How can we leverage advances in physics-inspired machine learning for a step change in field development design?   How can they allow us to de-risk, accelerate planning cycles and make better decisions?  

In this talk, we discuss new applications of AI and how they can integrate with existing tools to give high-performance and high-confidence solutions.  A case study of field development for a CCS reservoir is discussed.