A Domain Decomposition Approach for Local Mesh Refinement in Space and Time
Gurpreet Singh, Mary F. Wheeler

TL;DR
This paper introduces a novel adaptive space-time mesh refinement method using domain decomposition that enables different time-step sizes in subdomains, improving convergence and efficiency in reservoir simulations.
Contribution
It presents a new space-time domain decomposition approach with residual-based error estimation and a fully coupled solver, enhancing stability and parallelism in flow simulations.
Findings
Non-linear solvers fail to converge with large residuals in small subdomains.
The method allows smaller time-steps in critical regions while using larger steps elsewhere.
The approach is fully implicit, unconditionally stable, and easily integrable into existing reservoir simulators.
Abstract
We present an adaptive space-time mesh refinement approach based a domain decomposition approach (Singh and Wheeler, 2018) that allows different time-step sizes and mesh refinements in different subdomains. Our numerical experiments indicate that non-linear solvers fail to converge, to the desired tolerance, due to large non-linear residuals in a smaller subdomain. We exploit this feature to identify subdomains where smaller time-step sizes are necessary while using large time-step sizes in the rest of the reservoir domain. The three key components of our approach are: (1) a space-time, enhanced velocity, domain decomposition approach that allows different mesh refinements and time-step sizes in different subdomains while preserving local mass conservation, (2) a residual based error estimator to identify or mark regions (or subdomains) that pose non-linear convergence issues, and (3) a…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Reservoir Engineering and Simulation Methods · Advanced Mathematical Modeling in Engineering
