AI Article Synopsis

  • - The transition to a new energy mix is increasing the demand for precise emissions reporting in the petroleum supply chain due to environmental regulations and the complexities of crude oil trading.
  • - Current assessments of carbon footprints lack detail and do not provide adequate traceability from oil wells to refineries, resulting in significant variability in carbon intensities.
  • - By using advanced data and algorithms, the study reveals a wide range of carbon emission intensities in crude trade pathways, highlighting that prioritizing low-carbon sources could save 1.5-6.1 Gigatons of CO-equivalent emissions by 2050 under climate-friendly scenarios.

Article Abstract

The energy mix transition has accelerated the need for more accurate emissions reporting throughout the petroleum supply chain. Despite increasing environmental regulations and pressure for emissions disclosure, the low resolution of existing carbon footprint assessment does not account for the complexity of crude oil trading. The lack of source crude traceability has led to poor visibility into the "well-to-refinery-entrance" carbon intensities at the level of granular pathways between producers and destination markets. Using high-fidelity datasets, optimization algorithms to facilitate supply chain traceability and bottom-up, physics-based emission estimators, we show that the variability in global "well-to-refinery-entrance" carbon intensities at the level of crude trade pathways is significant: 4.2-214.1 kg-CO-equivalent/barrel with a volume-weighted average of 50.5 kg-CO-equivalent/barrel. Coupled with oil supply forecasts under 1.5 °C scenarios up to 2050, this variability translates to additional CO-equivalent savings of 1.5-6.1 Gigatons that could be realized solely by prioritizing low-carbon supply chain pathways without other capital-intensive mitigation measures.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520038PMC
http://dx.doi.org/10.1038/s41467-023-41701-zDOI Listing

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