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New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition

Author

Listed:
  • Daoyi Zhu

    (Faculty of Petroleum, China University of Petroleum-Beijing at Karamay, Karamay 834000, China)

Abstract

Oil, gas, and geothermal resources, including conventional fossil fuels (oil and natural gas) and unconventional resources (geothermal, shale gas, and tight oil), are key to meeting global energy demands [...]

Suggested Citation

  • Daoyi Zhu, 2025. "New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition," Energies, MDPI, vol. 18(18), pages 1-4, September.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:18:p:4789-:d:1745281
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    References listed on IDEAS

    as
    1. Wei Zhang & Zhilin Qi & Jie Tian & Fang Xu & Deyu Kong & Mingda Dong & Shenyao Yang & Wende Yan, 2024. "Influence of Reaction Conditions on the Yield of Supercritical Multicomponent Thermal Fluids," Energies, MDPI, vol. 17(19), pages 1-12, October.
    2. Qiang Fu & Jie Tian & Yongfei Liu & Zhilin Qi & Hongmei Jiao & Shenyao Yang, 2024. "Comparison of the Reaction Characteristics of Different Fuels in the Supercritical Multicomponent Thermal Fluid Generation Process," Energies, MDPI, vol. 17(21), pages 1-17, October.
    3. Haijie Zhang & Junwei Pu & Li Zhang & Hengjian Deng & Jihao Yu & Yingming Xie & Xiaochang Tong & Xiangjie Man & Zhonghua Liu, 2024. "Gas Production Prediction Model of Volcanic Reservoir Based on Data-Driven Method," Energies, MDPI, vol. 17(21), pages 1-13, October.
    4. Jie Tian & Shiwen Huang & Mingda Dong & Wende Yan & Zhilin Qi, 2024. "A Study on the Thermal Physical Property Changes in Formation Rocks during Rapid Preheating of SAGD," Energies, MDPI, vol. 17(15), pages 1-18, August.
    5. Chunlei Yu & Min Zhang & Wenbin Chen & Shiming Zhang & Shuoliang Wang, 2024. "A Microscopic Experimental Study on the Dominant Flow Channels of Water Flooding in Ultra-High Water Cut Reservoirs," Energies, MDPI, vol. 17(22), pages 1-16, November.
    6. Aoxue Zhang & Yanlong Zhao & Xuanxuan Li & Xu Fan & Xiaoqing Ren & Qingxia Li & Leishu Yue, 2024. "Development of a Hybrid AI Model for Fault Prediction in Rod Pumping System for Petroleum Well Production," Energies, MDPI, vol. 17(21), pages 1-15, October.
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