A lightweight FNO classifier achieves 95% F1 on the STEAD dataset even with sparse training data and 98% F1 on real microseismic data, with substantially lower compute cost than typical deep learning models.
Cooling-induced reactivation of distant faults during long-term geothermal energy production in hot sedimentary aquifers
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Seismic event classification with a lightweight Fourier Neural Operator model
A lightweight FNO classifier achieves 95% F1 on the STEAD dataset even with sparse training data and 98% F1 on real microseismic data, with substantially lower compute cost than typical deep learning models.