A combined deep learning and rock physics approach for effective reservoir prediction in high-mud-content sandstone: a case study of the Wenchang X-3 structure
Lifei Wang
This study addresses the persistent challenges of ambiguous oil-water relationships and poorly defined effective reservoir distribution in high-mud-content sandstone reservoirs of the III Oil Group (Zhujiang Formation, Member 1) within the Wenchang X-3 structure. Utilizing high-precision reprocessed 3D seismic data, we integrate detailed well-seismic calibration with sedimentary models to train a deep learning algorithm for the automatic identification of seismic facies characterized by “tidal s