Osah, U., & Howell, J. (2023). Predicting oil field performance using machine learning programming: a comparative case study from the UK continental shelf. Petroleum Geoscience, 29(1), 1-11. https://doi.org/10.1144/petgeo2022-071
ISO-690 (author-date, English)OSAH, Ukari und HOWELL, John, 2023. Predicting oil field performance using machine learning programming: a comparative case study from the UK continental shelf. Petroleum Geoscience. 1 Februar 2023. Vol. 29, no. 1, p. 1-11. DOI 10.1144/petgeo2022-071.
Modern Language Association 9th editionOsah, U., und J. Howell. „Predicting Oil Field Performance Using Machine Learning Programming: A Comparative Case Study from the UK Continental Shelf.“. Petroleum Geoscience, Bd. 29, Nr. 1, Februar 2023, S. 1-11, https://doi.org/10.1144/petgeo2022-071.
Mohr Siebeck - Recht (Deutsch - Österreich)Osah, Ukari/Howell, John: Predicting oil field performance using machine learning programming: a comparative case study from the UK continental shelf., Petroleum Geoscience 2023, 1-11.
Emerald - HarvardOsah, U. und Howell, J. (2023), „Predicting oil field performance using machine learning programming: a comparative case study from the UK continental shelf.“, Petroleum Geoscience, Vol. 29 No. 1, S. 1-11.