Developing Guidelines for Selection of Appropriate Fracture Models in the Numerical Simulation of Well Performance Behavior for Liquid Rich Ultra-Low Permeability ULP Reservoirs
- A. G. Sivon (Texas A&M University) | G. J. Moridis (Texas A&M University) | T. A. Blasingame (Texas A&M University)
- Document ID
- Society of Petroleum Engineers
- SPE Hydraulic Fracturing Technology Conference and Exhibition, 23-25 January, The Woodlands, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Petroleum Engineers
- 5 Reservoir Desciption & Dynamics, 2.1 Completion Selection and Design, 5.5.8 History Matching, 5.5 Reservoir Simulation, 2.1 Completion Selection and Design
- Unconventional, Reservoir Simulation
- 1 in the last 30 days
- 415 since 2007
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The numerical prediction of production from stimulated Ultra-Low Permeability (ULP) media is highly correlated with the type of fracture model used in the simulator. Although there are some general rules about the applicability of these fracture models, there are no guidelines for the a-priori selection of an appropriate model — generally, the fracture model is selected based on the preference and/or familiarity of the person performing the modeling, rather than some "more technical" criteria. In that light, this work presents an effort to provide guidance for fracture model suitability for cases from the Eagle Ford, Bakken, Three Forks, and Wolfcamp formations.
In this work, production data from multiple wells in the aforementioned reservoirs are history-matched using models commonly available in commercial reservoir simulators. We evaluate the ability of the equivalent continuum model (ECM), the dual porosity, the dual permeability, and the multiple interactive continuum model (MINC) to represent these wells.
We determine that a correlation exists between the choice of the fracture model and the reservoir. However, the results of the study do not provide a sufficiently strong indication of model superiority which would support authoritative guidelines about applicability for a particular reservoir. Ultimately the choice of the most representative model depends on the particular well. The proposed recommendationsprovide guidance onthe appropriate fracture model to represent the studied reservoirs, thus enhancing their usefulness in the completion design process and the evaluation and prediction of production.
|File Size||1 MB||Number of Pages||18|
Baihly, J.D., Malpani, R., Edwards, C. 2010. Unlocking the Shale Mystery: How Lateral Measurements and Well Placement Impact Completions and Resultant Production. Society of Petroleum Engineers. DOI: 10.2118/138427-MS.
Blaskovich, F.T., Cain, G.M., Sonier, F. 1983. A Multicomponent Isothermal System for Efficient Reservoir Simulation. Society of Petroleum Engineers. DOI: 10.2118/11480-MS.
Chipperfield, S.T., Wong, J.R., Warner, D.S. 2007. Shear Dilation Diagnostics: A New Approach for Evaluating Tight Gas Stimulation Treatments. Society of Petroleum Engineers. DOI: 10.2118/106289-MS.
Chu, L., Ye, P., Harmawan, I.S. 2012. Characterizing and Simulating the Nonstationariness and Nonlinearity in Unconventional Oil Reservoirs: Bakken Application. Society of Petroleum Engineers. DOI: 10.2118/161137-MS.
Cipolla, C.L., Lolon, E., Erdle, J. 2009. Modeling Well Performance in Shale-Gas Reservoirs. Society of Petroleum Engineers. DOI: 10.2118/125532-MS.
Cipolla, C.L., Lolon, E.P., Erdle, J.C. 2010. Reservoir Modeling in Shale-Gas Reservoirs. DOI: 10.2118/125530-PA
Fisher, M.K., Wright, C.A., Davidson, B.M. 2002. Integrating Fracture Mapping Technologies to Optimize Stimulations in the Barnett Shale. Society of Petroleum Engineers. DOI: 10.2118/77441-MS.
Gilman, J.R. and Kazemi, H. 1983. Improvements in Simulation of Naturally Fractured Reservoirs. DOI: 10.2118/10511-PA
Hill, A.C. and Thomas, G.W. 1985. A New Approach for Simulating Complex Fractured Reservoirs. Society of Petroleum Engineers. DOI: 10.2118/13537-MS.
Li, B. 2014. Natural Fractures in Unconventional Shale Reservoirs in Us and Their Roles in Well Completion Design and Improving Hydraulic Fracturing Stimulation Efficiency and Production. Society of Petroleum Engineers. DOI: 10.2118/170934-MS.
