Generalized multiscale finite elements for simulation of elastic-wave propagation in fractured media

Author:

Cho Yongchae1ORCID,Gibson Richard L.1ORCID,Vasilyeva Maria2ORCID,Efendiev Yalchin3

Affiliation:

1. Texas A&M University, Department of Geology and Geophysics, College Station, Texas, USA..

2. North-Eastern Federal University, Yakutsk, Republic of Sakha, Russia and Texas A&M University, Institute for Scientific Computation, College Station, Texas, USA..

3. Texas A&M University, Department of Mathematics, College Station, Texas, USA..

Abstract

We applied the generalized multiscale finite-element method (GMsFEM) to simulate seismic wave propagation in fractured media. Fractures are represented explicitly on a fine-scale triangular mesh, and they are incorporated using the linear-slip model. The motivation for applying GMsFEM is that it can reduce computational costs by using basis functions computed from the fine-scale fracture model to simulate propagation on a coarse grid. First, we apply the method to a simple model that has a uniform distribution of parallel fractures. At low frequencies, the results could be predicted using a homogeneous, effective medium, but at higher frequencies, GMsFEM allows simulation of more complex, scattered wavefields generated by the fractures without assuming a specific form of anisotropy. A second, more complex model has two fracture corridors in addition to a few sparsely distributed fractures. Simulations compare scattered wavefields for different acquisition geometries. The third test case represents a vertical section of subsurface structures and is designed to test the influence of fractures on the surface seismic. We compared the fine-scale solution with multiscale solution to demonstrate the accuracy and efficiency of computations. Given the simulation results of three different test cases, GMsFEM allows a reduction of computation time of approximately 80% compared with a conventional finite-element result computed directly from the fine-scale grid, and it can predict seismic signal variations useful for the interpretation of fracture distributions.

Funder

U.S. Department of Energy

Russian Federation Government

U.S. Department of Energy Office of Science Office of Advanced Scientific Computing Research, Applied Mathematics program

National Priorities Research Program

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

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