[CCoE Notice] PETR SEMINAR SERIES-Friday, September 18, 2020

[Knudsen, Rachel W]

All PETR PhD and Master Thesis students are required to attend- attendance will be taken as lectures will be recorded.

You need to arrive at least by 10:55am for Dr. Qin to admit you to the lecture.



 All of the UH Petroleum Community is invited to attend our lectures series for Fall 2020 and Spring 2021



REMINDER from Dr. Soliman:

All in attendance- Be early to the presentation.

You are representing UH and helping to build our reputation.

Your alert attention to the presentation with insightful questions for our speaker will be welcome!







Dr. GUAN QIN, UH Petroleum Seminar Series Faculty Lead for Fall 2020- Spring 2021,   is inviting you to a scheduled Zoom meeting.

Join Zoom Meeting

https://urldefense.com/v3/__https://uofh.zoom.us/j/93455377396?pwd=OEYyc0psMnc0cWFENm1VK0dNNVZLUT09__;!!LkSTlj0I!WnXM40M7iCoPiWtIF_7VGeIucIa3x2q3otS3LMlv8UEVvhvihsTZoPVSdR3_oZVKlaQ$ <https://urldefense.com/v3/__https:/uofh.zoom.us/j/93455377396?pwd=OEYyc0psMnc0cWFENm1VK0dNNVZLUT09__;!!LkSTlj0I!RObg5MNMAwMu7fxZsTCrmk6cofUw2kGRq2HAehpCNAJqdMJJdu99uB01d5mTxQ$>



Time: September 18, 2020 11:00 AM Central Time (US and Canada)



Presenter:    Dr. Fred Aminzadeh



Topic: Artificial Intelligence, Machine Learning, and Data Analytics for Energy Exploration and Production (AIM-DEEP)



ABSTRACT



This talk will give a brief overview of the new research program at UH on the effective use of various artificial intelligence (AI), machine learning (ML) and data analytics (DA) methods for different exploration and production problems. Several topics such as big data, soft computing, natural language processing, man-machine interface and deep learning will be highlighted. Several examples of recent applications AI-ML-DA in different oil and gas related problems will be shown. Future opportunities for even more extensive use of AI-ML-DA in the E&P problems will be explored and the significant role of the new AIM-DEEP consortium will be highlighted. 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.



Please join me in welcoming Dr. Fred Aminzadeh to the University of Houston. Dr. Aminzadeh, previously with the University of Southern California, is launching a new consortium Artificial Intelligence, Data Analytics and Machine Learning for Energy Exploration and Development

(AIM-DEEP) at the Petroleum Engineering Department at the University of Houston. This is a chance to investigate ways to enhance your relationship with the UH PE department and investigate new ways to collaborate.



A lot of exciting new programs within the Petroleum Engineering Department are being lauded as a “model partnership between industry and academia” by the Business-Higher Education Forum, which cited the department’s dedication to addressing industry and workforce gaps by leveraging partnerships with companies operating in the sector”.





BIO





[usc-2011]Dr. Fred Aminzadeh is Professor of Petroleum Engineering at 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 (FACT-Corp.com)



Dr. Aminzadeh has over 30 years of experience in the industry and academia.  His technical expertise includes: Machine Learning, AI, Pattern Recognition, Signal Processing, Big Data, 3D/4D Seismic, Reservoir Monitoring, CO2 Sequestration, Reserves Evaluation and Microseismic. He served as the president of 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 Russian Academy of Natural Sciences, and 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 Professor of Petroleum and Electrical Engineering at University of Southern California (USC) and Executive Director of its Global Energy Network (gen.usc.edu) and Reservoir Monitoring Consortium. He was manager of geophysical technology at Unocal (now Chevron). He was also president and CEO of dGB-USA (dgbes.com) and member of technical staff at Bell Laboratories. He consulted at several National Laboratories including Lawrence Berkeley (LBNL), Lawrence Livermore (LLNL), Los Alamos (LANL), Oak Ridge (ORNL) and National Energy (NETL.)  He holds 4 US patents, with another 5 pending. He has authored 15 books and over 400 publications spanning wide areas.  He is also editor in chief of Journal of Sustainable Energy Engineering (JSEE).



Anne Sturm.

University of Houston . Cullen College of Engineering

Department of Petroleum Engineering. Academic Advisor

masturm at uh.edu<mailto:masturm at uh.edu>. 832.842.4848. petro.egr.uh.edu


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