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Titlebook: Machine Learning and Flow Assurance in Oil and Gas Production; Bhajan Lal,Cornelius Borecho Bavoh,Jai Krishna Sah Book 2023 The Editor(s)

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樓主: 弄混
21#
發(fā)表于 2025-3-25 06:34:35 | 只看該作者
Machine Learning in Oil and Gas Industry,dels. Also, the use of machine learning in the oil and gas upstream is discussed with highlights on the recent advancement on the use of AI in the oil and gas industry. The challenges facing the application of machine learning in the oil and gas industry is also presented.
22#
發(fā)表于 2025-3-25 07:50:02 | 只看該作者
23#
發(fā)表于 2025-3-25 13:04:21 | 只看該作者
Machine Learning and Flow Assurance Issues,This chapter briefly discusses the main challenges facing the flow assurance related areas in the?oil and gas industry. It also provide simple fundamental definitions to machine learning vocabulary to introduce?to machine learning terms.
24#
發(fā)表于 2025-3-25 16:50:40 | 只看該作者
25#
發(fā)表于 2025-3-25 22:43:33 | 只看該作者
Machine Learning for Scale Deposition in Oil and Gas Industry,This chapter briefly discusses the type of machine learning methods used for scales precipitation in flow assurance. It also discussed the scale formation predictive models.
26#
發(fā)表于 2025-3-26 02:55:52 | 只看該作者
Machine Learning Application Guidelines in Flow Assurance,In this chapter guidelines for conducting an effective machine learning based prediction models in flow assurance areas is presented with much emphasis of data availability, data representation and model selection.
27#
發(fā)表于 2025-3-26 08:04:18 | 只看該作者
Machine Learning and Flow Assurance in Oil and Gas Production
28#
發(fā)表于 2025-3-26 08:44:20 | 只看該作者
29#
發(fā)表于 2025-3-26 13:44:10 | 只看該作者
pate, limit, and/or prevent flow assurance problems is recommended as the best and most suitable practice. The existing proposed flow assurance?models on hydrates, wax, asphaltenes, scale, and corrosion managem978-3-031-24233-5978-3-031-24231-1
30#
發(fā)表于 2025-3-26 17:18:41 | 只看該作者
Muhammad Saad Khan,Abinash Barooah,Bhajan Lal,Mohammad Azizur Rahman
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