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Intelligent Petroleum Engineering
Engineering, 2022 Data-driven approaches and artificial intelligence (AI) algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon.
Mohammad Ali Mirza +2 more
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Efficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering. [PDF]
PLoS One, 2018 Data assimilation is an important discipline in geosciences that aims to combine the information contents from both prior geophysical models and observational data (observations) to obtain improved model estimates.
Luo X, Bhakta T, Jakobsen M, Nævdal G.
europepmc +2 more sources
Will ChatGPT and Related AI-Tools alter the Future of the Geosciences and Petroleum Engineering? [PDF]
First Break, 2023 A key aim of this paper is to explore how our professional tasks as geoscientists and petroleum engineers can be completed more effectively making use of tools powered by Artificial Intelligence (AI), offered in commercial platforms now readily available
Ruud Weijermars +2 more
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UNIFICATION IN ENGINEERING EDUCATION AND THE PETROLEUM ENGINEER [PDF]
Proceedings of Fall Meeting of the Society of Petroleum Engineers of AIME, 1963 Publication Rights Reserved This paper was prepared for the 38th Annual Fall Meeting of the Society of Petroleum Engineers of AIME in New Orleans, La., on October 6–9, 1963, and is considered the property of the Society of Petroleum Engineers. Permission to published is hereby restricted to an abstract of not more than 300 words, with no
Richard Perrine
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Innovations for Petroleum Engineering Education [PDF]
Fall Meeting of the Society of Petroleum Engineers of AIME, 1970 This paper was prepared for the 45th Annual Fall Meeting of the Society of Petroleum Engineers of AIME, to be held in Houston Tex., Oct. 4–7, 1970. Permission to copy is restricted to an abstract of not more than 300 words. Illustrations may not be copied.
D.E. Menzie
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Magnetic Susceptibility of Petroleum Reservoir Crude Oils in Petroleum Engineering [PDF]
, 2012 Magnetic methods are prominent in the area of petroleum engineering and geoscience. They have clear advantages for use in the petroleum industry, including high resolution and rapidity of measurements, non-destructive analysis and cost-effectiveness (Ivakhnenko, 1999).
P. Oleksandr
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Environmental Science and Technology, 2016 The National Energy Technology Laboratory produced a well-to-wheels (WTW) life cycle greenhouse gas analysis of petroleum-based fuels consumed in the U.S. in 2005, known as the NETL 2005 Petroleum Baseline.
Gregory Cooney +5 more
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New frontiers in petroleum engineering
Journal of King Saud University: Engineering Sciences, 2016 Musaed N.J. Al-Awad
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Reservoir Modeling & Simulation: Advancements, Challenges, and Future Perspectives [PDF]
Journal of Chemical and Petroleum Engineering, 2023 Reservoir modeling and simulation play a pivotal role in the field of reservoir engineering, enabling efficient hydrocarbon recovery and reservoir management.
Yasin Khalili, Mohammad Ahmadi
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Prediction of Poisson's ratio for a petroleum engineering application: Machine learning methods. [PDF]
PLoS OneAlakbari FS +6 more
europepmc +2 more sources