Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR019803 |
Numerical study on CO2 leakage detection using electrical streaming potential data | |
Buesing, Henrik1; Vogt, Christian2; Ebigbo, Anozie3,4; Klitzsch, Norbert1 | |
2017 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; England; Switzerland |
英文摘要 | We study the feasibility of detecting carbon dioxide (CO2) movement in the overburden of a storage reservoir due to CO2 leakage through an abandoned well by self-potential (SP) measurements at the surface. This is achieved with three-dimensional numerical (SP) modeling of two-phase fluid flow and electrokinetic coupling between flow and streaming potential. We find that, in typical leakage scenarios, for leaky and/or injection wells with conductive metal casing, self-potential signals originating from injection can be identified at the surface. As the injection signal is also observed at the leaky well with metal casing, SP monitoring can be applied for detecting abandoned wells. However, leakage signals are much smaller than the injection signal and thus masked by the latter. We present three alternatives to overcome this problem: (i) simulate the streaming potential of the nonleaky scenario and subtract the result from the measured streaming potential data; (ii) exploit the symmetry of the injection signal by analyzing the potential difference of dipoles with the dipole center at the injection well; or (iii) measure SP during periods where the injection is interrupted. In our judgement, the most promising approach for detecting a real-world CO2 leakage is by combining methods (i) and (ii), because this would give the highest signal from the leakage and omit signals originating from the injection well. Consequently, we recommend SP as monitoring method for subsurface CO2 storage, especially because a leakage can be detected shortly after the injection started even before CO2 arrives at the leaky well. |
英文关键词 | leakage detection streaming potential (SP) monitoring |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000394911200027 |
WOS关键词 | POROUS-MEDIA ; GROUNDWATER-FLOW ; LINEAR-SYSTEMS ; FLUID-FLOW ; INVERSION ; WELL ; SAND |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20107 |
专题 | 资源环境科学 |
作者单位 | 1.Rhein Westfal TH Aachen, Inst Appl Geophys & Geothermal Energy, E ON Energy Res Ctr, Aachen, Germany; 2.Schlumberger GmbH, Zweigniederlassung Aachen, Aachen, Germany; 3.Imperial Coll, Dept Earth Sci & Engn, London, England; 4.Swiss Fed Inst Technol, Dept Earth Sci, Geothermal Energy & Geofluids Grp, Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Buesing, Henrik,Vogt, Christian,Ebigbo, Anozie,et al. Numerical study on CO2 leakage detection using electrical streaming potential data[J]. WATER RESOURCES RESEARCH,2017,53(1). |
APA | Buesing, Henrik,Vogt, Christian,Ebigbo, Anozie,&Klitzsch, Norbert.(2017).Numerical study on CO2 leakage detection using electrical streaming potential data.WATER RESOURCES RESEARCH,53(1). |
MLA | Buesing, Henrik,et al."Numerical study on CO2 leakage detection using electrical streaming potential data".WATER RESOURCES RESEARCH 53.1(2017). |
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