中国P站

Abstract

Reservoir characterization is crucial for oil and gas exploration, involving the integration of diverse geological, geophysical, and engineering data to build comprehensive reservoir models. Techniques like seismic interpretation, well log analysis, and core studies are employed, with advanced methods such as AI and machine learning enhancing prediction and uncertainty reduction. Understanding subsurface heterogeneity and integrating multi-physics data are key to optimizing hydrocarbon recovery. Stochastic modeling addresses geological uncertainty, while seismic attributes and 3D imaging improve subsurface visualization. Well log data and core analysis provide essential rock and fluid property insights. Reservoir simulation bridges static models with dynamic performance prediction, guiding efficient field development and production optimization