Evaluating Fracture Volume Loss During Flowback and Its Relationship to Choke Size: Fastback vs. Slowback
- Yingkun Fu (University of Alberta) | Hassan Dehghanpour (University of Alberta) | Siyavash Motealleh (BP America) | Carlos Manuel Lopez (BP America) | Robert Hawkes (Trican Well Service Limited)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- August 2019
- Document Type
- Journal Paper
- 615 - 624
- 2019.Society of Petroleum Engineers
- rate-decline analysis, fracture-volume loss, flowback data analysis, effective fracture pore volume, choke-size strategy
- 12 in the last 30 days
- 303 since 2007
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In this study we estimated the initial effective fracture pore volume (Vfi) and fracture volume loss (dVef) for 21 wells completed in the Montney and Eagle Ford formations. We also evaluated the relationship between dVef and choke size. First, we applied rate-decline analysis to water-flowback data of candidate wells to estimate the ultimate water recovery volume, approximated as Vfi. Second, we estimated dVef using a fracture compressibility relationship to evaluate the fracture volume loss of the Eagle Ford wells. Third, we investigated the effect of choke size on dVef for the Eagle Ford fastback and slowback wells.
Semilog plots of flowback water rate vs. cumulative water volume show straight-line trends, representing a harmonic decline. The estimated Vfi accounts for approximately 84 and 26% of the total injected water volume (TIV) of the Montney and Eagle Ford wells, respectively. The results show that approximately 10% of the fracture volume is lost during flowback. This loss in fracture volume predominantly happens during the early flowback and becomes minimal during the late flowback period. The results show a relatively higher dVef for fastback (a flowback process with a relatively large choke size) wells compared with that for slowback (a flowback process with a relatively small choke size) wells. In this study we proposed a method to estimate the initial fracture volume and investigated the loss in fracture volume during the flowback process. Analyses of the field data led to an improved understanding of the factors that control water flowback and the effective fracture 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. Master’s thesis, University of Alberta, Edmonton, Canada (November 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. J Nat Gas Sci Eng 17: 82–93. https://doi.org/10.1016/j.jngse.2013.12.007.
Ahmed, T. H. 2010. Reservoir Engineering Handbook, fourth edition, Chap. 16. Burlington, Massachusetts: Elsevier/Gulf Professional.
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.
Arps, J. J. 1945. Analysis of Decline Curves. Trans AIME 160: 228–247. https://doi.org/10.2118/945228-G.
Bai, B., Goodwin, S., and Carlson, K. 2013. Modeling of Frac Flowback and Produced Water Volume From Wattenberg Oil and Gas Field, J Pet Sci Eng 108: 383–392. https://doi.org/10.1016/j.petrol.2013.05.003.
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-103591-MS. https://doi.org/10.2118/103591-MS.
Deen, T., Daal, J., and Tucker, J. 2015. Maximizing Well Deliverability in the Eagle Ford Shale Through Flowback Operations. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 28–30 September. SPE-174831-MS. https://doi.org/10.2118/174831-MS.
Ezulike, D. O. and Dehghanpour, H. 2015. A Complementary Approach for Uncertainty Reduction in Post-Flowback Production Data Analysis. J Nat Gas Sci Eng 27: 1074–1091. https://doi.org/10.1016/j.jngse.2015.09.059.
Ezulike, D. 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.
Fu, Y., Ezulike, D. O., Dehghanpour, H. et al. 2017. Estimating Effective Fracture Pore Volume From Flowback Data and Evaluating Its Relationship to Design Parameters of Multistage-Fracture Completion. SPE Prod & Oper 32 (4): 423–439. SPE-175892-PA. https://doi.org/10.2118/175892-PA.
Quintero, H., Mattucci, M., Hawkes, R. et al. 2018. Nano-Particle Surfactant in Hydraulic Fracturing Fluids for Enhanced Post Frac Oil Recovery. Presented at the SPE Canada Unconventional Resources Conference, Calgary, 13–14 March. SPE-189780-MS. https://doi.org/10.2118/189780-MS.
Stegent, N. A., Wagner, A. L., Mullen, J. et al. 2010. Engineering a Successful Fracture-Stimulation Treatment in the Eagle Ford Shale. Presented at the Tight Gas Completions Conference, San Antonio, Texas, 2–3 November. SPE-136183-MS. https://doi.org/10.2118/136183-MS.
Tompkins, D., Sieker, R., Koseluk, D. et al. 2016. Managed Pressure Flowback in Unconventional Reservoirs: A Permian Basin Case Study. Presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, San Antonio, Texas, 1–3 August. URTEC-2461207-MS. https://doi.org/10.15530/URTEC-2016-2461207.
Viswanathan, A., Altman, R. M., Oussoltsev, D. et al. 2011. Completion Evaluation of the Eagle Ford Formation With Heterogeneous Proppant Placement. Presented at the Canadian Unconventional Resources Conference, Calgary, 15–17 November. SPE-149390-MS. https://doi.org/10.2118/149390-MS.
Williams-Kovacs, J. D. 2017. Quantitative Analysis of Multi-Phase Flowback From Multi-Fractured Horizontal Wells. PhD thesis, University of Calgary, Calgary, Alberta (October 2017).
Xu, Y., Adefidipe, O. A., and Dehghanpour, H. 2015. Estimating Fracture Volume Using Flowback Data From the Horn River Basin: A Material Balance Approach. J Nat Gas Sci Eng 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. J Pet Sci Eng 142: 170–185. https://doi.org/10.1016/j.petrol.2016.01.018.
Xu, Y., Dehghanpour, H., Ezulike, O. et al. 2017. Effectiveness and Time Variation of Induced Fracture Volume: Lessons From Water Flowback Analysis. Fuel 210: 844–858. https://doi.org/10.1016/j.fuel.2017.08.027.