPE J. 9 (2): 227–236. SPE-88812-PA. https://doi.org/10.2118/88812-PA.
Kaviani, D., Valko, P. P., and Jensen, J. L. 2010. Application of the Multiwell Productivity Index-Based Method to Evaluate Interwell Connectivity. Presented at the 17th SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 24–28 April. SPE-129965-MS. https://doi.org/10.2118/129965-MS.
Klinkenberg, L. J. 1941. The Permeability of Porous Media to Liquids and Gases. American Petroleum Institute (API).
Langmuir, I. 1918. The Adsorption of Gases on Plane Surfaces of Glass, Mica, and Platinum. Journal of the American Chemical Society 40 (9): 1361–1403. https://doi.org/10.1021/ja02242a004.
Lee, S.-T. and Brockenbrough, J. R. 1986. A New Approximate Analytic Solution for Finite-Conductivity Vertical Fractures. SPE Form Eval 1 (1): 75–88. SPE-12013-PA. https://doi.org/10.2118/12013-PA.
Liu, M., Xiao, C., Wang, Y. et al. 2015. Sensitivity Analysis of Geometry for Multistage Fractured Horizontal Wells With Consideration of Finite-Conductivity Fractures in Shale Gas Reservoirs. Journal of Natural Gas Science and Engineering 22: 182–195. https://doi.org/10.1016/j.jngse.2014.11.027.
Luo, W. and Tang, C. 2015. Pressure-Transient Analysis of Multiwing Fractures Connected to a Vertical Wellbore. SPE J. 20 (2): 360–367. SPE-171556-PA. https://doi.org/10.2118/171556-PA.
Mirzaei, 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.
Ozkan, E. and Raghavan, R. 1991. New Solutions for Well-Test-Analysis Problems: Part 1—Analytical Considerations (includes associated papers 28666 and 29213). SPE Form Eval 6 (3): 359–368. SPE-18615-PA. https://doi.org/10.2118/18615-PA.
Ozkan, E., Brown, M. L., 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://oi.org/10.2118/121290-PA.
Pedrosa, O. A. 1986. Pressure-Transient Response in Stress-Sensitive Formations. Presented at the SPE California Regional Meeting, Oakland, California, USA, 2–4 April. SPE-15115-MS. https://doi.org/10.2118/15115-MS.
Roy, S., Raju, R., Chuang, H. F. et al. 2003. Modeling Gas Flow Through Microchannels and Nanopores. Journal of Applied Physics 93 (8): 4870–4879. https://doi.org/10.1063/1.1559936.
Sardinha, C. M., Petr, C., Lehmann, J. et al. 2014. Determining Interwell Connectivity and Reservoir Complexity Through Frac Pressure Hits and Production Interference Analysis. Presented at the SPE/C SUR Unconventional Resources Conference—Canada, Calgary, 30 September–2 October. SPE-171628-MS. https://doi.org/10.2118/171628-MS.
Shi, J., Zhang, L., Li, Y. et al. 2013. Diffusion and Flow Mechanisms of Shale Gas Through Matrix Pores and Gas Production Forecasting. Presented at the SPE Unconventional Resources Conference Canada, Calgary, 5–7 November. SPE-167226-MS. https://doi.org/10.2118/167226-MS.
Soroush, M., Jensen, J., and Kaviani, D. 2013. Interwell Connectivity Evaluation in Cases of Frequent Production Interruptions. Presented at the SPE Heavy Oil Conference—Canada, Calgary, 11–13 June. SPE-165567-MS. https://doi.org/10.2118/165567-MS.
Stalgorova, E. and Mattar, L. 2012. Practical Analytical Model to Simulate Production of Horizontal Wells With Branch Fractures. Presented at the SPE Canadian Unconventional Resources Conference, Calgary, 30 October–1 November. SPE-162515-MS. https://doi.org/10.2118/162515-MS.
Stalgorova, K. and Mattar, L. 2013. Analytical Model for Unconventional Multifractured Composite Systems. SPE Res Eval & Eng 16 (3): 246–256. SPE-162516-PA. https://doi.org/10.2118/162516-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.
Tian, L., Xiao, C., Xie, Q. et al. 2016. Quantitative Determination of Abandonment Pressure for CO2 Storage in Depleted Shale Gas Reservoirs by Free-Simulator Approach. Journal of Natural Gas Science and Engineering 36: 519–539. https://doi.org/10.1016/j.jngse.2016.10.051.
Wang, Hai-Tao. 2014. Performance of Multiple Fractured Horizontal Wells in Shale Gas Reservoirs With Consideration of Multiple Mechanisms. Journal of Hydrology 510: 299–312. https://doi.org/10.1016/j.jhydrol.2013.12.019.
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.
Xiao, C., Tian, L., Yang, Y. et al. 2016. Comprehensive Application of Semi-Analytical PTA and RTA to Quantitatively Determine Abandonment Pressure for CO2 Storage in Depleted Shale Gas Reservoirs. Journal of Petroleum Science and Engineering 146: 813–831. https://doi.org/10.1016/j.petrol.2016.07.021.
Yu, W., Wu, K., and Sepehrnoori, K. 2016. 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.
Zeng, F., Zhao, G., and Liu, H. 2012. A New Model for Reservoirs With a Discrete-Fracture System. J Can Pet Technol 51 (2): 127–136. SPE-150627-PA. https://doi.org/10.2118/150627-PA.
Zhou, W., Banerjee, R., Poe, B. D. et al. 2013. Semi-Analytical Production Simulation of Complex Hydraulic-Fracture Networks. SPE J. 19 (1): 6–18. SPE-157367-PA. https://doi.org/10.2118/157367-PA.