Estimating Effective Fracture Pore Volume From Flowback Data and Evaluating Its Relationship to Design Parameters of Multistage-Fracture Completion
- Yingkun Fu (University of Alberta) | Hassan Dehghanpour (University of Alberta) | Dannel Obinna Ezulike (University of Alberta) | R. Steven Jones Jr. (Newfield Exploration Company)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- March 2017
- Document Type
- Journal Paper
- 2017.Society of Petroleum Engineers
- Fracture Characterization, Hydraulic Fracturing Design, Flowback Analysis
- 48 in the last 30 days
- 539 since 2007
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Flowback data from seven multifractured horizontal tight oil/gas wells in Anadarko Basin show two separate regions during the single-phase water production. Region 1 shows a dropping casing pressure, and Region 2 shows a flattening casing pressure. This paper investigates the flowback behavior of the two regions, and illustrates how flowback data can be interpreted to estimate effective fracture pore volume, and to investigate its relationship to completion-design parameters. We construct diagnostic plots to understand the physics of Regions 1 and 2. Region 1 represents pressure depletion in fractures, and Region 2 represents the hydrocarbon breakthrough into the effective fracture network. The results of our analyses indicate that the duration of Region 1 depends on initial reservoir pressure and hydrocarbon type. We apply a previous flowback model (Abbasi et al. 2012, 2014) on Region 1 to estimate effective fracture pore volume, and also propose a procedure to estimate fracture compressibility by use of diagnostic-fracturing-injection-test (DFIT) data. The results suggest that the estimated effective fracture pore volume is very sensitive to fracture compressibility, and is generally larger than the final load-recovery volume, and less than the total injected-water volume. The results also suggest that most of the effective fractures are unpropped, and host the nonrecovered fracturing water. We investigate the relationship between the estimated effective fracture pore volumes and completion-design parameters, including total injected-water volume, proppant mass, gross perforated interval, and number of clusters, by use of the Pearson correlation-coefficient method. The results show that total injected-water volume, gross perforated interval, and the number of clusters are among the key design parameters for an optimal fracturing treatment. Higher total injected-water volume and closer cluster spacing generally lead to a larger effective fracture pore volume.
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Abbasi, M., Dehghanpour, H., and Hawkes, R. V. 2012. Flowback Analysis for Fracture Characterization. Presented at the SPE Canadian Unconventional Resources Conference, Calgary, 30 October–1 November. SPE-162661-MS. https://doi.org/10.2118/162661-MS.
Abbasi, M. A. 2013. A Comparative Study of Flowback Rate and Pressure Transient Behavior in Multi Fractured Horizontal Wells. MSc thesis, University of Alberta, Edmonton, Canada (September 2013).
Abbasi, M. A., Ezulike, D. O., Dehghanpour, H. et al. 2014. A Comparative Study of Flowback Rate and Pressure Transient Behavior in Multifractured Horizontal Wells Completed in Tight Gas and Oil Reservoirs. Journal of Natural Gas Science and Engineering 17: 82–93. https://doi.org/10.1016/j.jngse.2013.12.007.
Adefidipe, O. A., Dehghanpour, H., and Virues, C. J. 2014. Immediate Gas Production From Shale Gas Wells: A Two-Phase Flowback Model. Presented at the SPE Unconventional Resources Conference, The Woodlands, Texas, USA, 1–3 April. SPE-168982-MS. https://doi.org/10.2118/168982-MS.
Aguilera, R. 1999. Recovery Factors and Reserves in Naturally Fractured Reservoirs. J Can Pet Technol 38 (7): 15–18. PETSOC-99-07-DA. https://doi.org/10.2118/99-07-DA.
Alkouh, A., McKetta, S., and Wattenbarger, R. A. 2014. Estimation of Effective-Fracture Volume Using Water-Flowback and Production Data for Shale-Gas Wells. J Can Pet Technol 53 (5): 290–303. SPE-166279-PA. https://doi.org/10.2118/166279-PA.
Bello, R.O. 2009. Rate Transient Analysis in Shale Gas Reservoirs With Transient Linear Behavior. PhD thesis, Texas A&M University, College Station, Texas (May 2009).
Clarkson, C. R. and Williams-Kovacs, J. 2013. Modeling Two-Phase Flowback of Multifractured Horizontal Wells Completed in Shale. SPE J. 18 (4): 795–812. SPE-162593-PA. https://doi.org/10.2118/162593-PA.
