MicroPhaseNO: Adapting an Earthquake-Trained Phase Neural Operator for Microseismic Phase Picking

This article describes the application of a neural operator, MicroPhaseNO, for microseismic phase picking. The model is adapted from one trained on earthquake data. The research likely focuses on improving the accuracy and efficiency of microseismic event detection, which is crucial for applications like hydraulic fracturing and geothermal energy.

• •Applies a neural operator (MicroPhaseNO) to microseismic phase picking.
• •MicroPhaseNO is adapted from a model trained on earthquake data.
• •Focuses on improving the accuracy and efficiency of microseismic event detection.