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Well-to-refinery emissions and net-energy analysis of China’s crude-oil supply

Author

Listed:
  • Mohammad S. Masnadi

    (Stanford University)

  • Hassan M. El-Houjeiri

    (Aramco Services Company)

  • Dominik Schunack

    (Stanford University)

  • Yunpo Li

    (Stanford University)

  • Samori O. Roberts

    (Morehouse College)

  • Steven Przesmitzki

    (Aramco Services Company)

  • Adam R. Brandt

    (Stanford University)

  • Michael Wang

    (Argonne National Laboratory)

Abstract

Oil is China’s second-largest energy source, so it is essential to understand the country’s greenhouse gas emissions from crude-oil production. Chinese crude supply is sourced from numerous major global petroleum producers. Here, we use a per-barrel well-to-refinery life-cycle analysis model with data derived from hundreds of public and commercial sources to model the Chinese crude mix and the upstream carbon intensities and energetic productivity of China’s crude supply. We generate a carbon-denominated supply curve representing Chinese crude-oil supply from 146 oilfields in 20 countries. The selected fields are estimated to emit between ~1.5 and 46.9 g CO2eq MJ−1 of oil, with volume-weighted average emissions of 8.4 g CO2eq MJ−1. These estimates are higher than some existing databases, illustrating the importance of bottom-up models to support life-cycle analysis databases. This study provides quantitative insight into China’s energy policy and the economic and environmental implications of China’s oil consumption.

Suggested Citation

  • Mohammad S. Masnadi & Hassan M. El-Houjeiri & Dominik Schunack & Yunpo Li & Samori O. Roberts & Steven Przesmitzki & Adam R. Brandt & Michael Wang, 2018. "Well-to-refinery emissions and net-energy analysis of China’s crude-oil supply," Nature Energy, Nature, vol. 3(3), pages 220-226, March.
    • Handle: RePEc:nat:natene:v:3:y:2018:i:3:d:10.1038_s41560-018-0090-7
    DOI: 10.1038/s41560-018-0090-7
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    Cited by:

    1. Sapkota, Krishna & Gemechu, Eskinder & Oni, Abayomi Olufemi & Ma, Linwei & Kumar, Amit, 2022. "Greenhouse gas emissions from Canadian oil sands supply chains to China," Energy, Elsevier, vol. 251(C).
    2. Zhao, Shujie & Song, Qingbin & Zhao, Dongfeng & Wang, Yongqiang, 2023. "Identifying the spatiotemporal carbon footprint of the petroleum refining industry and its mitigation potential in China," Energy, Elsevier, vol. 284(C).
    3. Liu, Yang & Zhang, Congrui & Xu, Xiaochuan & Ge, Yongxiang & Ren, Gaofeng, 2022. "Assessment of energy conservation potential and cost in open-pit metal mines: Bottom-up approach integrated energy conservation supply curve and ultimate pit limit," Energy Policy, Elsevier, vol. 163(C).
    4. Manfroni, Michele & Bukkens, Sandra G.F. & Giampietro, Mario, 2022. "Securing fuel demand with unconventional oils: A metabolic perspective," Energy, Elsevier, vol. 261(PB).

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