What Is Stimulated Reservoir Volume?
- Michael J. Mayerhofer (Pinnacle) | Elyezer Lolon (CARBO Ceramics) | Norman R. Warpinski (Pinnacle) | Craig L. Cipolla (CARBO Ceramics) | Douglas W. Walser (Pinnacle) | Claude M. Rightmire (Forest A. Garb and Associates)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- February 2010
- Document Type
- Journal Paper
- 89 - 98
- 2010. Society of Petroleum Engineers
- 5.1.1 Exploration, Development, Structural Geology, 3 Production and Well Operations, 5.8.2 Shale Gas, 5.5.8 History Matching, 5.5 Reservoir Simulation, 2.2.2 Perforating, 4.1.2 Separation and Treating, 5.8.1 Tight Gas, 1.6 Drilling Operations, 3.2.3 Hydraulic Fracturing Design, Implementation and Optimisation, 4.6 Natural Gas, 2.5.1 Fracture design and containment, 4.1.5 Processing Equipment, 5.1 Reservoir Characterisation, 5.7.2 Recovery Factors, 3.3 Well & Reservoir Surveillance and Monitoring, 5.1.5 Geologic Modeling
- 31 in the last 30 days
- 6,341 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 10.00|
|SPE Non-Member Price:||USD 30.00|
Ultralow-permeability shale reservoirs require a large fracture network to maximize well performance. Microseismic fracture mapping has shown that large fracture networks can be generated in many shale reservoirs. In conventional reservoirs and tight gas sands, single-plane-fracture half-length and conductivity are the key drivers for stimulation performance. In shale reservoirs, where complex network structures in multiple planes are created, the concepts of single-fracture half-length and conductivity are insufficient to describe stimulation performance. This is the reason for the concept of using stimulated reservoir volume (SRV) as a correlation parameter for well performance. The size of the created fracture network can be approximated as the 3D volume (stimulated reservoir volume) of the microseismic-event cloud. This paper briefly illustrates how the SRV can be estimated from microseismic-mapping data and is then related to total injected-fluid volume and well performance. While the effectively producing network could be smaller by some proportion, it is assumed that the created and the effective network are directly related. However, SRV is not the only driver of well performance. Fracture spacing and conductivity within a given SRV are just as important, and this paper illustrates how both SRV and fracture spacing for a given conductivity can affect production acceleration and ultimate recovery. The effect of fracture conductivity is discussed separately in a series of companion papers. Simulated-production data are then compared with actual field results to demonstrate variability in well performance and how this concept can be used to improve completion design, well spacing, and placement strategies.
|File Size||995 KB||Number of Pages||10|
Albright, J.N. and Pearson, C.F. 1982. Acoustic Emissions as a Tool forHydraulic Fracture Location: Experience at the Fenton Hill Hot Dry RockSite. SPE J. 22 (4): 523-530. SPE-9509-PA. doi:10.2118/9509-PA.
Cipolla, C.L., Warpinski, N.R., Mayerhofer, M.J., Lolon, E.P., and Vincent,M.C. 2008. The Relationshipbetween Fracture Complexity, Reservoir Properties, and Fracture TreatmentDesign. Paper SPE 115769 presented at the SPE Annual Technical Conferenceand Exhibition, Denver, 21-24 September. doi: 10.2118/115769-MS.
Fisher, M.K., Heinze, J.R., Harris, C.D., Davidson, B.M., Wright, C.A., andDunn, K.P. 2004. OptimizingHorizontal Completion Techniques in the Barnett Shale Using MicroseismicFracture Mapping. Paper SPE 90051 presented at the SPE Annual TechnicalConference and Exhibition, Houston, 26-29 September. doi: 10.2118/90051-MS.
Fisher, M.K., Wright, C.A., Davidson, B.M., Goodwin, A.K., Fielder, E.O.,Buckler, W.S., and Steinsberger, N.P. 2002. Integrating Fracture MappingTechnologies to Optimize Stimulations in the Barnett Shale. Paper SPE 77441presented at the SPE Annual Technical Conference and Exhibition, San Antonio,Texas, USA, 29 September-2 October. doi: 10.2118/77441-MS.
Maxwell, S.C., Urbancik, T.I., Steinsberger, N.P., and Zinno, R. 2002. Microseismic Imaging of HydraulicFracture Complexity in the Barnett Shale. Paper SPE 77440 presented at theSPE Annual Technology Conference and Exhibition, San Antonio, Texas, USA, 29September-2 October. doi: 10.2118/77440-MS.
Maxwell, S.C., Waltman, C.K., Warpinski, N.R., Mayerhofer, M.J., andBoroumand, N. 2006. ImagingSeismic Deformation Induced by Hydraulic Fracture Complexity. Paper SPE102801 presented at the SPE Annual Technology Conference and Exhibition, SanAntonio, Texas, USA, 24-27 September. doi: 10.2118/102801-MS.
Mayerhofer, M.J., Lolon, E.P., Youngblood, J.E., and Heinze, J.R. 2006. Integration of Microseismic FractureMapping Results With Numerical Fracture Network Production Modeling in theBarnett Shale. Paper SPE 102103 presented at the SPE Annual TechnicalConference and Exhibition, San Antonio, Texas, USA, 24-27 September. doi:10.2118/102103-MS.
Rutledge, J.T. and Phillips, W.S. 2003. Hydraulic stimulation of naturalfractures as revealed by induced microearthquakes, Carthage Cotton Valley gasfield, East Texas. Geophysics 68 (2): 441.doi:10.1190/1.1567212.
Warpinski, N.R., Mayerhofer, M.J., Vincent, M.C., Cipolla, C.L., and Lolon,E.P. 2008. StimulatingUnconventional Reservoirs: Maximizing Network Growth While Optimizing FractureConductivity. Paper SPE 114173 presented at the SPE UnconventionalReservoirs Conference, Keystone, Colorado, USA, 10-12 February. doi:10.2118/114173-MS.
Warpinski, N.R., Wolhart, S.L., and Wright, C.A. 2004. Analysis and Prediction ofMicroseismicity Induced by Hydraulic Fracturing. SPE J. 9 (1): 24-33. SPE-87673-PA. doi: 10.2118/87673-PA.
Zimmer, U., Maxwell, S., Waltman, C., and Warpinski, N. 2007. Microseismic Monitoring QualityControl (QC) Reports as an Interpretive Tool for Nonspecialists. Paper SPE110517 presented at the SPE Annual Technical Conference and Exhibition,Anaheim, California, USA, 11-14 November. doi: 10.2118/110517-MS.