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LUNDIsim: hexahedral mesh-based, open data geological models for compression in flow simulation benchmarks

Authors: Laurent Duval, Frédéric Payan, Christophe Preux, Lauriane Bouard

The volume of scientific data produced for and by numerical simulation workflows, particularly in geoscience, is increasing at an incredible rate. Among remedies, lossless and lossy compression techniques are becoming popular. Their assessment require open datasets shared under FAIR principles (Findable, Accessible, Interoperable, Reusable), with MRE (Minimal Reproducible Example) ancillary data for reuse. We share LUNDIsim, an exemplary faulted geological mesh. Enhanced by porosity/permeability datasets, the model four distinct subsurface environments. They are primarily designed for flow simulation in porous media. Several consistent resolutions are proposed for each model. We also provide a set of reservoir features for reproducing typical two-phase flow simulations on all LUNDIsim models in a reservoir engineering context. This dataset is chiefly meant for benchmarking data reduction (upscaling) or genuine mesh compression algorithms. It is also suitable for advanced mesh processing workflows in geology, from visualization to machine learning.

KEYWORDS: open data, scientific data compression, geology, volumic model mesh, flow simulation