He 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 US 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 US Secretary of Energy’s Technical Advisory Committee on Unconventional Resources (2008-2014). He represented the United States in the International Standard Organization (ISO) on Carbon Capture and Storage (2014-2016).
Chapter 3: Reservoir Modeling
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Published:2017
"Reservoir Modeling", Data-Driven Reservoir Modeling, Shahab D. Mohaghegh
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Development of numerical reservoir simulation was a necessary response to an ever-growing understanding of the complexities associated with oil and gas production from hydrocarbon reservoirs. Although it had a modest beginning in terms of size and detail, it enjoyed reasonably fast growth. The computational requirements of numerical reservoir simulation made it a good candidate for mainframe computers and later for UNIX15-based systems. It was not until the mid-1990s to the late 1990s that a considerable increase in computational power of personal computers (PCs) opened new doors in the numerical reservoir simulation industry. Major vendors of reservoir simulators started deploying their software applications on PCs, and since that time use of mainframes and UNIX-based systems has been all but abandoned, and almost all the commercially available simulators are now PC-based.
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