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Poster
in
Workshop: Machine Learning and the Physical Sciences

A Multi-Survey Dataset and Benchmark for First Break Picking in Hard Rock Seismic Exploration

Pierre-Luc St-Charles · Joumana Ghosn


Abstract:

Seismic surveys are a valuable source of information for mineral exploration activities. We introduce a reflection seismic survey dataset acquired at four distinct hard rock mining sites to stimulate the development of new seismic data interpretation approaches. In particular, we provide annotations as well as a sound benchmarking methodology to evaluate the transferability of supervised first break picking solutions on our dataset. We train and evaluate a baseline solution based on a U-Net and discuss potential improvements to this approach.

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