中国P站

Abstract

Reservoir simulation is a fundamental process for understanding subsurface fluid flow, optimizing hydrocarbon recovery, and guiding field development. Recent advancements focus on integrating machine learning for accelerated simulations, handling geological complexities, and improving multiphase flow models. High-performance computing and advanced numerical methods are crucial for complex models. Research also addresses fractured and unconventional reservoirs, uncertainty quantification, enhanced oil recovery processes, and the integration of geological and geophysical data. Data assimilation techniques further refine models with production data.