Synthetic Geology: Structural Geology Meets Deep Learning

Simon Ghyselincks, Valeriia Okhmak, Stefano Zampini, George Turkiyyah, David E. Keyes, Eldad Haber

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Synthetic geology, Generative flow matching, 3D subsurface models, geophysical inversions

TL;DR: Using a geological simulation engine we generate synthetic data and use them to train a generative flow-matching model. The resulting foundation model can reconstruct multiple plausible 3D scenarios from surface topography and sparse borehole data.

Confirmation Of Submission Requirements: I submit a previously published paper. It was published in an archival peer–reviewed venue on or after September 1st 2025, I specify the DOI in the field below, and I submit the camera-ready version of the paper.

DOI: https://doi.org/10.1029/2025JH000986

Submission Number: 397