Li, J., Du, C., and Zhang, X. 2011. Critical Evaluations of Shale Gas Reservoir Simulation Approaches: Single Porosity and Dual Porosity Modeling. Society of Petroleum Engineers. DOI: 10.2118/141756-MS.
Maxwell, S.C., Urbancic, T.I., Steinsberger, N. 2002. Microseismic Imaging of Hydraulic Fracture Complexity in the Barnett Shale. Society of Petroleum Engineers. DOI: 10.2118/77440-MS.
Moridis, G.J. 2017. High Resolution Investigations of Flow and Thermal Processes During Production from Hydraulically Fractured Ultra-Low Permeability Media. Society of Petroleum Engineers. DOI: 10.2118/185512-MS.
Moridis, G.J., Blasingame, T.A., and Freeman, C.M. 2010. Analysis of Mechanisms of Flow in Fractured Tight-Gas and Shale-Gas Reservoirs. Society of Petroleum Engineers. DOI: 10.2118/139250-MS.
Mullen, J. 2010. Petrophysical Characterization of the Eagle Ford Shale in South Texas. Society of Petroleum Engineers. DOI: 10.2118/138145-MS.
Oussoltsev, D., Offenberger, R.M., Kanneganti, K.T. 2013. Application of Reservoir-Centric Stimulation Design Tool in Completion Optimization for Eagle Ford Shale. Society of Petroleum Engineers. DOI: 10.2118/164526-MS.
Pruess, K. and Narasimhan, T.N. 1985. A Practical Method for Modeling Fluid and Heat Flow in Fractured Porous Media. DOI: 10.2118/10509-PA
Rubin, B. 2010. Accurate Simulation of Non Darcy Flow in Stimulated Fractured Shale Reservoirs. Society of Petroleum Engineers. DOI: 10.2118/132093-MS.
Sitchler, J.C., Cherian, B.V., Panjaitan, M.L. 2013. Asset Development Drivers in the Bakken and Three Forks. Society of Petroleum Engineers. DOI: 10.2118/163855-MS.
Sonnenberg, S.A. 2015. Keys to Production, Three Forks Formation, Williston Basin. Unconventional Resources Technology Conference. DOI: 10.15530/URTEC-2015-2148989.
Stegent, N.A., Wagner, A.L., Mullen, J. 2010. Engineering a Successful Fracture-Stimulation Treatment in the Eagle Ford Shale. Society of Petroleum Engineers. DOI: 10.2118/136183-MS.
Suarez-Rivera, R., Deenadayalu, C., Chertov, M. 2013. Improving Horizontal Completions on Heterogeneous Tight-Shales. Society of Petroleum Engineers. DOI: 10.2118/146998-MS.
Tian, Y., Ayers, W.B., and McCain, W.D. 2014. Regional Impacts of Lithologic Cyclicity and Reservoir and Fluid Properties on Eagle Ford Shale Well Performance. Society of Petroleum Engineers. DOI: 10.2118/169007-MS.
Warpinski, N.R., Mayerhofer, M.J., Vincent, M.C. 2009. Stimulating Unconventional Reservoirs: Maximizing Network Growth While Optimizing Fracture Conductivity. DOI: 10.2118/114173-PA
Warren, J.E. and Root, P.J. 1963. The Behavior of Naturally Fractured Reservoirs. DOI: 10.2118/426-PA
White, T., Clarke, P., Stephens, A. 2014. Fault and Fracture Characterization from an Integrated Subsurface and Seismic Dataset: Impact on Well Performance of the Wolfcamp Shale, Midland Basin, West Texas. In SPE/AAPG/SEG Unconventional Resources Technology Conference: Society of Petroleum Engineers. ISBN 1613993609.
Wu, Y.-S., Li, J., Ding, D. 2014. A Generalized Framework Model for the Simulation of Gas Production in Unconventional Gas Reservoirs. DOI: 10.2118/163609-PA
Zakhour, N., Shoemaker, M., and Lee, D. 2015. Integrated Workflow Using 3d Seismic and Geomechanical Properties with Microseismic and Stimulation Data to Optimize Completion Methodologies: Wolfcamp Shale-Oil Play Case Study in the Midland Basin. Society of Petroleum Engineers. DOI: 10.2118/177298-MS.