- SPE Energy Stream
- Data Driven Discovery of Physics for Reservoir Surveillance with Application to PTA
Data Driven Discovery of Physics for Reservoir Surveillance with Application to PTA
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Course Credit: 0.15 CEU, 1.5 PDH
This webinar covers how physics and data-driven methods can be merged in practical ways for automating reservoir surveillance with applications to pressure transient analysis.
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1 chapter
1 downloadable resource
Course Chapters
- 1Data Driven Discovery of Physics for Reservoir Surveillance with Application to PTA - Chapter 1Media Type: Video
Credits
Earn credits by completing this course0.15 CEU credit1.5 PDH creditsSpeakers
Sathish SankaranEVP – Engineering & Technology Xecta Digital LabsSathish Sankaran has over 20 years of diversified industry experience in technology development, consulting, project execution and management working on several international, deepwater, and US onshore projects. His areas of specialization include digital oilfield technologies, reservoir management, field development optimization, uncertainty analysis, production operations, and advanced process automation.
At Xecta Digital Labs, he leads an engineering team in the development of digital solutions for energy industry by fusing physics and data analytics methods for applications in reservoir, production, facilities, and downstream processes.
Sathish is a member of Society of Petroleum Engineers (SPE) and served in several roles including advisory positions, chairperson and committee member in industry initiatives, and authored industry reports on applications of data analytics in reservoir engineering.
He has a B.Eng. (Honors) degree in Chemical Engineering from Birla Institute of Technology and Science (BITS – Pilani, India), M.S degree in Chemical Engineering from University of Cincinnati and Ph.D. degree in Chemical Engineering from University of Houston.