Deep Reinforcement Learning for Wells

During my Freshman year of college, I created a new method for analyzing 3D subsurface data to pre-plan well paths. I implemented multiple DRL frameworks, including the Advantage Actor-Critic (A2C) framework. Our agent found optimal paths by maximizing oil and minimizing cost. Code and more information about the project are available on my GitHub below.

GitHub - achandlr/DRL-for-Wells: Deep Reinforcement Learning for WellsDeep Reinforcement Learning for Wells. Contribute to achandlr/DRL-for-Wells development by creating an account on GitHub.