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    Global Oil and Gas Resources: Potential and Distribution

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    Author(s)
    Dou, Lirong
    Wen, Zhixin
    Wang, Zhaoming
    Language
    English
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    Abstract
    This open access book presents the evaluation of undiscovered oil and gas resources and reserves growth in 468 basins around the world, as well as the potential of unconventional recoverable resources of seven types, including shale oil, heavy oil, oil sands, oil shale, shale gas, coalbed methane, and tight gas. The evaluation methods used are innovative, incorporating both conventional and unconventional oil and gas resources evaluation methods that utilize plays as the fundamental evaluation unit based on various exploration maturity levels. The evaluation results obtained independent intellectual property rights and provide an overview of the future exploration potential and prospects of different regions. It is a valuable reference for researchers, practitioners, and students involved in petroleum exploration.
    URI
    https://library.oapen.org/handle/20.500.12657/94641
    Keywords
    resource evaluation; unconventional oil and gas resources; shale gas; Global oil and gas bearing basins; Undiscovered oil and gas resource; conventional oil and gas resources; exploration potential of oil and gas; reserves growth; shale oil
    DOI
    10.1007/978-981-97-4756-6
    ISBN
    9789819747566, 9789819747559, 9789819747566
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Singapore, 2024
    Imprint
    Springer Nature Singapore
    Classification
    Geology, geomorphology and the lithosphere
    Fossil fuel technologies
    The environment
    Pages
    247
    Rights
    http://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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