DEVELOPER BLOG

Cedric G. Fraces

Cedric Fraces holds a master's degree in and is currently a PhD candidate for energy resources engineering from Stanford University. His research entails the application of physics-informed deep learning to reservoir simulation. He is a reservoir engineer with over 14 years of experience in the energy industry working on major oilfields in the US, Canada, China, Iraq, Kuwait, Kazakhstan, Brazil, Mexico, and Colombia and he has been involved in executive decisions concerning the development and management of corresponding assets.

Posts by Cedric G. Fraces

AI / Deep Learning

Using Physics-Informed Deep Learning for Transport in Porous Media

Simulations are pervasive in every domain of science and engineering, but they are often constrained by large computational times, limited compute resources… 8 MIN READ