4.7 Article

A two-grid simulation framework for fast monitoring of fault stability and ground deformation in multiphase geomechanics

期刊

JOURNAL OF COMPUTATIONAL PHYSICS
卷 466, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2022.111405

关键词

Carbon sequestration; Multiphase geomechanics; Fault stability; Ground deformation; Unstructured tetrahedral grids; Computational geometry

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We present a simulation framework for fast monitoring of fault stability and ground deformation in multiphase geomechanics and demonstrate its efficacy for a joint CO2 sequestration and enhanced oil recovery case study. The framework accurately estimates fault stability, reduces computational burden, allows for fast renditions of flow-induced ground deformation, and enables independent selection of flow and geomechanics grid resolutions.
We present a simulation framework for fast monitoring of fault stability and ground deformation in multiphase geomechanics and demonstrate its efficacy for a joint CO2 sequestration and enhanced oil recovery case study. Fault stability is estimated by tracking the time evolution of the change in Coulomb Failure Function at critical points on the fault. The staggered solution algorithm for the coupled problem is augmented with a feature that allows for the flow and geomechanics sub-problems to be solved on two different unstructured tetrahedral grids. We demonstrate the accuracy of the two-grid method on the classical Mandel's problem. For the field scale problem, the geomechanics grid extends to the ground surface while the flow grid is truncated at a depth above which no well activity occurs and the flow field can be assumed to remain unperturbed. This framework reduces the computational burden associated with initialization of pressure and stress fields in the overburden, allows for a study of the critical interaction between overburden and faults, allows for fast renditions of flow-induced ground deformation, and allows choosing flow and geomechanics grid resolutions independently to capture disparate length scales of the underlying physics.(C) 2022 Elsevier Inc. All rights reserved.

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