Published September 25, 2024 | Version v1

LBPM Simulations

  • 1. ROR icon Shell (Netherlands)
  • 2. ROR icon Equinor (Norway)

Description

This data upload is part of a broader study that explores a wide range of simulations conducted using the LBPM simulation software (available at https://github.com/OPM). The dataset consists of extensive GPU-based LBM (Lattice Boltzmann Method) simulations for determining relative permeability and pore-scale morphologcial properties, representing one of the largest open-access datasets of its kind. The data are structured in CSV files and R scripts are available for post analysis.These simulations, provide critical insights into the influence of wettability, multiscale system upscaling, and ganglion dynamics on multiphase flow behavior.

The dataset is not only valuable for traditional analysis but also serves as a foundation for emerging techniques such as deep learning-assisted time-stepping, phase morphological generation, and predictive modeling of relative permeability and/or phase morphological evolution. By offering this comprehensive dataset to the porous media research community, we aim to foster broad collaboration and support innovative future research directions.

Files

Bentheimer I.zip

Files (429.3 MB)

Name Size
md5:b05d61582bf927a8bca7140da2eb43bc
21.5 MB Preview Download
md5:57544626e0b30f9429c7ba48ff2ac8f1
21.3 MB Preview Download
md5:5921246b97ee71bd2cefa57fc2f8e827
297.4 MB Preview Download
md5:11b755b8aef844b7fefb6c97ae270444
89.1 MB Preview Download

Additional details

Funding

Australian Research Council
Beyond Darcy’s Law: Influence of wettability on multiphase flow in rocks DP210102689
United States Department of Energy
e Oak Ridge Leadership Computing Facility, DOE Office of Science User Facility DE-AC05-00OR22725

Software

Repository URL
https://github.com/OPM/LBPM
Programming language
C++