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  <titleInfo>
    <title>Geological Genetic Analysis and Application of Oil and Gas Reservoirs</title>
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    <namePart>Chen, Huanqing.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>XIII, 233 p. 120 illus., 106 illus. in color. online resource.</extent>
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  <abstract>This book presents the research on geological genetic analysis of oil and gas reservoirs. It expounds on the methods, problems, and prospects of geological genetic analyses of oil and gas reservoirs, considering structures, reservoirs, and oil–gas–water (OGW) systems. Then, it explains the application of geological genetic analysis of oil and gas reservoirs with examples of volcanic rocks in the Songliao Basin, glutenites in the northwestern Junggar Basin, and sandstones in the Liaohe Basin. It is a valuable reference for researchers, engineers, and graduate students engaged in oil/gas exploration both from industrial and academic sectors.</abstract>
  <tableOfContents>1. Introduction -- 2. Geological Genetic Analysis of Structures -- 3. Geological Genetic Analysis of Reservoirs -- 4. Geological Genetic Analysis of OGW Systems -- 5 Application of Geological Genetic Analysis of Oil and Gas Reservoirs in Field Development.</tableOfContents>
  <note type="statement of responsibility">by Huanqing Chen.</note>
  <subject authority="lcsh">
    <topic>Geology</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Cogeneration of electric power and heat</topic>
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  <subject authority="lcsh">
    <topic>Fossil fuels</topic>
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  <subject authority="lcsh">
    <topic>Geophysics</topic>
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  <subject authority="lcsh">
    <topic>Geotechnical engineering</topic>
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  <subject>
    <topic>Geology</topic>
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  <subject>
    <topic>Fossil Fuel</topic>
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  <subject>
    <topic>Geophysics</topic>
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  <subject>
    <topic>Geotechnical Engineering and Applied Earth Sciences</topic>
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  <classification authority="lcc">QE1-996.5</classification>
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  <identifier type="isbn">9789819776283</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-7628-3</identifier>
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