10 Reservoir IV
Wednesday, 17 April
Bjørnson
Technical
Successful hydrocarbon recovery optimisation rests on our ability to maximize remaining resources potential, identify profitable targets, optimize and design well locations for efficient reservoir drainage. The session will focus on advancements in pore and reservoir scale numerical simulation of complex physical phenomena of multiphase flow, CO2 flow and full field reservoir drainage. Development of novel workflow, methodology and solutions require exploration of novel approaches that involve generally available and physics-informed ML models. The authors collectively offer a multidimensional perspective on the evolving landscape of reservoir engineering and numerical simulation. The integration of advanced computational methods and data-driven insights showcased in this session paints a compelling picture of the future trajectory of reservoir management.
-
1630-1700 218427Workflow for Direct Pore-scale Simulation of Relative Permeability and Capillary Pressure Curves with Hysteresis at Low Capillary Numbers
-
1700-1730 218441Data-Driven Predictions of CO2 EOR Numerical Studies Using Machine Learning in An Open-Source Framework
-
1730-1800 218429Bypassed Oil Identification and Infill Optimization by a Physics-guided Data-driven Workflow: A North Sea Case Study