Comparison of the Methods for Analyzing Rate- and Pressure-Transient Data from Multistage Hydraulically Fractured Unconventional Gas Reservoirs
- Aykut Atadeger (University of Tulsa) | Ela Batur (University of Tulsa and Turkish Petroleum Corporation) | Mustafa Onur (University of Tulsa) | Leslie G. Thompson (Cimarex Energy Company)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- May 2020
- Document Type
- Journal Paper
- 627 - 647
- 2020.Society of Petroleum Engineers
- boundary dominated flow analysis, rate/pressure transient data, unconventional reservoirs, linear flow analysis, comparison of methods
- 19 in the last 30 days
- 138 since 2007
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In this study, we provide a detailed review and comparison of the various graphical methods, available in the literature, to interpret/ analyze rate- and pressure-transient data acquired from multistage hydraulically fractured horizontal wells (MHFHWs) completed in unconventional gas reservoirs. The methods reviewed in this study do not address complex transport mechanisms and complex fracture networks, but do address transient matrix linear flow (Ibrahim and Wattenbarger 2006; Nobakht and Clarkson 2012a, 2012b; Chen and Raghavan 2013) and boundary-dominated flow (BDF). The methods for BDF are the contacted-volume methods based on the ending times of linear flow (Wattenbarger et al. 1998; Behmanesh et al. 2015) and the flowing material-balance (FMB) methods. The Agarwal- Gardner FMB method (Agarwal et al. 1999) and the conventional FMB method involve plotting rate-normalized pseudopressure vs. material-balance pseudotime. We delineate the advantages and limitations associated with each method and identify the best methods of interpretation and analysis. Three different production modes—constant rate (CR), constant bottomhole pressure (BHP) (CBHP), and variable-rate BHP—are considered. For comparison, various synthetic test data sets generated from a high-resolution spectral gas simulator, which treats nonlinear gas flow rigorously and accurately to simulate rate-transient data, is used. Both synthetic noise-free and noisy-rate pressure-data sets considering wide ranges of initial reservoir pressure and BHP, as well as real-field data sets, are used to compare the methods. For linear flow, the Nobakht-Clarkson method (Nobakht and Clarkson 2012a, 2012b) yields the best results, although its use is tedious because it requires an iterative procedure. The Chen and Raghavan (2013) method for linear flow seems to provide results that are comparable with the Nobakht-Clarkson method (Nobakht and Clarkson 2012b) but does not require an iterative procedure. The Ibrahim-Wattenbarger method (Ibrahim and Wattenbarger 2006) for linear-flow analysis always overestimates flow capacity compared with the other methods. Among the methods that discuss the ending time of linear flow, it was found that the unit-impulse method from Behmanesh et al. (2015) provides the best results for predicting gas in place. For BDF, the results show that the Agarwal-Gardner FMB method (Agarwal et al. 1999) is quite vulnerable to the error in rate/pressure data, whereas the conventional FMB method is more robust to noise and provides more accurate estimates of gas in place.
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Agarwal, R. G., Gardner, D. C., Kleinsteiber, S. W. et al. 1999. Analyzing Well Production Data Using Combined-Type-Curve and Decline-Curve Analysis Concepts. SPE Res Eval & Eng 2 (5): 478–486. SPE-57916-PA. https://doi.org/10.2118/57916-PA.
Al-Hussainy, R., Ramey, H. J. Jr., and Crawford, P. B. 1966. The Flow of Real Gases Through Porous Media. J Pet Technol 18 (5): 624–636. SPE-1243-A-PA. https://doi.org/10.2118/1243-A-PA.
Anderson, D. M. and Mattar, L. 2007. An Improved Pseudo-Time for Gas Reservoirs with Significant Transient Flow. J Can Pet Technol 46 (7): 49–54. PETSOC-07-07-05. https://doi.org/10.2118/07-07-05.
