Yuteng Jin

Yuteng Jin, SPE, holds a PhD degree in petroleum engineering from Texas A&M University. During his PhD research, he worked on the characterization and control problems on crack propagation and coalescence using reinforcement learning and machine-learning techniques.

  • This article presents the application of a reinforcement learning control framework based on the Deep Deterministic Policy Gradient. The crack propagation process is simulated in Abaqus, which is integrated with a reinforcement learning environment to control crack propagation in brittle material. The real-world deployment of the proposed control framework is also dis…