Sweet Spot Identification and Prediction of Frac Stage Performance Using Geology, Geophysics, and Geomechanics - Application to the Longmaxi Formation, China
- X. Yang (SCGC) | X. Wang (SCGC) | A. Aoues (SIGMA) | A. Ouenes (FracGeo)
- Document ID
- Society of Petroleum Engineers
- SPE Asia Pacific Unconventional Resources Conference and Exhibition, 9-11 November, Brisbane, Australia
- Publication Date
- Document Type
- Conference Paper
- 2015. Society of Petroleum Engineers
- 4 Facilities Design, Construction and Operation, 3 Production and Well Operations, 3 Production and Well Operations, 0.2 Wellbore Design, 3 Production and Well Operations, 3.3.1 Production Logging, 4.1.2 Separation and Treating, 5.1.2 Faults and Fracture Characterisation, 3.3 Well & Reservoir Surveillance and Monitoring, 1.6 Drilling Operations, 0.2.2 Geomechanics, 5.1.5 Geologic Modeling, 4.1 Processing Systems and Design
- shale gas in China, 3G workflow, frac stage optimization, shale capacity, sweet spot identification
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Microseismic data is evaluated with surface seismic and analyzed in addition to treatment data to understand the variance in performance of frac stages at three wells drilled in the Longmaxi formation, China. In well H1, the microseismic is dominated by fault reactivations, and is of little use in analyzing the performance of individual frac stages. In the wells H2 and H3, the use of maximum curvature derived from surface seismic showed strong qualitative correlation with microseismicity. To quantify the effects of shale properties on the frac stage performances, seismic attributes were used to derive geologic models of porosity, total gas, fracture density and Poisson's Ratio which were combined to form the Shale Capacity. The comparison of the Shale Capacity with the production log of H1 demonstarates how the model explains the performance of the frac stages away from the faults. The same observations could be made using the extent of good Shale Capacity away from the faults to explain the important difference in production between H2 and H3. Given the importance of the faults and their geomechanical impact on the performance of the frac stages, a geomechanical workflow able to simulate the interaction between the hydraulic and natural fractures is applied to the H1 well. The resulting strain and J Integral are able to explain the performance of the frac stages in H1 thus confirming the importance of the natural fractures and the need to account for their geomechanical effects.
|File Size||5 MB||Number of Pages||18|
Aimene, Y., Ouenes, A., (2015) Geomechanical modeling of hydraulic fractures interacting with natural fractures — Validation with microseismic and tracer data from the Marcellus and Eagle Ford, Interpretation, 3(3), SU71-SU88. doi: 10.1190/INT-2014-0274.1
Today in Energy, (June 26, 2015) Argentina and China lead shale development outside North America in first-half 2015, http://www.eia.gov/todayinenergy/detail.cfm?id=21832
Ouenes, A. (2014). Distribution of Well Performances in Shale Reservoirs and Their Predictions Using the Concept of Shale Capacity. Presented at SPE/EAGE European Unconventional Resources Conference and Exhibition, Vienna, Austria, 25-27 February. doi:10.2118/167779-MS
Ouenes, A., Bachir, A., Boukhelf, D., and Fackler, M. (2014). Estimation of Stimulated Reservoir Volume Using the Concept of Shale Capacity and its Validation with Microseismic and Well Performance: Application to the Marcellus and Haynesville. Presented at SPE Western North American and Rocky Mountain Joint Meeting, Denver, 17-18 April. http:10.2118/169564-MS.
Ouenes, A., Umholtz, N., Aimene, Y. (2015) Using geomechanical modeling to quantify the impact of natural fractures on well performance and microseismicity: application to the Wolfcamp, Permian basin, paper URTeC 2173459 Presented at the 2015 Unconventional Resources Technology Conference, July 20-22, San Antonio.
Jin, Z., Li, M., Hu, Z., Gao, B, Nie, H., Zhao, J., (2015), Shorten the learning curve through technological innovation: A case study of the Fuling shale gas discovery in Sichuan basin, SW China, paper URTeC 2152994 Presented at the 2015 Unconventional Resources Technology Conference, July 20-22, San Antonio
Moos, D., Lacazette, A., Vassilellis, G. D., Cade, R., Franquet, J. A., Bourtembourg, E., & Daniel, G. (2011, January 1). Predicting Shale Reservoir Response to Stimulation: the Mallory 145 Multi-Well Project. Society of Petroleum Engineers. doi:10.2118/145849-MS
Mullen, M. J., Pitcher, J. L., Hinz, D., Everts, M. L., Dunbar, D., Carlstrom, G. M., & Brenize, G. R. (2010, January 1). Does the Presence of Natural Fractures Have an Impact on Production? A Case Study from the Middle Bakken Dolomite, North Dakota. Society of Petroleum Engineers. DOI:10.2118/135319-MS
Qian, B., Yin, C., Li, Y., Xu, B., Qin, G., (2015), Diagnostics of casing deformation in mutli-stage hydraulic fracturing stimulation in lower Silurian marine shale in Southwestern China, paper URTeC 2174637 Presented at the 2015 Unconventional Resources Technology Conference, July 20-22, San Antonio.