About This Course

A self-paced e-learning course on using Python and machine learning to predict missing well logs and key petrophysical properties — including permeability, water saturation, FZI, lithology, and rock types. Covers regression, classification, clustering, neural networks, and deep learning, with practical projects on real well log and core datasets. No prior coding experience required.