Machine learning-based permeability prediction for CO₂ storage: A case study from the Petrel Sub-basin, Australia

Geomechanics for Energy and the Environment 2026

View at publisher

Authors: Muhammad Faisal Waqar, Shengwen Qi, Songfeng Guo, Zan Wang, Bowen Zheng, Manawar Pervaiz

DOI: 10.1016/j.gete.2026.100867

Cited by: 1

References: 49

Fields of Study & Subjects

CO2 Sequestration and Geologic Interactions Hydrocarbon exploration and reservoir analysis Enhanced Oil Recovery Techniques

References 49