Crafton, J. W. and Gunderson, D. W. 2006. Use of Extremely High Time-Resolution Production Data to Characterize Hydraulic Fracture Properties. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 24–27 September. SPE-49223-MS. https://doi.org/10.2118/49223-MS.
Economides, M. J. and Nolte, K. G. 2000. Reservoir Stimulation, third edition. Wiley & Sons, Ltd.
Ezulike, D. O., Dehghanpour, H., and Hawkes, R. V. 2013. Understanding Flowback as a Transient 2 Phase Displacement Process: An Extension of the Linear Dual Porosity Model. Presented at the SPE Canadian Unconventional Resources Conference, Calgary, 5–7 November. SPE-167164-MS. https://doi.org/10.2118/167164-MS.
Ezulike, D. O. and Dehghanpour, H. 2014a. A Workflow for Flowback Data Analysis—Creating Value out of Chaos. Presented at the Unconventional Resources Technology Conference, Denver, 25–27 August. SPE-2014-1922047-MS. https://doi.org/10.15530/urtec-2014-1922047.
Ezulike, D. O. and Dehghanpour, H. 2014b. Modelling Flowback as a Transient Two-Phase Depletion Process. Journal of Natural Gas Science and Engineering 19: 258–278. https://doi.org/10.1016/j.jngse.2014.05.004.
Ezulike, O., Dehghanpour, H., Virues, C. et al. 2016. Flowback Fracture Closure: A Key Factor for Estimating Effective Pore Volume. SPE Res Eval & Eng 19 (4): 567–582. SPE-175143-PA. https://doi.org/10.2118/175143-PA.
IHS Harmony Software. 2014. Pressure Loss Calculations. http://www.fekete.com/SAN/WebHelp/Piper/WebHelp/c-te-pressure.htm (accessed 19 December 2016).
Ilk, D., Currie, S. M., Symmons, D. et al. 2010. A Comprehensive Workflow for Early Analysis and Interpretation of Flowback Data From Wells in Tight Gas/Shale Reservoir Systems. Presented at the SPE Annual Technical Conference and Exhibition, Florence, Italy, 19–22 September. SPE-135607-MS. https://doi.org/10.2118/135607-MS.
Ingram, S. R., Lahman, M., and Persac, S. 2014. Methods Improve Stimulation Efficiency of Perforation Clusters in Completions. J Pet Technol 66 (4): 32–36. SPE-0414-0032-JPT. https://doi.org/10.2118/0414-0032-JPT.
Jones Jr., F. O. 1975. A Laboratory Study of the Effects of Confining Pressure on Fracture Flow and Storage Capacity in Carbonate Rocks. J Pet Technol 27 (1): 21–27. SPE-4569-PA. https://doi.org/10.2118/4569-PA.
Jones, R., Steven Jr., R., Pownall, B. et al. 2014. Estimating Reservoir Pressure From Early Flowback Data. Presented at the Unconventional Resources Technology Conference, Denver, 25–27 August. SPE-2014-1934785-MS. https://doi.org/10.15530/urtec-2014-1934785-MS.
McCain, W. D. 1991. Reservoir-Fluid Property Correlations-State of the Art (includes associated papers 23583 and 23594). SPE J. 6 (2): 266–272. SPE-18571-PA. https://doi.org/10.2118/18571-PA.
McKenna, J. P. 2014. Where Did the Proppant Go? Presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Denver, 25–27 August. SPE-2014-1922843-MS. https://doi.org/10.15530/urtec-2014-1922843-MS.
Nguyen, P. D., Weaver, J. D., Parker, M. A. et al. 1996. Proppant Flowback Control Additives. Presented at the SPE Annual Technical Conference and Exhibition, Denver, 6–9 October. SPE-36689-MS. https://doi.org/10.2118/36689-MS.
Nolte, K. G. 1979. Determination of Fracture Parameters From Fracturing Pressure Decline. Presented at the SPE Annual Technical Conference and Exhibition, Las Vegas, Nevada, 23–26 September. SPE-8341-MS. https://doi.org/10.2118/8341-MS.
Palacio, J. C. and Blasingame, T. A. 1993. Decline-Curve Analysis With Type Curves— Analysis of Gas Well Production Data. Presented at the SPE Rocky Mountain Regional/Low Permeability Reservoirs Symposium, Denver, 26–28 April. SPE-25909-MS. https://doi.org/10.2118/25909-MS.
