Machine Learning in Oil and Gas Industry
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24231-1_2
Reference46 articles.
1. Lalude G (2015) Importance of oil to the global community. Glob J Human-Soc Sci F Polit Sci 15
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3. Anderson RN (2017) “Petroleum analytics learning machine” for optimizing the Internet of Things of today’s digital oil field-to-refinery petroleum system. In: Proceedings of the - 2017 IEEE International Conference Big Data, Big Data 2017 2018, pp 4542–4545
4. Temizel C, Canbaz CH, Palabiyik Y, Putra D, Asena A, Ranjith R, Jongkittinarukorn K (2019) A comprehensive review of smart/intelligent oilfield technologies and applications in the oil and gas industry. SPE Middle East Oil Gas Show Conf. https://doi.org/10.2118/195095-MS
5. Evans SJ (2019) How digital engineering and cross-industry knowledge transfer is reducing project execution risks in oil and gas. Offshore Technol Conf. https://doi.org/10.4043/29458-MS
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