Reservoir Geomechanics: A Data-driven Approach

Reservoir geomechanics is a crucial aspect of optimising and developing oil gas activities, especially in maximising production. Recent technological advancements have revolutionised reservoir studies, including integrating data-driven approaches. This review examines integrates machine learning, data science, twin studies. The primary aim to identify the benefits, limitations, significant advancements, potential challenges, opportunities, research gaps approaches geomechanics. Additionally, this study aims create opportunities for further address these challenges. identifies cost-effectiveness, improved characterisation, reduced operational risks as benefits However, also highlights challenges approaches, such insufficient datasets, limited interpretability, transferability models. By shedding light on issues, provides foundation future toward finding solutions