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Machine Learning in Oil and Gas Industry

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Machine Learning and Flow Assurance in Oil and Gas Production

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Abstract

In the chapter, the use of machine learning in the oil and gas industry is briefly presented with emphases on the current trends in the oil and gas models. 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.

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Author information

Authors and Affiliations

  1. Department of Chemical and Bioprocess Engineering, University College Dublin (UCD), Dublin, Ireland

    Jai Krishna Sahith Sayani

  2. Chemical Engineering Department, Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar, Perak Darul Ridzuan, Malaysia

    Bhajan Lal

  3. Research Centre for CO2 Capture (RCCO2C), Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar Perak, Malaysia

    Bhajan Lal

Authors
  1. Jai Krishna Sahith Sayani
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  2. Bhajan Lal
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Corresponding author

Correspondence to Bhajan Lal .

Editor information

Editors and Affiliations

  1. Chemical Engineering Department, Universiti Teknologi Petronas, Seri Iskandar, Perak, Malaysia

    Bhajan Lal

  2. Chemical Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Malaysia

    Cornelius Borecho Bavoh

  3. Department of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Ireland

    Jai Krishna Sahith Sayani

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Sayani, J.K.S., Lal, B. (2023). Machine Learning in Oil and Gas Industry. In: Lal, B., Bavoh, C.B., Sahith Sayani, J.K. (eds) Machine Learning and Flow Assurance in Oil and Gas Production. Springer, Cham. https://doi.org/10.1007/978-3-031-24231-1_2

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  • DOI: https://doi.org/10.1007/978-3-031-24231-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24230-4

  • Online ISBN: 978-3-031-24231-1

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