Zhizeng Zhang

Research on automatic segmentation method of microseismic monitoring signal under low signal-to-noise ratio conditions

To address the issues of reduced microseismic signal detection accuracy and difficulty in identifying event boundaries under low signal-to-noise ratio conditions, we propose SEU-Net, an automatic microseismic signal segmentation model that integrates a Squeeze-and-Excitation (SE)...