[HTML][HTML] A survey on the application of machine learning and metaheuristic algorithms for intelligent proxy modeling in reservoir simulation
Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
Effect of CO2 tax on energy use in oil production: waterflooding optimization under different emission costs
Tackling emissions from hydrocarbon production is a necessity because hydrocarbon
production will last for a prolonged time. As a popular hydrocarbon production method …
production will last for a prolonged time. As a popular hydrocarbon production method …
An automatic well planner for complex well trajectories
A data-driven automatic well planner procedure is implemented to develop complex well
trajectories by efficiently adapting to near-well reservoir properties and geometry. The …
trajectories by efficiently adapting to near-well reservoir properties and geometry. The …
Application of fast marching method and quality map to well trajectory optimization with a novel well parametrization
This paper proposes a novel parametrization technique for deviated and horizontal wells
and investigates the potential of combining the Fast Marching Method (FMM) with Particle …
and investigates the potential of combining the Fast Marching Method (FMM) with Particle …
[HTML][HTML] Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques
Well placement optimization refers to the identification of optimal locations for wells
(producers and injectors) to maximize net present value (NPV) and oil recovery. It is a …
(producers and injectors) to maximize net present value (NPV) and oil recovery. It is a …
[HTML][HTML] Reduced well path parameterization for optimization problems through machine learning
In this work we apply a recently developed machine learning routine for automatic well
planning to simplify well parameterization in reservoir simulation models. This reduced …
planning to simplify well parameterization in reservoir simulation models. This reduced …
[CITATION][C] Downhole Intelligence for Drilling Systems Using Supervised and Deep Reinforcement Learning Techniques
N Vishnumolakala - 2022