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Research on geothermal development model of abandoned high temperature oil reservoir in North China oilfield

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  • Guo, Tiankui
  • Zhang, Yuelong
  • He, Jiayuan
  • Gong, Facheng
  • Chen, Ming
  • Liu, Xiaoqiang

Abstract

As a green, low-carbon and renewable energy, the geothermal energy has attracted great attentions. Abundant geothermal resources are hosted in several depleted oilfields. Geothermal development in abandoned oilfields has its advantages that operators are familiar with the geographic environment, geological conditions, and drilling and development techniques in the oilfield. In this study, a thermo-hydro- mechanical multi-field coupling mathematical model was established with data from Liubei Buried Hill reservoir in North China Oilfield. Then, the geothermal development in abandoned high-temperature oilfields was simulated, and the sensitivity of the geothermal development effect to well patterns, fracturing conditions, and working media was analyzed. The results show that the well pattern of one-injector and four-producer leads to the largest heat-exchange area. The hydraulic fracture model causes earlier thermal breakthrough but produces more heat than the non-fractured model. CO2 has the better working fluid performance and leads to the better geothermal development effect than water. This study provides a theoretical basis for the high-efficiency development of geothermal energy in abandoned oilfields, and a guidance for research on geothermal development model and fracturing design.

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  • Guo, Tiankui & Zhang, Yuelong & He, Jiayuan & Gong, Facheng & Chen, Ming & Liu, Xiaoqiang, 2021. "Research on geothermal development model of abandoned high temperature oil reservoir in North China oilfield," Renewable Energy, Elsevier, vol. 177(C), pages 1-12.
    • Handle: RePEc:eee:renene:v:177:y:2021:i:c:p:1-12
    DOI: 10.1016/j.renene.2021.05.128
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    2. Fengyuan Yan & Xiaolong Han & Qianwei Cheng & Yamin Yan & Qi Liao & Yongtu Liang, 2022. "Scenario-Based Comparative Analysis for Coupling Electricity and Hydrogen Storage in Clean Oilfield Energy Supply System," Energies, MDPI, vol. 15(6), pages 1-28, March.
    3. Wang, Jiacheng & Zhao, Zhihong & Liu, Guihong & Xu, Haoran, 2022. "A robust optimization approach of well placement for doublet in heterogeneous geothermal reservoirs using random forest technique and genetic algorithm," Energy, Elsevier, vol. 254(PC).
    4. Guo, Tiankui & Hao, Tong & Chen, Ming & Zhang, Yuelong & Qu, Zhanqing & Jia, Xuliang & Zhang, Wei & Yu, Haiyang, 2023. "Numerical simulation on Geothermal extraction by radial well assisted hydraulic fracturing," Renewable Energy, Elsevier, vol. 210(C), pages 440-450.
    5. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Wang, Ming, 2023. "Heat extraction performance evaluation of U-shaped well geothermal production system under different well-layout parameters and engineering schemes," Renewable Energy, Elsevier, vol. 203(C), pages 473-484.
    6. Xu, Fuqiang & Song, Xianzhi & Song, Guofeng & Ji, Jiayan & Song, Zihao & Shi, Yu & Lv, Zehao, 2023. "Numerical studies on heat extraction evaluation and multi-objective optimization of abandoned oil well patterns in intermittent operation mode," Energy, Elsevier, vol. 269(C).
    7. Aliyu, Musa D. & Finkbeiner, Thomas & Chen, Hua-Peng & Archer, Rosalind A., 2023. "A three-dimensional investigation of the thermoelastic effect in an enhanced geothermal system reservoir," Energy, Elsevier, vol. 262(PA).
    8. Pengying Wang & Shuo Zhang & Limei Chen, 2023. "Research on the Integration of a Natural Gas-Distributed Energy System into the Oilfield Facility in China," Sustainability, MDPI, vol. 15(4), pages 1-15, February.

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