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Luigi Saputelli
Luigi Saputelli is a Reservoir Engineering Expert Advisor to the Abu Dhabi National Oil Company (ADNOC) and Frontender with over 29 years of experience. He has held various positio...mehr sehenLuigi Saputelli is a Reservoir Engineering Expert Advisor to the Abu Dhabi National Oil Company (ADNOC) and Frontender with over 29 years of experience. He has held various positions as reservoir engineer (integrated reservoir modeling, simulation, improved oil recovery projects, field development, researcher), drilling engineer (drilling and well planning projects, drilling rig automation) and production engineer (production modeling, engineering and operations workflow automation projects), in various operators and services companies around the world including PDVSA, Hess and Halliburton. Saputelli is an industry recognized researcher, invited lecturer, and an SPE liaison and committee member. Saputelli serves on the Society of Petroleum Engineers (SPE) JPT Editorial Committee as the data communication and management technology feature editor since 2012, on the SPE Production and Operations Advisory Board since 2010. He is a founding member of the SPE Real-time Optimization Technical Interest Group and the Petroleum Data-driven Analytics technical section. He is the recipient of the 2015 SPE International Production and Operations Award. He has published more than 90 industry papers on applied technologies related to digital oilfield, reservoir management, real-time optimization, and production operations. Saputelli holds a BSc in Electronic Engineer from Universidad Simon Bolivar (1990), with a MSc in Petroleum Engineering from Imperial College (1996), and a PhD in chemical engineering from University of Houston (2003). He is also serving as managing partner in Frontender, a petroleum engineering services firm based in Houston.weniger sehen
Bücher von Luigi Saputelli
Formulas and Calculations for Petroleum Engineering Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python Bewertung: 0 von 5 Sternen0 Bewertungen