Artificial intelligence (AI) has been used for more than two decades as a development tool for solutions in several areas of the E&P industry: virtual sensing, production control and optimization, forecasting, and simulation, among many others. Nevertheless, AI applications have not been consolidated as standard solutions in the industry, and most common applications of AI still are case studies and pilot projects.
Dr. Saputelli is a petroleum engineer with 20+ years’ experience in reservoir engineering, field development, production engineering, drilling engineering, production operations and oilfield automation projects. He holds a PhD in Chemical Engineering (2003) from the University of Houston, a M.Sc. in Petroleum Engineering (1996) from Imperial College, London, and a B.Sc. in Electronic Engineering (1990) from Universidad Simon Bolivar, Caracas, Venezuela
He worked as Production Engineering Senior Advisor at Hess Corporation (2009-2012), Halliburton (2003-2009) where he acted as technical lead of various major projects such as Petrobras’ Barracuda-Caratinga fields Real Time Operations project (2005-2006), PDVSA integrated modeling and field exploitation plans for Carito and Orocual fields (2006-2007). Dr. Saputelli later acted as Production Operations Regional Practice Manager and Field Development Global Practice Manager for Halliburton; also worked in PDVSA E&P (1990-2001) and acted as a well planning senior advisor, production technologist, reservoir modeling and simulation engineer.
He has worked in various countries: Venezuela, Argentina, Brazil, Colombia, Saudi Arabia, Kuwait, Arab Emirates, Nigeria, Thailand, Malaysia, Indonesia, England, Scotland and USA. He is an industry recognized researcher, lecturer, SPE Liaison and member of various committees. He has published over 50 industry papers and has three patents on applied technologies for reservoir management, real time optimization and production operations. He is currently President of Frontender Corporation and engaged in various Digital Oilfield implementations.