期刊
COMPUTATIONAL GEOSCIENCES
卷 22, 期 4, 页码 1039-1057出版社
SPRINGER
DOI: 10.1007/s10596-018-9737-5
关键词
Geomechanics; Thermal-compositional-mechanics; Reservoir simulation; Multiphase flow; Multi-physics coupling
资金
- Reservoir Simulation Industrial Affiliates Consortium at Stanford University (SUPRI-B)
- Total S.A. through the Stanford Total Enhanced Modeling of Source rock (STEMS) project
We present a reservoir simulation framework for coupled thermal-compositional-mechanics processes. We use finite-volume methods to discretize the mass and energy conservation equations and finite-element methods for the mechanics problem. We use the first-order backward Euler for time. We solve the resulting set of nonlinear algebraic equations using fully implicit (FI) and sequential-implicit (SI) solution schemes. The FI approach is attractive for general-purpose simulation due to its unconditional stability. However, the FI method requires the development of a complex thermo-compositional-mechanics framework for the nonlinear problems of interest, and that includes the construction of the full Jacobian matrix for the coupled multi-physics discrete system of equations. On the other hand, SI-based solution schemes allow for relatively fast development because different simulation modules can be coupled more easily. The challenge with SI schemes is that the nonlinear convergence rate depends strongly on the coupling strength across the physical mechanisms and on the details of the sequential updating strategy across the different physics modules. The flexible automatic differentiation-based framework described here allows for detailed assessment of the robustness and computational efficiency of different coupling schemes for a wide range of multi-physics subsurface problems.
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