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ICML 2026PosterAccept (regular)

SeisMark: A Large-Scale Open Benchmark for Robust 3D Seismic Fault Detection

Minjun Park, Joseph Stitt, Robert Clapp, Ilan Naiman, Artem Goncharuk, Kevin Smith

Google X · Google · Ben Gurion University · X, The Moonshot Factory (formerly Google X)

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摘要

We introduce SeisMark, a large-scale open benchmark designed to bridge the gap between verifiable ground truth and realistic texture in 3D seismic fault detection. Using a novel pipeline merging procedural geology with diffusion-based synthesis, we produce domain-realistic (survey-specific) textured volumes that expose significant brittleness in existing models masked by simplified physics data. Experiments demonstrate that SeisMark acts as a rigorous discriminator, distinguishing robust modern architecture from legacy model that suffers performance collapse under realistic domain shifts. We release this benchmark to the community to serve as a verifiable standard for developing trustworthy, deployment-ready AI for safety-critical subsurface applications.