An integrated unsupervised–supervised learning framework for enhanced petrophysical prediction

• Published in: Physics of fluids (1994) Vol. 37; no. 8
• Main Authors: Qiao, Lu, Yang, Shengyu, Liu, Xianglong, Wang, Xuyang, He, Jiayi, Hu, Qinhong, Zhou, Yuanzhen, He, Taohua
• Format: Journal Article
• Language: English
• Published: Melville American Institute of Physics 01.08.2025
• Subjects: Hydrocarbons; Machine learning; Organic carbon; Reservoirs; Supervised learning; Unsupervised learning

Well logging remains a cornerstone of hydrocarbon reservoir evaluation, yet conventional inversion techniques struggle to accurately characterize complex, heterogeneous formations. Although machine learning offers promising alternatives, our benchmarking of three dominant paradigms—single-model fram...