将精灵放回瓶中：利用直接空气捕获和强化采油技术实现石油脱碳

IF 4.6 3区工程技术 Q2 ENERGY & FUELS International Journal of Greenhouse Gas Control Pub Date : 2024-11-14 DOI:10.1016/j.ijggc.2024.104281

Jayant Singh , Udayan Singh , Gonzalo Rodriguez Garcia , Vikram Vishal , Robert Anex

{"title":"将精灵放回瓶中：利用直接空气捕获和强化采油技术实现石油脱碳","authors":"Jayant Singh , Udayan Singh , Gonzalo Rodriguez Garcia , Vikram Vishal , Robert Anex","doi":"10.1016/j.ijggc.2024.104281","DOIUrl":null,"url":null,"abstract":"<div><div>This study reports the cradle-to-wheel life cycle greenhouse gas (GHG) emissions resulting from enhanced oil recovery (EOR) using CO<sub>2</sub> sourced from direct air capture (DAC). A Monte Carlo simulation model representing variability in technology, location, and supply chain is used to model the possible range of carbon intensities (CI) of oil produced through DAC-EOR. Crude oil produced through DAC-EOR is expected to have a CI of 449 tCO<sub>2</sub>/mbbl. With 95% confidence, the CI is between 345 tCO<sub>2</sub>/mbbl to 553 tCO<sub>2</sub>/mbbl. Producing net-zero GHG emission oil through DAC-EOR is thus highly improbable. An example case of DAC-EOR in the U.S. Permian Basin shows that only in the unlikely instance of the most storage efficient sites using 100% renewable energy does DAC-EOR result in “carbon-negative” oil production.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"139 ","pages":"Article 104281"},"PeriodicalIF":4.6000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Putting the genie back in the bottle: Decarbonizing petroleum with direct air capture and enhanced oil recovery\",\"authors\":\"Jayant Singh , Udayan Singh , Gonzalo Rodriguez Garcia , Vikram Vishal , Robert Anex\",\"doi\":\"10.1016/j.ijggc.2024.104281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study reports the cradle-to-wheel life cycle greenhouse gas (GHG) emissions resulting from enhanced oil recovery (EOR) using CO<sub>2</sub> sourced from direct air capture (DAC). A Monte Carlo simulation model representing variability in technology, location, and supply chain is used to model the possible range of carbon intensities (CI) of oil produced through DAC-EOR. Crude oil produced through DAC-EOR is expected to have a CI of 449 tCO<sub>2</sub>/mbbl. With 95% confidence, the CI is between 345 tCO<sub>2</sub>/mbbl to 553 tCO<sub>2</sub>/mbbl. Producing net-zero GHG emission oil through DAC-EOR is thus highly improbable. An example case of DAC-EOR in the U.S. Permian Basin shows that only in the unlikely instance of the most storage efficient sites using 100% renewable energy does DAC-EOR result in “carbon-negative” oil production.</div></div>\",\"PeriodicalId\":334,\"journal\":{\"name\":\"International Journal of Greenhouse Gas Control\",\"volume\":\"139 \",\"pages\":\"Article 104281\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Greenhouse Gas Control\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S175058362400224X\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Greenhouse Gas Control","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S175058362400224X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}

引用次数: 0

摘要

本研究报告了利用直接空气捕集（DAC）获得的二氧化碳提高石油采收率（EOR）所产生的从摇篮到车轮的生命周期温室气体（GHG）排放量。研究采用蒙特卡洛模拟模型（Monte Carlo simulation model）来模拟通过 DAC-EOR 生产的石油的碳强度 (CI) 的可能范围，该模型代表了技术、地点和供应链的可变性。通过 DAC-EOR 生产的原油的 CI 预计为 449 吨 CO2/桶。在 95% 的置信度下，CI 介于 345 吨 CO2/mbbl 到 553 吨 CO2/mbbl 之间。因此，通过 DAC-EOR 生产净温室气体零排放石油的可能性极低。美国二叠纪盆地的一个 DAC-EOR 案例表明，只有在不太可能的情况下，在使用 100% 可再生能源的存储效率最高的地点，DAC-EOR 才能实现 "负碳 "石油生产。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

摘要图片

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Putting the genie back in the bottle: Decarbonizing petroleum with direct air capture and enhanced oil recovery

This study reports the cradle-to-wheel life cycle greenhouse gas (GHG) emissions resulting from enhanced oil recovery (EOR) using CO₂ sourced from direct air capture (DAC). A Monte Carlo simulation model representing variability in technology, location, and supply chain is used to model the possible range of carbon intensities (CI) of oil produced through DAC-EOR. Crude oil produced through DAC-EOR is expected to have a CI of 449 tCO₂/mbbl. With 95% confidence, the CI is between 345 tCO₂/mbbl to 553 tCO₂/mbbl. Producing net-zero GHG emission oil through DAC-EOR is thus highly improbable. An example case of DAC-EOR in the U.S. Permian Basin shows that only in the unlikely instance of the most storage efficient sites using 100% renewable energy does DAC-EOR result in “carbon-negative” oil production.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Journal of Greenhouse Gas Control 环境科学-工程：环境

CiteScore

9.20

自引率

10.30%

发文量

199

审稿时长

4.8 months

期刊介绍： The International Journal of Greenhouse Gas Control is a peer reviewed journal focusing on scientific and engineering developments in greenhouse gas control through capture and storage at large stationary emitters in the power sector and in other major resource, manufacturing and production industries. The Journal covers all greenhouse gas emissions within the power and industrial sectors, and comprises both technical and non-technical related literature in one volume. Original research, review and comments papers are included.