Advanced Computational Modeling of Proppant Settling in Water Fractures for Shale Gas Production
- Kuochen Tsai (Shell International Exploration and Production Incorporated) | Ernesto Fonseca (Shell International Exploration and Production Incorporated) | Ed Lake (Shell Exploration and Production Company) | Sujatha Degaleesan (Shell International E&P)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- December 2012
- Document Type
- Journal Paper
- 50 - 56
- 2012. Society of Petroleum Engineers
- 2.5.2 Fracturing Materials (Fluids, Proppant), 5.8.2 Shale Gas, 5.8.1 Tight Gas
- 2 in the last 30 days
- 916 since 2007
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This paper shows advances in the numerical simulation of proppant transport in hydraulically stimulated fractures for oil and gas production. Water or commonly known "slickwater" hydraulicfracture treatments have become increasingly popular in shale gas. This is widely applied in the Haynesville shale in northern Louisiana, but because of the large depths and high pressure, conventional wisdom suggests that intermediate-strength proppants (generally 4,000- to 6,000-psi crush strength) should be used. This strength envelope is in the transition range between ceramics and sand. Sand is lower in cost and has the advantage of having better transport properties in water fractures.
In the paper, a 3D computational-fluid-dynamics (CFD) model with Lagrangian solid-particle transport is used to visualize the propagation of sand and other lighter proppants in a simulated fracture. The proppant-settling behavior influenced by proppant density, size, and flow rates is demonstrated. The final proppant-settling patterns can vary dramatically and may result in significant changes in the fracture's conductivity.
Model assumptions, simplifications, and numerical details are discussed along with issues regarding validation and simulation strategy. The model geometry is highly idealized (i.e., neglecting fracture tortuosity and expansion during water fracturing, surface roughness, and fluid leakoff). The importance of this work lies in the fact that the model can resolve the interactions between fracturing fluid (water) and proppants within complex 3D geometries, thus providing a better understanding of the fracturing process to allow for possible enhancements to production procedures.
|File Size||656 KB||Number of Pages||7|
Harris, S. E. and Crighton, D. G. 1994. Solitons, Solitary Waves, andVoidage Disturbances in Gas-Fluidized Beds. J. Fluid Mech. 266: 243-276. http://dx.doi.org/10.1017/S0022112094000996.
Huser A. and Kvernvold, O. 1998. Prediction of Sand Erosion in Process andPipe Components. In Proceedings of the 1st North American Conference onMultiphase Technology, Banff, Canada, 10-11 June, ed. J.P. Brill, G.A.Gregory, 217-227. BHR Group Conference Series. Publ. No. 31. Cranfield,Bedfordshire. UK: BHR Group.
Igci, Y., Andrews, A. T., Pannala, S., et al. 2008. Filtered Two-FluidModels for Fluidized Gas-Particle Suspensions. AIChE J 54(6): 1431-1448. http://dx.doi.org/10.1002/aic.11481.
Launder, B. E. and Spalding, D. B. 1974. The Numerical Computation ofTurbulent Flow. Comput Methods Appl Mech & Eng 3 (2):269-289. http://dx.doi.org/10.1016/0045-7825(74)90029-2.
NSI. 2011. NSI Technologies Inc.
Smogorinsky, J. 1963. General Circulation Experiments with the PrimitiveEquations, Part I: The Basic Experiment. Monthly Weather Rev. 91 (3): 99-164. http://dx.doi.org/10.1175/1520-0493(1963)091<0099:GCEWTP>2.3.CO;2.
Snider, D. M. 2001. An Incompressible Three-Dimensional MultiphaseParticle-In-Cell Model for Dense Phase Flows. J Comput Phys 170(2): 523-549. http://dx.doi.org/10.1006/jcph.2001.6747.
Snider, D. M. and Banerjee, S. 2010. Heterogenous Gas Chemistry in the CPFDEulerian-Lagrangian Numerical Scheme (Ozone Decomposition). PowderTechnol 199 (1): 100-106. http://dx.doi.org/10.1016/j.powtec.2009.04.023.
Snider, D. M., O'Rourke, P. J. and Andrews, M. J. 1998. Sediment Flow inInclined Vessels Calculated Using Multiphase Particle-In-Cell Model for DenseParticle Flows. Int J Multiphase Flow 24 (8): 1359-1382. http://dx.doi.org/10.1016/S0301-9322(98)00030-5.
Sundaresan, S., Moon S. J. and Kevrekidis, I. G. 2007. Coarse-GrainedComputations of Demixing in Dense Gas-Fluidized Bed. Phys Rev E 75 (5): 051309. http://dx.doi.org/10.1103/PhysRevE.75.051309.
Wen, C. Y. and Yu, Y. H. 1966. Mechanics of Fluidization. Chem Eng ProgSymp Ser 62 (67): 100-110.
Wloff, R. G., Bredehoeft, J. D., Keys, W. S., et al. 1974. StressDetermination by Hydraulic Fracturing in Subsurface Waste Injection. JournalAmerican Water Works Association 67 (9): 519-523. http://www.jstor.org/stable/41268014.