Earthquake Engineering Research Institute

Real-time multi-station microseismic event detection via transfer learning of computer vision deep learning model

Summary With the shale gas exploration and development into deep strata (> 3500 m in depth), weak signal detection becomes more challenging and vital in surface-based microseismic monitoring. Most existing deep learning approaches are trained on synthetic or single-station data,...

Cross-scale Data-Driven Heat Flow Prediction in the Ordos Basin and Adjacent Areas: An XGBoost Model with SHAP Interpretability

Summary Terrestrial heat flow is a fundamental parameter characterizing the thermal regime of sedimentary basins, but sparse and unevenly distributed measurements limit regional heat flow mapping. This study integrated cross-scale geological and geophysical features to compare XG...