Machine Learning Prediction of Cambrian Source Rock Quality With Calibrated Uncertainty: A Case Study From the Qiongzhusi Formation, Upper Yangtze Platform, South China
Predicting source rock quality from geochemical proxies is fundamental to shale gas exploration, yet conventional approaches provide point estimates without quantifying prediction confidence. We develop and validate ensemble machine learning models for predicting total organic carbon (TOC) and source rock quality a...