TY - JOUR
T1 - Global Carbon Intensity of Crude Oil Production
AU - Heath, Garvin
AU - Masnadi, Mohammad
AU - El -Houjeiri, Hassan
AU - Schunack, Dominik
AU - Li, Yunpo
AU - Englander, Jacob
AU - Badahdah, Alhassan
AU - Monfort, Jean-Christophe
AU - Anderson, James
AU - Wallington, Timothy
AU - Bergerson, Joule
AU - Gordon, Deborah
AU - Koomey, Jonathan
AU - Przesmitzki, Steven
AU - Azevedo, Ines
AU - Bi, Xiaotao
AU - Duffy, James
AU - Keoleian, Gregory
AU - McGlade, Christophe
AU - Meehan, D.
AU - Yeh, Sonia
AU - You, Fengqi
AU - Wang, Michael
AU - Brandt, Adam
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - crude oil
KW - GHG
KW - greenhouse gas emissions
KW - transport
UR - http://www.scopus.com/inward/record.url?scp=85052626288&partnerID=8YFLogxK
U2 - 10.1126/science.aar6859
DO - 10.1126/science.aar6859
M3 - Article
C2 - 30166477
AN - SCOPUS:85052626288
SN - 0036-8075
VL - 361
SP - 851
EP - 853
JO - Science
JF - Science
IS - 6405
ER -