Seismic phase picking of coal mine microseismic data based on lightweight CNN
In coal mining, the high-noise underground environment poses significant challenges to the accuracy and stability of microseismic (MS) signal first-arrival picking. This study proposes a high-robustness automatic phase picking method based on a lightweight Convolutional Neural Network (CNN). The method uses...