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

Mohammad S. Masnadi (), Hassan M. El-Houjeiri, Dominik Schunack, Yunpo Li, Samori O. Roberts, Steven Przesmitzki, Adam R. Brandt and Michael Wang
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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

Nature Energy, 2018, vol. 3, issue 3, 220-226

Abstract: 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.

Date: 2018
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DOI: 10.1038/s41560-018-0090-7

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