Numerical simulation of CO2 geological sequestration and CO2‐ECBM in coal beds of Longtan Formation, Xiangzhong Depression, Hunan Province, China

IF 2.7 4区 环境科学与生态学 Q3 ENERGY & FUELS
Mingjun Zou, Zibin Ding, Yiyi Cheng, Linlin Yao, Yue Sun, Keying Wang
{"title":"Numerical simulation of CO2 geological sequestration and CO2‐ECBM in coal beds of Longtan Formation, Xiangzhong Depression, Hunan Province, China","authors":"Mingjun Zou, Zibin Ding, Yiyi Cheng, Linlin Yao, Yue Sun, Keying Wang","doi":"10.1002/ghg.2296","DOIUrl":null,"url":null,"abstract":"Geological sequestration of carbon dioxide (CO2) is an effective method to reduce greenhouse gases and an important technology for carbon neutralization. Among all geological sequestration sites, coal reservoirs are potentially effective and practicable. The Xiangzhong Depression of Hunan Province of China is selected as the research area, and the coal seam of Longtan Formation is the target reservoir in this paper. CO2‐enhanced coalbed methane (CO2‐ECBM) and CO2 sequestration capacity are both simulated according to the laboratory experiments on reservoir parameters. During simulation, four production wells and one injection well were designed, and the simulation process can be divided into two stages: CO2‐ECBM and CO2 geological storage. The CO2‐ECBM stage refers to CO2 injection for increasing methane production, and the CO2 geological storage stage aims to predict the CO2 sequestration capacity. After that, sensitivity analyses of sequestration effect are carried out. During the simulation, when maintaining a constant pressure injection of CO2 under the original conditions of 0.01 mD permeability, 9% porosity, and 1.47 MPa reservoir methane pressure, the total storage amount is only 0.14 × 106 m3. However, the storage amount increases significantly to 6.62 × 106 m3 if the permeability increases to 1.5 mD. Orthogonal simulation indicates that permeability has the greatest impact on CO2 sequestration. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Greenhouse Gases: Science and Technology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1002/ghg.2296","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Geological sequestration of carbon dioxide (CO2) is an effective method to reduce greenhouse gases and an important technology for carbon neutralization. Among all geological sequestration sites, coal reservoirs are potentially effective and practicable. The Xiangzhong Depression of Hunan Province of China is selected as the research area, and the coal seam of Longtan Formation is the target reservoir in this paper. CO2‐enhanced coalbed methane (CO2‐ECBM) and CO2 sequestration capacity are both simulated according to the laboratory experiments on reservoir parameters. During simulation, four production wells and one injection well were designed, and the simulation process can be divided into two stages: CO2‐ECBM and CO2 geological storage. The CO2‐ECBM stage refers to CO2 injection for increasing methane production, and the CO2 geological storage stage aims to predict the CO2 sequestration capacity. After that, sensitivity analyses of sequestration effect are carried out. During the simulation, when maintaining a constant pressure injection of CO2 under the original conditions of 0.01 mD permeability, 9% porosity, and 1.47 MPa reservoir methane pressure, the total storage amount is only 0.14 × 106 m3. However, the storage amount increases significantly to 6.62 × 106 m3 if the permeability increases to 1.5 mD. Orthogonal simulation indicates that permeability has the greatest impact on CO2 sequestration. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.
中国湖南省湘中凹陷龙潭地层煤层二氧化碳地质封存和二氧化碳-ECBM数值模拟
二氧化碳(CO2)的地质封存是减少温室气体的有效方法,也是碳中和的一项重要技术。在所有地质封存地点中,煤炭储层具有潜在的有效性和可行性。本文选择中国湖南省湘中坳陷为研究区域,以龙潭地层煤层为目标储层。根据储层参数的实验室实验,模拟了二氧化碳强化煤层气(CO2-ECBM)和二氧化碳封存能力。在模拟过程中,设计了四口生产井和一口注入井,模拟过程可分为两个阶段:CO2-ECBM 和 CO2 地质封存两个阶段。CO2-ECBM 阶段指的是注入 CO2 以增加甲烷产量,而 CO2 地质封存阶段旨在预测 CO2 封存能力。然后,对封存效果进行敏感性分析。在模拟过程中,在渗透率 0.01 mD、孔隙度 9%、储层甲烷压力 1.47 MPa 的原始条件下,保持恒压注入 CO2 时,总封存量仅为 0.14 × 106 m3。然而,如果渗透率增加到 1.5 mD,储量就会大幅增加到 6.62 × 106 m3。正交模拟表明,渗透率对二氧化碳封存的影响最大。© 2024 化学工业协会和约翰-威利父子有限公司版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Greenhouse Gases: Science and Technology
Greenhouse Gases: Science and Technology ENERGY & FUELS-ENGINEERING, ENVIRONMENTAL
CiteScore
4.90
自引率
4.50%
发文量
55
审稿时长
3 months
期刊介绍: Greenhouse Gases: Science and Technology is a new online-only scientific journal dedicated to the management of greenhouse gases. The journal will focus on methods for carbon capture and storage (CCS), as well as utilization of carbon dioxide (CO2) as a feedstock for fuels and chemicals. GHG will also provide insight into strategies to mitigate emissions of other greenhouse gases. Significant advances will be explored in critical reviews, commentary articles and short communications of broad interest. In addition, the journal will offer analyses of relevant economic and political issues, industry developments and case studies. Greenhouse Gases: Science and Technology is an exciting new online-only journal published as a co-operative venture of the SCI (Society of Chemical Industry) and John Wiley & Sons, Ltd
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信