• DOI:10.1126/science.aar6859
• Corpus ID: 52131292

Global carbon intensity of crude oil production

@article{Masnadi2018GlobalCI,
  title={Global carbon intensity of crude oil production},
  author={Mohammad S. Masnadi and Hassan M. El-Houjeiri and Dominik Schunack and Yunpo Li and Jacob Englander and Alhassan Badahdah and Jean-Christophe Monfort and James E. Anderson and Timothy J. Wallington and Joule A. Bergerson and Deborah M. Gordon and Jonathan G. Koomey and Steven Victor Przesmitzki and In{\^e}s M. L. Azevedo and Xiaotao Tony Bi and J. Emmett Duffy and Garvin A. Heath and Gregory A. Keoleian and Christophe Mcglade and Daniel N. Meehan and Sonia Yeh and Fengqi You and Michael Q. Wang and Adam R. Brandt},
  journal={Science},
  year={2018},
  volume={361},
  pages={851 - 853}
}

• M. Masnadi, Hassan M. El-Houjeiri, +21 authors A. Brandt
• Published 31 August 2018
• Geology
• Science

New data enable targeted policy to lessen GHG emissions Producing, transporting, and refining crude oil into fuels such as gasoline and diesel accounts for ∼15 to 40% of the “well-to-wheels” life-cycle greenhouse gas (GHG) emissions of transport fuels (1). Reducing emissions from petroleum production is of particular importance, as current transport fleets are almost entirely dependent on liquid petroleum products, and many uses of petroleum have limited prospects for near-term substitution (e.g., air travel). Better understanding of crude oil GHG emissions can help to quantify the benefits of alternative fuels and identify the most cost-effective opportunities for oil-sector emissions reductions (2). Yet, while regulations are beginning to address petroleum sector GHG emissions (3–5), and private investors are beginning to consider climate-related risk in oil investments (6), such efforts have generally struggled with methodological and data challenges. First, no single method exists for measuring the carbon intensity (CI) of oils. Second, there is a lack of comprehensive geographically rich datasets that would allow evaluation and monitoring of life-cycle emissions from oils. We have previously worked to address the first challenge by developing open-source oil-sector CI modeling tools [OPGEE (7, 8), supplementary materials (SM) 1.1]. Here, we address the second challenge by using these tools to model well-to-refinery CI of all major active oil fields globally—and to identify major drivers of these emissions.