Anderson, D. M., Nobakht, M., Moghadam, S. et al. 2010. Analysis of Production Data from Fractured Shale Gas Wells. Paper presented at the SPE Unconventional Gas Conference, Pittsburgh, Pennsylvania, USA, 23–25 February. SPE-131787-MS. https://doi.org/10.2118/131787-MS.
Barree, D. R., Miskimins, J., and Gilbert, J. 2015. Diagnostic Fracture Injection Tests: Common Mistakes, Misfires, and Misdiagnoses. SPE Prod & Oper 30 (2): 84–98. SPE-169539-PA. https://doi.org/10.2118/169539-PA.
Batur, E. 2018. Comparison of the Methods for Analyzing Rate and Pressure Transient Data from Hydraulically Fractured Unconventional Reservoirs. Master’s thesis, University of Tulsa, Tulsa, Oklahoma, USA.
Behmanesh, H., Clarkson, C. R., Tabatabaie, S. H. et al. 2015. Impact of Distance-of-Investigation Calculations on Rate-Transient Analysis of Unconventional Gas and Light-Oil Reservoirs: New Formulations for Linear Flow. J Can Pet Technol 54 (6): 509–519. SPE-178928-PA. https://doi.org/10.2118/178928-PA.
Blasingame, T. A., Johnston, J. L., and Lee, W. J. 1989. Type-Curve Analysis Using the Pressure-Integral Method. Paper presented at the SPE California Regional Meeting, Bakersfield, California, USA, 5–7 April. SPE-18799-MS. https://doi.org/10.2118/18799-MS.
Bohacs, K. M., Passey, Q. R., Rudnicki, M. et al. 2013. The Spectrum of Fine-Grained Reservoirs from “Shale Gas” to “Shale Oil”/Tight Liquids: Essential Attributes, Key Controls, Practical Characterization. Paper presented at the International Petroleum Technology Conference, Beijing, China, 26–28 March. IPTC-16676-MS. https://doi.org/10.2523/IPTC-16676-MS.
Brown, M., Ozkan, E., Raghavan, R. et al. 2011. Practical Solutions for Pressure-Transient Responses of Fractured Horizontal Wells in Unconventional Shale Reservoirs. SPE Res Eval & Eng 14 (6): 663–676. SPE-125043-PA. https://doi.org/10.2118/125043-PA.
Chen, C. and Raghavan, R. 2013. On the Liquid-Flow Analog to Evaluate Gas Wells Producing in Shales. SPE Res Eval & Eng 16 (2): 209–215. SPE-165580-PA. https://doi.org/10.2118/165580-PA.
Chen, Z., Liao, X., Zhao, X. et al. 2015. Performance of Horizontal Wells with Fracture Networks in Shale Gas Formation. J Pet Sci Eng 133 (September): 646–664. https://doi.org/10.1016/j.petrol.2015.07.004.
Cinco-Ley, H., Samaniego-V., F., and Dominguez-A., N. 1978. Transient Pressure Behavior for a Well with a Finite-Conductivity Vertical Fracture. SPE J. 18 (4): 253–64. SPE-6014-PA. https://doi.org/10.2118/6014-PA.
Cipolla, C. and Wallace, J. 2014. Stimulated Reservoir Volume: A Misapplied Concept? Paper 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.
Dong, Z., Holditch, S., McVay, D. et al. 2012. Global Unconventional Gas Resource Assessment. SPE Econ & Mgmt 4 (4): 222–234. SPE-148365-PA. https://doi.org/10.2118/148365-PA.
Florence, F. A., Rushing, J., Newsham, K. et al. 2007. Improved Permeability Prediction Relations for Low Permeability Sands. Paper presented at the SPE Rocky Mountain Oil & Gas Technology Symposium, Denver, Colorado, USA, 16–18 April. SPE-107954-MS. https://doi.org/10.2118/107954-MS.
