Dr. Hector Klie currently holds the position of Data Science Department Lead at Sanchez Oil & Gas Corporation since March of 2016. He leads the technical development of advanced analytics and machine learning solutions aiming at unlocking novel business opportunities, reducing costs and maximizing production in unconventional reservoirs. Before joining his current position, Dr. Klie worked as Staff Reservoir Engineer and Data Scientist at ConocoPhillips (2008-2016). He has made valuable contributions in the areas of sparse linear solvers, stochastic optimization, uncertainty quantification, high performance computing, reduced order modeling and data-driven modeling.  

Dr. Klie completed his Ph.D. in Computational Science and Engineering at the Dept. of Computational and Applied Mathematics at Rice University in 1996 and a Master Degree in Computer Science at the Simon Bolivar University, Venezuela, 1991.

Dr. Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Data Mining in the Exploration and Production industry. He holds B.S., M.S., and Ph.D. degrees in petroleum and natural gas engineering and has authored more than 170 technical papers and carried out more than 60 projects for NOCs and IOCs. He is a SPE Distinguished Lecturer and has been featured in the Distinguished Author Series of SPE’s Journal of Petroleum Technology (JPT) four times. He is the founder of Petroleum Data-Driven Analytics, SPE’s Technical Section dedicated to machine learning and data mining. He has been honored by the U.S. Secretary of Energy for his technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico and was a member of U.S.

Dr. Sébastien Matringe is currently the Vice-President of Technology at QRI. His group is focused on creating new quantitative reservoir management technologies and takes an open-minded approach to problem-solving, using a variety of solutions from the purely data-driven to the heavily physics-based. Mr. Matringe is a Reservoir Engineer by training and has worked on a number of fields worldwide. Prior to joining QRI, Dr. Matringe was a reservoir simulation engineer with Chevron, where he worked on several field developments in Angola, Iraq, Nigeria, and the Saudi Arabia-Kuwait Partitioned Zone. Dr. Matringe holds a diplôme d’ingénieur in Fluid Mechanics from ENSEEIHT and an MSc and PhD in Petroleum Engineering from Stanford University. During his graduate studies, he focused on Reservoir Simulation research and worked with the R&D teams of Stanford, Chevron, ExxonMobil, ConocoPhillips, MIT and UC Berkeley. The current focus of his team is on finding faster and more robust solutions to classical Reservoir Management problems, that quest often leads them to experiment with machine learning and data mining solutions.