The spatiotemporal evolution of fluid-induced microearthquakes can be accurately forecasted using a transformer-based deep learning approach trained on hydraulic stimulation and microseismic history from the EGS Collab field experiment.
- Jaehong Chung
- Michael Manga
- Mengsu Hu