Reservoir: Data Analytics Panel Discussion

Speaker: Dr. Hector Klie
Speaker Dr. Hector Klie
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 ...

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.

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Speaker: Dr. Shahab D. Mohaghegh
Speaker Dr. Shahab D. Mohaghegh
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 ...

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.

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Speaker: Dr. Sebastien Matringe
Speaker Dr. Sebastien Matringe
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 ...

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.

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“Data Analytics Panel Discussion”
The Reservoir Study Group welcomes you to participate in a panel discussion about the current use of data analytics and future trends in its application in the petroleum industry (or in reservoir engineering). We will have three industry experts presenting relevant material involving data analytics and then dive into a Q&A session between the panelists and the audience for the rest of the allotted time.
Organizer Alex Martinez

Contact information: Alex Martinez  adinorah.martinez@gmail.com


* Limited number of walk-ins - Please contact organizer if you are interested to be added on the waiting list *

MiT / Students / Retired SPE Members option is SOLD OUT


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When?

Tue, Feb. 14, 2017
11:30 a.m. - 1 p.m. US/Central

How Much?

A $5 donation for the SPE-GCS Scholarship Fund has automatically been added to the registration fee. Use OptOut in the Discount Code field if you do not wish to donate at this time.
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Where?

Sullivan's Steakhouse
4608 Westheimer Rd
Houston, Texas 77027
United States

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