Shi-Qi Peng

In Situ Stress Prediction Using Multiple Seismic Attributes Based on the Random Forest Algorithm

In situ stress characterisation is crucial for the exploration and development of coal resources. Conventional methods based on well‐log data offer high‐accuracy point measurements but are limited to wellbore locations, whereas traditional seismic‐based predictions provide extensive spatial coverage but have lower ac...