Prediction of Formation Porosity from Well Log Data using Selected Machine Learning Algorithms
Akinsete O. Oluwatoyin, Adediran B. Azeez, Cleophas Joshua, Aderemi S. Bankole & Fadayomi A. Abosede · Current Journal of Applied Science and Technology · 2026
Formation porosity is a critical petrophysical parameter for reservoir characterization, hydrocarbon resource assessment, and field development planning. Traditional porosity estimation methods rely on expensive and time-consuming core acquisition and laboratory analysis, which p...
Open access
Research Article
10.9734/cjast/2026/v45i54694