Neil Panchal, EngDShell
TitlePhysics or Data Science for Geoscience and PE Applications
AbstractIn this exciting era of deep data insight, collaboration among academia, technology developers, and enterprises to solve difficult problems can drive more value than ever before. This presentation will explore real world examples in Geoscience and PE where high performing teams of data scientists, subject matter experts, and engineers have developed next generation techniques merging first principles with analytics to unlock unprecedented insights. The talk will also summarize use cases and the different machine learning algorithms that have enabled progress in fields from self-driving cars to computational fluid dynamics.
Neilkunal received his Undergraduate degree in 2003 in Astrophysics from Peterhouse College at the University of Cambridge. Neil then went on to receive his Engineering Doctorate from the Department of Aerospace Sciences from Cranfield University in the UK on the topic of Trajectory Control Systems for Autonomous Vehicles. Neilkunal then went to work as an MWD, LWD and DD for Schlumberger Drilling and Measurements in the Manifia Field in Saudi Arabia. Neilkunal currently works for Shell as a Project Lead within Wells Engineering.