Study on Logging Identification of Sandstone-Type Uranium Deposits Based on Ensemble Learning in the Songliao Basin in Northeast China

The sandstone-type uranium deposits located within the Songliao Basin of China, which are noted for their significant reserves and low mining costs, have become a primary focus for uranium exploration in the country. Accurate detection of such anomalies is essential for the exploration and assessment of uranium resources. Traditional logging identification methods face challenges, including low accuracy, slow recognition speeds, and limited generalization capabilities. With advancements in technology, artificial intelligence has introduced a novel research paradigm for identifying uranium deposits.