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Estimating decades-long trends in petroleum field energy return on investment (EROI) with an engineering-based model

机译:使用基于工程的模型估算数十年的油田能源投资回报率(EROI)趋势

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摘要

This paper estimates changes in the energy return on investment (EROI) for five large petroleum fields over time using the Oil Production Greenhouse Gas Emissions Estimator (OPGEE). The modeled fields include Cantarell (Mexico), Forties (U.K.), Midway-Sunset (U.S.), Prudhoe Bay (U.S.), and Wilmington (U.S.). Data on field properties and production/processing parameters were obtained from a combination of government and technical literature sources. Key areas of uncertainty include details of the oil and gas surface processing schemes. We aim to explore how long-term trends in depletion at major petroleum fields change the effective energetic productivity of petroleum extraction. Four EROI ratios are estimated for each field as follows: The net energy ratio (NER) and external energy ratio (EER) are calculated, each using two measures of energy outputs, (1) oil-only and (2) all energy outputs. In all cases, engineering estimates of inputs are used rather than expenditure-based estimates (including off-site indirect energy use and embodied energy). All fields display significant declines in NER over the modeling period driven by a combination of (1) reduced petroleum production and (2) increased energy expenditures on recovery methods such as the injection of water, steam, or gas. The fields studied had NER reductions ranging from 46% to 88% over the modeling periods (accounting for all energy outputs). The reasons for declines in EROI differ by field. Midway-Sunset experienced a 5-fold increase in steam injected per barrel of oil produced. In contrast, Prudhoe Bay has experienced nearly a 30-fold increase in amount of gas processed and reinjected per unit of oil produced. In contrast, EER estimates are subject to greater variability and uncertainty due to the relatively small magnitude of external energy investments in most cases.
机译:本文使用石油生产温室气体排放估算器(OPGEE)估算了五个大型油田的能源投资回报率(EROI)随时间的变化。建模字段包括Cantarell(墨西哥),Forties(英国),Midway-Sunset(美国),Prudhoe Bay(美国)和Wilmington(美国)。有关田间特性和生产/加工参数的数据是从政府和技术文献来源中获得的。不确定性的关键领域包括石油和天然气表面处理方案的细节。我们的目的是探索主要油田的枯竭长期趋势如何改变石油开采的有效能量生产率。估算每个领域的四个EROI比率如下:计算净能量比(NER)和外部能量比(EER),分别使用两种能量输出量度,(1)仅石油和(2)所有能量输出。在所有情况下,都将使用投入的工程估算,而不是基于支出的估算(包括场外间接能源使用和具体能源)。在建模期间,所有字段均显示出NER的显着下降,这是由以下因素共同导致的:(1)石油产量减少和(2)采收水,蒸汽或天然气等采收方法的能源支出增加。在建模期间,所研究的油田的NER减少了46%至88%(占所有能量输出)。 EROI下降的原因因领域而异。每生产一桶石油,中途日落的注入蒸汽量增加5倍。相比之下,Prudhoe湾每生产一单位石油所产生的天然气处理量和再注入量增加了近30倍。相反,由于在大多数情况下外部能源投资的规模相对较小,因此EER估计值存在较大的可变性和不确定性。

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  • 期刊名称 other
  • 作者单位
  • 年(卷),期 -1(12),2
  • 年度 -1
  • 页码 e0171083
  • 总页数 27
  • 原文格式 PDF
  • 正文语种
  • 中图分类
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  • 入库时间 2022-08-21 11:10:30

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