Reservoir engineering is entering a transformative era defined by the triad of characterization, prediction, and performance optimization. Advances in subsurface imaging, data analytics, and machine learning are enabling unprecedented levels of reservoir characterization, integrating geological, and petrophysical data into unified models. This session will address a broad spectrum of advanced reservoir engineering topics, including methodologies for identifying formation water in water-based mud wells, the use of generative AI in facies modeling, low-salinity waterflooding in carbonate reservoirs, reservoir property modeling in ultra-thin interbedded sand–shale sequences, and high-resolution reservoir characterization illustrated through case studies from Myanmar and Ecuador.