气候变化领域集成服务门户(CCPortal): Energetic productivity dynamics of global super-giant oilfields

CCPortal

DOI	10.1039/c7ee01031a
	Energetic productivity dynamics of global super-giant oilfields
	Masnadi M.S.; Brandt A.R.
发表日期	2017
ISSN	17545692
起始页码	1493
结束页码	1504
卷号	10 期号:6
英文摘要	In addition to supplying fuels to society, the oil industry is a globally-significant consumer of energy. Oil sector energetic productivity-measured as output energy per unit of energy consumed-is a major driver of both industry economics and environmental impacts. Increasing climate change concerns necessitate detailed analysis of the energetic productivity of the oil sector. Using an engineering-based life cycle assessment (LCA) approach, we analyze decades-long historical trends of upstream oil production energy return on investment (EROI) for twenty-five globally significant oil fields (>1 billion barrels recoverable). The net energy ratio (NER) and external energy ratio (EER) are used as two measures of oil field energetic productivity. We find that as depletion causes declines in oil output, the associated energy returns decline significantly, with some fields seeing NER declines exceeding 90%. This decrease is caused by reservoir exhaustion forcing increased energy costs in recovery and processing. Probabilistic simulation allows us to generalize from our dataset: over 25 years, this model predicts ∼40% and ∼20% declines in NER and EER medians, respectively. We also derive a general relationship for projecting evolving NER and EER trends. These results have implications for long-run climate/energy system modeling due to potential large increases in extraction energy as global oilfields age. These effects may result in significant underestimation of future energy demand in the global oil sector in long-run integrated assessment models. Lastly, we perform sensitivity analysis examining implications of model assumptions about electricity provision, flare management, and transport. © The Royal Society of Chemistry 2017.
英文关键词	Climate change; Economics; Environmental impact; Life cycle; Oil fields; Productivity; Recovery; Sensitivity analysis; External energy; Historical trends; Integrated assessment models; Life Cycle Assessment (LCA); Model assumptions; Net energy ratios; Probabilistic simulation; System modeling; Investments; climate change; electricity generation; environmental economics; environmental impact; life cycle analysis; oil field; oil industry; oil production; reservoir; sensitivity analysis
语种	英语
来源期刊	Energy & Environmental Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/190474
作者单位	Department of Energy Resources Engineering, School of Earth, Energy and Environmental Sciences, Stanford University, Stanford, CA, United States
推荐引用方式 GB/T 7714	Masnadi M.S.,Brandt A.R.. Energetic productivity dynamics of global super-giant oilfields[J],2017,10(6).
APA	Masnadi M.S.,&Brandt A.R..(2017).Energetic productivity dynamics of global super-giant oilfields.Energy & Environmental Science,10(6).
MLA	Masnadi M.S.,et al."Energetic productivity dynamics of global super-giant oilfields".Energy & Environmental Science 10.6(2017).