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Published June 1, 2024 | Published
Journal Article Open

Accelerated computational micromechanics for solute transport in porous media

  • 1. ROR icon California Institute of Technology

Abstract

Reactive transport in permeable porous media is relevant for a variety of applications, but poses a significant challenge due to the range of length and time scales. Multiscale methods that aim to link microstructure with the macroscopic response of geo-materials have been developed, but require the repeated solution of the small-scale problem and provide the motivation for this work. We present an efficient computational method to study fluid flow and solute transport problems in periodic porous media. Fluid flow is governed by the Stokes equation, and the solute transport is governed by the advection–diffusion equation. We follow the accelerated computational micromechanics approach that leads to an iterative computational method where each step is either local or the solution of a Poisson’s equation. This enables us to implement these methods on accelerators like graphics processing units (GPUs) and exploit their massively parallel architecture. We verify the approach by comparing the results against established computational methods and then demonstrate the accuracy, efficacy, and performance by studying various examples. This method efficiently calculates the effective transport properties for complex pore geometries.

    Copyright and License

    © 2024 Elsevier.

    Acknowledgement

    We gratefully acknowledge the financial support of the Resnick Sustainability Institute at the California Institute of Technology. KB also acknowledges the support of the Army Research Office, United States through grant number W911NF-22-1-0269. The simulations reported here were conducted on the Resnick High Performance Computing Cluster at the California Institute of Technology.

    Contributions

    Mina Karimi: Writing – review & editing, Writing – original draft, Visualization, Validation, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Kaushik Bhattacharya: Writing – review & editing, Writing – original draft, Visualization, Supervision, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal analysis, Conceptualization.

    Data Availability

    Data will be made available on request.

    Conflict of Interest

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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    Additional details

    Created:
    May 30, 2024
    Modified:
    May 30, 2024