Lattice-Boltzmann for Porous Media: 100M+ GPU Hours

We present a comprehensive dataset of two-phase flow Lattice-Boltzmann simulations, generated using over 100 million GPU hours, covering a wide range of wetting conditions, capillary numbers, and porous geometries. While multiphase flow has traditionally been studied through laboratory experiments, the growing power of computational simulations provides a scalable and efficient alternative. Our simulations, validated against synchrotron beamline experiments, reveal key insights into the effects of wettability, ganglion dynamics, and flow behaviors that can be used to either substantiate current upscaling theories or develop new approaches. The dataset includes 50 relative permeability curves and over 25,000 distinct fluid configurations. Acquiring equivalent data through experiments would be impractical using current techniques, and the computational resources required far exceed those typically available without direct access to high-performance facilities. This open-access dataset enables broad collaboration within the porous media research community and offers a valuable foundation for future studies on pore-scale transport, relative permeability prediction, and data-driven modeling approaches.

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Publication Details

Journal
Scientific Data
Published
2026-03-17
DOI
https://doi.org/10.1038/s41597-026-06823-1
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.00
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Lattice-Boltzmann for Porous Media: 100M+ GPU Hours

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Scientific Data
Lattice Boltzmann Simulation Studies
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Lattice-Boltzmann for Porous Media: 100M+ GPU Hours

Omid Tavakkoli, Peyman Mostaghimi, Ryan T. Armstrong, Z. Li, Maja Rücker, T.A. Ramstad, Steffen Berg, Ying Da Wang, James McClure
article en

Abstract

We present a comprehensive dataset of two-phase flow Lattice-Boltzmann simulations, generated using over 100 million GPU hours, covering a wide range of wetting conditions, capillary numbers, and porous geometries. While multiphase flow has traditionally been studied through laboratory experiments, the growing power of computational simulations provides a scalable and efficient alternative. Our simulations, validated against synchrotron beamline experiments, reveal key insights into the effects of wettability, ganglion dynamics, and flow behaviors that can be used to either substantiate current upscaling theories or develop new approaches. The dataset includes 50 relative permeability curves and over 25,000 distinct fluid configurations. Acquiring equivalent data through experiments would be impractical using current techniques, and the computational resources required far exceed those typically available without direct access to high-performance facilities. This open-access dataset enables broad collaboration within the porous media research community and offers a valuable foundation for future studies on pore-scale transport, relative permeability prediction, and data-driven modeling approaches.

Scientific Data
Australian National University (AU), Norwegian University of Science and Technology (NO), UNSW Sydney (AU), Max Planck Institute for Polymer Research (DE), Mineral Resources (AU), Equinor (Norway) (NO), Shell (Netherlands) (NL), Eindhoven University of Technology (NL), Virginia Tech (US)
Openalex Percentile: Top 16%
Lattice Boltzmann Simulation Studies
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