Artificial Intelligence and Data Analytics for Energy Exploration and Production (eBook)
John Wiley & Sons (Verlag)
978-1-119-87987-9 (ISBN)
Fred Aminzadeh is an expert in artificial intelligence and energy. He was professor at the University of Houston and University of Southern California. He worked at dGB, Unocal (now part of Chevron) and Bell Laboratories. His work experience includes fossil energy, geothermal energy, and carbon sequestration. He served as the president of Society of Exploration Geophysicists. He has authored over 15 books and holds several patents. He was the editor in chief of The Journal of Sustainable Energy Engineering. Currently, he is president of FACT, an energy services company. He is also a member of technical advisory board of DOE/NETL's SMART initiative and an adjunct Professor at the University of Wyoming. Cenk Temizel is a Sr. Reservoir Engineer with Saudi Aramco. He has over 15 years of experience in reservoir simulation, data analytics, smart fields, unconventional, enhanced oil recovery with Aera Energy, Schlumberger, and Halliburton in the Middle East, the U.S., and the U.K. He is the recipient of the Aramco Unconventional Resources Technical Contribution Award (2020), 2nd place at SPE Global R&D Competition at ATCE 2014, and the Halliburton Applause Award in Innovation (2012). He holds an MS degree in Petroleum Engineering from University of Southern California and was a research assistant at Stanford University before joining the industry. Yasin Hajizadeh is the founder and CEO of nowos, a boutique Texas based technology consulting firm with a focus on software product management and workforce development planning for industry 4.0. Previously, he was a program and product manager of Azure ML and IoT at Microsoft. Yasin has also worked for Schlumberger as a data scientist and reservoir engineer, University of Calgary as an associate professor of computer science, and CMG as an optimization and uncertainty quantification scientist. He holds a PhD in petroleum engineering from Heriot-Watt University, and a Masters in technology management from Memorial University of Newfoundland.
Erscheint lt. Verlag | 26.8.2022 |
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Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
Schlagworte | Artificial Intelligence • Artificial lift • Bauingenieur- u. Bauwesen • Bayesian • Big Data • Civil Engineering & Construction • Computer Science • Data Analysis • data analytic • Data Mining • Data processing • Datenanalyse • Datenverarbeitung im Bauwesen • Deep learning • Drilling • Enhanced Oil Recovery • Flow Simulation • Formation Evaluation • Gas • Geophysics • human-computer interface • hybrid methods • Hydraulic Fracturing • Informatik • Künstliche Intelligenz • machine learnings • micro-seismic • natural language • Neural networks • Oil • pattern recognition • Permeability • Petroleum • Porosity • Production • reservoir • Reservoir Characterization • Reservoir Simulation • Statistics • Statistik • supervised learning • uncertainty quantification • Unsupervised Learning • Visualization |
ISBN-10 | 1-119-87987-6 / 1119879876 |
ISBN-13 | 978-1-119-87987-9 / 9781119879879 |
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