Parmar, J., Dehghanpour, H., and Kuru, E. 2014. Displacement of Water by Gas in Propped Fractures: Combined Effects of Gravity, Surface Tension, and Wettability. Journal of Unconventional Oil and Gas Resources 5: 10–21. https://doi.org/10.1016/j.juogr.2013.11.005.
Pearson, K. 1895. Notes on Regression and Inheritance in the Case of Two Parents. Proc., the Royal Society of London, Vol. 58, 240–242.
Peters, E. J. 2012. Advanced Petrophysics. In Geology, Porosity, Absolute Permeability, Heterogeneity, and Geostatistics, Vol. 1. Greenlead Book Group (Reprint).
Raysoni, N. and Weaver, J. 2013. Long-Term Hydrothermal Proppant Performance. SPE Prod & Oper 28 (4): 414–426. SPE-150669-PA. https://doi.org/10.2118/150669-PA.
Sharma, M. and Agrawal, S. 2013. Impact of Liquid Loading in Hydraulic Fractures on Well Productivity. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, 4–6 February. SPE-163837-MS. https://doi.org/10.2118/163837-MS.
Sharma, M. M. and Manchanda, R. 2015. The Role of Induced Unpropped (IU) Fractures in Unconventional Oil and Gas Wells. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 28–30 September. SPE-174946-MS. https://doi.org/10.2118/174946-MS.
Song, B. and Ehlig-Economides, C. A. 2011. Rate-Normalized Pressure Analysis for Determination of Shale Gas Well Performance. Presented at the North American Unconventional Gas Conference and Exhibition, The Woodlands, Texas, 14–16 June. SPE-144031-MS. https://doi.org/10.2118/144031-MS.
Tiab, D., Restrepo, D. P., and Igbokoyi, A. O. 2006. Fracture Porosity of Naturally Fractured Reservoirs. Presented at the International Oil Conference and Exhibition in Mexico, Cancun, Mexico, 31 August–2 September. SPE-104056-MS. https://doi.org/10.2118/104056-MS.
Wallace, J., Kabir, C. S., and Cipolla, C. 2014. Multiphysics Investigation of Diagnostic Fracture Injection Tests in Unconventional Reservoirs. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, 4–6 February. SPE-168620-MS. https://doi.org/10.2118/168620-MS.
Warpinski, N. R. 2010. Stress Amplification and Arch Dimensions in Proppant Beds Deposited by Waterfracs. SPE Prod & Oper 25 (4): 461–471. SPE-119350-PA. https://doi.org/10.2118/119350-PA.
Williams-Kovacs, J. D. and Clarkson, C. R. 2013. Stochastic Modeling of Multi-Phase Flowback From Multi-Fractured Horizontal Tight Oil Wells. Presented at the SPE Unconventional Resources Conference Canada, Calgary, 5–7 November. SPE-167232-MS. https://doi.org/10.2118/167232-MS.
Xu, Y., Adefidipe, O. A. and Dehghanpour, H. 2015. Estimating Fracture Volume Using Flowback Data From the Horn River Basin: A Material Balance Approach. Journal of Natural Gas Science and Engineering 25: 253–270. https://doi.org/10.1016/j.jngse.2015.04.036.
Xu, Y., Adefidipe, O. A., and Dehghanpour, H. 2016. A Flowing Material Balance Equation for Two-Phase Flowback Analysis. Journal of Petroleum Science and Engineering 142: 170–185. https://doi.org/10.1016/j.petrol.2016.01.018.
Zhang, J., Kamenov, A., Hill, A. D. et al. 2014. Laboratory Measurement of Hydraulic-Fracture Conductivities in the Barnett Shale. SPE Prod & Oper 29 (3): 216–227. SPE-163839-PA. https://doi.org/10.2118/163839-PA.
Zhang, Y. and Ehlig-Economides, C. 2014. Accounting for Remaining Injected Fracturing Fluid in Shale Gas Wells. Presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Denver, 25–27 August. SPE-2014-1892994-MS. https://doi.org/10.15530/urtec-2014-1892994.
Zhou, Q., Dilmore, R., Kleit, A. et al. 2016. Evaluating Fracture-Fluid Flowback in Marcellus Using Data-Mining Technologies. SPE Prod & Oper 31 (2): 133–146. SPE-173364-PA. https://doi.org/10.2118/173364-PA.