Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning

no code implementations • 21 Jul 2022 • Yusuf Nasir, Louis J. Durlofsky

In both cases, four assets with different well counts, well configurations, and geostatistical descriptions are considered.

Management reinforcement-learning +1

Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology

no code implementations • 24 Mar 2022 • Yusuf Nasir, Louis J. Durlofsky

The DRL-based methodology is shown to result in an NPV increase of 15% (for the 2D cases) and 33% (3D cases) relative to robust optimization over prior models, and to an average improvement of 4% in NPV relative to traditional CLRM.

Decision Making Management +1

Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow

no code implementations • 31 Mar 2021 • Yusuf Nasir, Jincong He, Chaoshun Hu, Shusei Tanaka, Kainan Wang, XianHuan Wen

The parameters that define the reservoir model, operational constraints, and economic conditions are randomly sampled from a defined range of applicability.

reinforcement-learning Reinforcement Learning (RL)

Deep Reinforcement Learning for Field Development Optimization

no code implementations • 5 Aug 2020 • Yusuf Nasir

The field development optimization (FDO) problem represents a challenging mixed-integer nonlinear programming (MINLP) problem in which we seek to obtain the number of wells, their type, location, and drilling sequence that maximizes an economic metric.

reinforcement-learning Reinforcement Learning (RL)