crossrefFuels2023-08-29Cited by 12
New Insights into Fracture Porosity Estimations Using Machine Learning and Advanced Logging Tools
Ghoulem Ifrene, Doina Irofti, Ruichong Ni, Sven Egenhoff, Prasad Pothana
Fracture porosity is crucial for storage and production efficiency in fractured tight reservoirs. Geophysical image logs using resistivity measurements have traditionally been used for fracture characterization. This study aims to develop a novel, hybrid machine-learning method t…