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  <titleInfo>
    <title>Artificial intelligence and data analytics for exploration and production</title>
  </titleInfo>
  <name type="personal">
    <namePart>Aminzadeh, Fred.</namePart>
    <role>
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  <name type="personal">
    <namePart>Temizel, Cenk.</namePart>
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  <name type="personal">
    <namePart>Hajizadeh, Yasin.</namePart>
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    <place>
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    <publisher>John Wiley &amp; Sons</publisher>
    <dateIssued>2022</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>Focuses on applying Artificial Intelligence (AI) and Data Analytics in the oil &amp; gas industry, especially exploration and production (E&amp;P). Covers machine learning, deep learning, and data mining techniques used to improve efficiency and decision-making. Discusses how AI helps in: Seismic interpretation, Reservoir characterization, Drilling optimization, Production forecasting, Includes case studies from real-world oil &amp; gas projects.
• Emphasizes automation, predictive modeling, and risk reduction in E&amp;P operations.
• Bridges the gap between petroleum engineering and data science.
</abstract>
  <note type="statement of responsibility">Fred Aminzadeh , Cenk Temizel , Yasin Hajizadeh.</note>
  <subject>
    <topic>Petroleum</topic>
    <topic>Exploration and production</topic>
  </subject>
  <classification authority="ddc">622.182 AMA 2022</classification>
  <identifier type="isbn">9781119879695</identifier>
  <identifier type="isbn">9781119879893</identifier>
  <identifier type="isbn">9781119879886</identifier>
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