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HPC Requirements of AI and Data Analytics for Exploration

Thursday, May 13, 2021

11:00 am - 12:00 pm

About the Event

This talk will give a brief overview of applications of artificial intelligence (AI), machine learning and data analytics (DA) methods for different exploration and production problems. We will focus on the HPC requirements (both in compute and memory intensive operations) applications in several areas, such as subsurface imaging and reservoir simulation. In addition, relevant topics such as Big Data, Soft Computing, Natural Language Processing, Man-Machine Interface and Deep Learning will be highlighted. Selected case histories from each of the main stages of the E&P process, namely exploration, drilling/development and production/EOR using AI-DA will be highlighted. The talk will conclude with introducing a new program at UH that focuses on Artificial Intelligence Machine Learning and Data Analytics for Energy Exploration and Production or AIM-DEEP. We will demonstrate the value proposition of AIM-DEEP based on its multi-disciplinary nature and its focus on the academic and industry alliance, complemented by government funding.


About the Speaker

Fred Aminzadeh is a professor of Petroleum Engineering at the University of Houston and director of its Artificial Intelligence Machine Learning and Data Analytics for Energy Exploration and Production (AIM-DEEP) program. He serves on the Advisory Board of DOE/NETL’s SMART Initiative. He is also president of FACT (

Aminzadeh has over 30 years of experience in industry and academia. His technical expertise includes: Machine Learning, AI, Pattern Recognition, Signal Processing, Big Data, 3D/4D Seismic, Reservoir Monitoring and CO2 Sequestration. He served as the president of the Society of Exploration
Geophysicists (2007-2008) and represented SEG at the Unconventional Resources Technology Advisory Committee (URTAC) and the SPE Reserves Evaluation Committee (SPPE). He is Fellow of IEEE, a Member of the Russian Academy of Natural Sciences, and an honorary member of Azerbaijan Oil Academy. He received Society of Exploration Geophysicists (SEG) Honorary Membership in 2018 and Society of Petroleum Engineers (SPE) Western Region Reservoir Characterization and Formation Evaluation Awards in 2014 and 2015.

He previously worked in technical and management positions, including as a professor of Petroleum and Electrical Engineering at the University of Southern California and executive director of its Global Energy Network ( and Reservoir Monitoring Consortium. He was manager of geophysical technology at Unocal (now Chevron). He was also president and CEO of dGB-USA ( and member of the technical staff at Bell Laboratories. He holds four U.S. patents, with another five pending. He has authored 15 books and over 400 publications spanning wide areas of expertise.


Martin Huarte Espinosa
Associate Director
HPE Data Science Institute