Fraim, M. L. and Wattenbarger, R. A. 1987. Gas Reservoir Decline-Curve Analysis Using Type Curves with Real Gas Pseudopressure and Normalized Time. SPE Form Eval 2 (4): 671–682. SPE-14238-PA. https://doi.org/10.2118/14238-PA.
Holditch, S. A. 2003. The Increasing Role of Unconventional Reservoirs in the Future of the Oil and Gas Business. J Pet Technol 55 (11): 34–79. SPE-1103-0034-JPT. https://doi.org/10.2118/1103-0034-JPT.
Ibrahim, M. H. and Wattenbarger, R. A. 2006. Analysis of Rate Dependence in Transient Linear Flow in Tight Gas Wells. Paper presented at the Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE, 5–8 November. SPE-100836-MS. https://doi.org/10.2118/100836-MS.
Javadpour, F., Fisher, D., and Unsworth, M. 2007. Nanoscale Gas Flow in Shale Gas Sediments. J Can Pet Technol 46 (10): 55–61. PETSOC-07-10-06. https://doi.org/10.2118/07-10-06.
Jiang, J., Younis, R. M., Thompson, L. et al. 2015. Rate Transient Effects of Various Complex Fracture Network Topologies in Unconventional Gas Reservoirs: A Numerical Simulation Study. Paper presented at the Unconventional Resources Technology Conference, San Antonio, Texas, USA, 20–22 July. URTEC-2174059-MS. https://doi.org/10.15530/URTEC-2015-2174059.
KAPPA. 2015. Ecrin Version 4.30.09, Integrated Software Platform for Dynamic Flow Analysis. Sophia Antipolis, France: KAPPA.
Kuchuk, F. J. 2009. Radius of Investigation for Reserve Estimation from Pressure Transient Well Tests. Paper presented at the SPE Middle East Oil Show and Conference. Manama, Bahrain, 15–18 March. SPE-120515-MS. https://doi.org/10.2118/120515-MS.
Kuchuk, F., Biryukov, D., Fitzpatrick, T. et al. 2015. Pressure Transient Behavior of Horizontal Wells Intersecting Multiple Hydraulic and Natural Fractures in Conventional and Unconventional Unfractured and Naturally Fractured Reservoirs. Paper presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, 28–30 September. SPE-175037-MS. https://doi.org/10.2118/175037-MS.
Kuchuk, F., Morton, M., and Biryukov, D. 2016. Rate-Transient Analysis for Multistage Fractured Horizontal Wells in Conventional and Un-Conventional Homogeneous and Naturally Fractured Reservoirs. Paper presented at the SPE Annual Technical Conference and Exhibition, Dubai, UAE, 26–28 September. SPE-181488-MS. https://doi.org/10.2118/181488-MS.
Kuchuk, F., Onur, M., and Hollaender, F. 2010. Pressure Transient Formation and Well Testing: Convolution, Deconvolution and Nonlinear Estimation, first edition. New York City, New York, USA: Developments in Petroleum Series, Vol. 57, Elsevier.
Lee, J. 1982. Well Testing, Vol. 1. Richardson, Texas, USA: Textbook Series, Society of Petroleum Engineers.
Moridis, G. J., Blasingame, T. A., and Freeman, C. M. 2010. Analysis of Mechanisms of Flow in Fractured Tight-Gas and Shale-Gas Reservoirs. Paper presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Lima, Peru, 1–3 December. SPE-139250-MS. https://doi.org/10.2118/139250-MS.
Nobakht, M. and Clarkson, C. R. 2012a. A New Analytical Method for Analyzing Linear Flow in Tight/Shale Gas Reservoirs: Constant-Rate Boundary Condition. SPE Res Eval & Eng 15 (1): 51–59. SPE-143990-PA. https://doi.org/10.2118/143990-PA.
