Authors:
- Supports reservoir engineers to create adequate geological and hydrodynamic models
- Presents some novel mechanisms of artificial intelligence applied to petroleum exploration, development and production
- Describes simulation and forecasting petroleum reservoir processes
Part of the book series: Advances in Oil and Gas Exploration & Production (AOGEP)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Center for Hydrocarbon Recovery, Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia
Stanislav Ursegov
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Cervart Ltd., Moscow, Russia
Armen Zakharian
About the authors
Armen Zakharian is of Armenian descent, although he was born in the Krasnoyarsk region of Siberia in Russia in 1951. In 1977, he graduated from the Moscow Petroleum University named after I.M. Gubkin with a mining engineer degree in Geology and Exploration of Oil and Gas Fields, and, in 1985, he defended his PhD in Petroleum Geology at the Moscow State University named after M.V.Lomonosov. He worked as a field geologist for fourteen years in Yakutia, Far East, and Ukraine. Then, in 1996, he started programming and mathematical modeling of petroleum reservoir development processes. He created three applied software systems ArmGeologist, Delphor, and Cervart, which are successfully used in different petroleum companies and institutions such as LUKOIL, TNK-BP (now it is a part of Rosneft) and others. His main scientific interests is computer forecasting. He is an author of more than ten peer review journal articles. Armen got married and has two daughters.
Bibliographic Information
Book Title: Adaptive Approach to Petroleum Reservoir Simulation
Authors: Stanislav Ursegov, Armen Zakharian
Series Title: Advances in Oil and Gas Exploration & Production
DOI: https://doi.org/10.1007/978-3-030-67474-8
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-67473-1Published: 01 February 2021
Softcover ISBN: 978-3-030-67476-2Published: 02 February 2022
eBook ISBN: 978-3-030-67474-8Published: 31 January 2021
Series ISSN: 2509-372X
Series E-ISSN: 2509-3738
Edition Number: 1
Number of Pages: IX, 86
Number of Illustrations: 3 b/w illustrations, 44 illustrations in colour
Topics: Geotechnical Engineering & Applied Earth Sciences, Geoengineering, Foundations, Hydraulics, Geophysics/Geodesy