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China's oil reserve forecast and analysis based on peak oil models

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Listed:
  • Feng, Lianyong
  • Li, Junchen
  • Pang, Xiongqi

Abstract

In order to forecast future oil production it is necessary to know the size of the reserves and use models. In this article, we use the typical Peak Oil models, the Hu-Chen-Zhang model usually called HCZ model and the Hubbert model, which have been used commonly for forecasting in China and the world, to forecast China's oil Ultimate Recovery (URR). The former appears to give more realistic results based on an URR for China of 15.64 billion tons. The study leads to some suggestions for new policies to meet the unfolding energy situation.

Suggested Citation

  • Feng, Lianyong & Li, Junchen & Pang, Xiongqi, 2008. "China's oil reserve forecast and analysis based on peak oil models," Energy Policy, Elsevier, vol. 36(11), pages 4149-4153, November.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:11:p:4149-4153
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    Citations

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    Cited by:

    1. Ma, Linwei & Liu, Pei & Fu, Feng & Li, Zheng & Ni, Weidou, 2011. "Integrated energy strategy for the sustainable development of China," Energy, Elsevier, vol. 36(2), pages 1143-1154.
    2. Fang, Jianchun & Lau, Chi Keung Marco & Lu, Zhou & Wu, Wanshan, 2018. "Estimating Peak uranium production in China – Based on a Stella model," Energy Policy, Elsevier, vol. 120(C), pages 250-258.
    3. Wang, Guoying & Liu, Shaowei & Yang, Dong & Fu, Mengxiong, 2022. "Numerical study on the in-situ pyrolysis process of steeply dipping oil shale deposits by injecting superheated water steam: A case study on Jimsar oil shale in Xinjiang, China," Energy, Elsevier, vol. 239(PC).
    4. Wang, Xibo & Lei, Yalin & Ge, Jianping & Wu, Sanmang, 2015. "Production forecast of China׳s rare earths based on the Generalized Weng model and policy recommendations," Resources Policy, Elsevier, vol. 43(C), pages 11-18.
    5. Ma, Linwei & Fu, Feng & Li, Zheng & Liu, Pei, 2012. "Oil development in China: Current status and future trends," Energy Policy, Elsevier, vol. 45(C), pages 43-53.
    6. de Castro, Carlos & Miguel, Luis Javier & Mediavilla, Margarita, 2009. "The role of non conventional oil in the attenuation of peak oil," Energy Policy, Elsevier, vol. 37(5), pages 1825-1833, May.
    7. Northey, S. & Mohr, S. & Mudd, G.M. & Weng, Z. & Giurco, D., 2014. "Modelling future copper ore grade decline based on a detailed assessment of copper resources and mining," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 190-201.
    8. Wang, Jianliang & Feng, Lianyong & Steve, Mohr & Tang, Xu & Gail, Tverberg E. & Mikael, Höök, 2015. "China's unconventional oil: A review of its resources and outlook for long-term production," Energy, Elsevier, vol. 82(C), pages 31-42.
    9. Xibo Wang & Mingtao Yao & Jiashuo Li & Kexue Zhang & He Zhu & Minsi Zheng, 2017. "China’s Rare Earths Production Forecasting and Sustainable Development Policy Implications," Sustainability, MDPI, vol. 9(6), pages 1-14, June.
    10. Wang, Ke & Feng, Lianyong & Wang, Jianliang & Xiong, Yi & Tverberg, Gail E., 2016. "An oil production forecast for China considering economic limits," Energy, Elsevier, vol. 113(C), pages 586-596.
    11. Vikström, Hanna & Davidsson, Simon & Höök, Mikael, 2013. "Lithium availability and future production outlooks," Applied Energy, Elsevier, vol. 110(C), pages 252-266.
    12. Juan Jin & Jiandong Liu & Weidong Jiang & Wei Cheng & Xiaowen Zhang, 2022. "Evolution of the Anisotropic Thermal Conductivity of Oil Shale with Temperature and Its Relationship with Anisotropic Pore Structure Evolution," Energies, MDPI, vol. 15(21), pages 1-16, October.
    13. Bo Xu & Lianyong Feng & William X. Wei & Yan Hu & Jianliang Wang, 2014. "A Preliminary Forecast of the Production Status of China’s Daqing Oil field from the Perspective of EROI," Sustainability, MDPI, vol. 6(11), pages 1-21, November.
    14. Ming Zhang & Qing Xia & Wenwen Wang & Min Zhou, 2014. "Study on temporal and spatial evolution of China’s oil supply and consumption," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 809-825, June.
    15. Zhao, Chunfu & Chen, Bin, 2014. "China’s oil security from the supply chain perspective: A review," Applied Energy, Elsevier, vol. 136(C), pages 269-279.

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