Nobakht, M. and Clarkson, C. R. 2012b. A New Analytical Method for Analyzing Linear Flow in Tight/Shale Gas Reservoirs: Constant-Flowing-Pressure Boundary Condition. SPE Res Eval & Eng 15 (3): 370–384. SPE-143989-PA. https://doi.org/10.2118/143989-PA.
Nobakht, M. and Mattar, L. 2012. Analyzing Production Data from Unconventional Gas Reservoirs with Linear Flow and Apparent Skin. J Can Pet Technol 51 (1): 52–59. SPE-137454-PA. https://doi.org/10.2118/137454-PA.
Onur, M. and Reynolds, A. C. 1988. A New Approach for Constructing Type Curves for Well-Test Analysis. SPE Form Eval 3 (1): 197–206. SPE-16473-PA. https://doi.org/10.2118/16473-PA.
Onur, M., Peres, A. M. M., and Reynolds, A. C. Jr. 1993. New Well-Testing Pressure Functions With Applications. SPE Form Eval 8 (2): 135–144. SPE-191514-PA. https://doi.org/10.2118/191514-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://doi.org/10.2118/121290-PA.
Palacio, J. C. and Blasingame, T. A. 1993. Decline-Curve Analysis with Type Curves: Analysis of Gas Well Production Data. Paper presented at the Low Permeability Reservoirs Symposium, Denver, Colorado, USA, 26–28 April. SPE-25909-MS. https://doi.org/10.2118/25909-MS.
Roadifer, R. D. and Kalaei, M. H. 2015. Pseudo-Pressure and Pseudo-Time Analysis for Unconventional Oil Reservoirs with New Expressions for Average Reservoir Pressure During Transient Radial and Linear Flow. Paper presented at the Unconventional Resources Technology Conference, San Antonio, Texas, USA, 20–22 July. URTEC-2172344-MS. https://doi.org/10.15530/URTEC-2015-2172344.
Thompson, L. G. 2018a. Horizontal Well Fracture Interference—Semi-Analytical Modeling and Rate Prediction. J Pet Sci Eng 160 (January): 465–473. https://doi.org/10.1016/j.petrol.2017.10.002.
Thompson, L. G. 2018b. Modeling the Effects of Fracture Interference Using a Spectral Gas Reservoir Simulator. J Pet Sci Eng 160 (January): 474–482. https://doi.org/10.1016/j.petrol.2017.10.038.
Torcuk, M. A., Kurtoglu, B., Alharthy, N. et al. 2013. Analytical Solutions for Multiple Matrix in Fractured Reservoirs: Application to Conventional and Unconventional Reservoirs. SPE J. 18 (5): 969–981. SPE-164528-PA. https://doi.org/10.2118/164528-PA.
Wattenbarger, R. A., El-Banbi, A. H., Villegas, M. E. et al. 1998. Production Analysis of Linear Flow into Fractured Tight Gas Wells. Paper presented at the SPE Rocky Mountain Regional/Low-Permeability Reservoirs Symposium, Denver, Colorado, USA, 5–8 April. SPE-39931-MS. https://doi.org/10.2118/39931-MS.
Whittle, T. M. and Gringarten, A. C. 2008. The Determination of Minimum Tested Volume from Deconvolution of Well Test Pressure Transients. Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, USA, 21–24 September. SPE-116575-MS. https://doi.org/10.2118/116575-MS.
Wu, Y.-S., Wang, C., Li, J. et al. 2012. Transient Gas Flow in Unconventional Gas Reservoir. Paper presented at the SPE Europec/EAGE Annual Conference, Copenhagen, Denmark, 4–7 June. SPE-154448-MS. https://doi.org/10.2118/154448-MS.
Yu, W., Wu, K., Sepehrnoori, K. et al. 2017. A Comprehensive Model for Simulation of Gas Transport in Shale Formation with Complex Hydraulic-Fracture Geometry. SPE Res Eval & Eng 20 (3): 547–561. SPE-178747-PA. https://doi.org/10.2118/178747-PA.
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.