Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025916 |
Microbial Community Composition in Deep-Subsurface Reservoir Fluids Reveals Natural Interwell Connectivity | |
Zhang, Yuran1; Dekas, Anne E.2; Hawkins, Adam J.1,3; Parada, Alma E.2; Gorbatenko, Oxana4; Li, Kewen1; Horne, Roland N.1 | |
2020-02-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2020 |
卷号 | 56期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The identification of natural fractures and the wells they connect is crucial for the development of geological reservoirs because it may have an important impact on reservoir model construction and hydraulic fracture propagation. In this study we investigated the use of a novel data source, the microbial community composition in the reservoir formation fluids, for identification of interwell connectivity caused by natural fractures. We verified this concept at a newly developed mesoscale enhanced geothermal system (EGS) field testbed located 4,850 ft (1,478 m) beneath ground surface at the Sanford Underground Research Facility in Lead, SD. Fluids produced at or near the EGS testbed were sampled and subjected to high-throughput 16S rRNA gene amplicon sequencing to analyze the microbial community profile therein. Despite the typically substantial heterogeneity across the community profiles of samples spatially distributed (10 m to 1.9 km apart) throughout the site, samples from two wells at the EGS testbed showed highly similar microbial community composition, suggesting the two wells intersected the same natural fracture. This evidence of natural connectivity between the two wells at the EGS testbed was later corroborated by core log analysis and sewer camera surveys into the boreholes. Besides the field case described in this study, microbial community composition as a reservoir diagnostic tool would be applicable in a much broader context such as unconventional hydrocarbon exploitation, groundwater reservoir characterization, and environmental remediation, adding valuable "hard" data capable of pinpointing the origins of fluids unambiguously. |
英文关键词 | interwell connectivity microbial community high-throughput DNA sequencing deep subsurface fracture characterization DNA signature |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000535672800001 |
WOS关键词 | BACTERIAL COMMUNITIES ; BIODIVERSITY ; DIVERSITY ; PATTERNS ; SEQUENCE ; INSIGHTS ; TRACER ; WATER ; LIFE |
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/280539 |
专题 | 资源环境科学 |
作者单位 | 1.Stanford Univ, Dept Energy Resources Engn, Stanford, CA 94305 USA; 2.Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA; 3.Stanford Univ, TomKat Ctr Sustainable Energy, Stanford, CA 94305 USA; 4.Black Hills State Univ, Sch Nat Sci, Spearfish, SD 57799 USA |
推荐引用方式 GB/T 7714 | Zhang, Yuran,Dekas, Anne E.,Hawkins, Adam J.,et al. Microbial Community Composition in Deep-Subsurface Reservoir Fluids Reveals Natural Interwell Connectivity[J]. WATER RESOURCES RESEARCH,2020,56(2). |
APA | Zhang, Yuran.,Dekas, Anne E..,Hawkins, Adam J..,Parada, Alma E..,Gorbatenko, Oxana.,...&Horne, Roland N..(2020).Microbial Community Composition in Deep-Subsurface Reservoir Fluids Reveals Natural Interwell Connectivity.WATER RESOURCES RESEARCH,56(2). |
MLA | Zhang, Yuran,et al."Microbial Community Composition in Deep-Subsurface Reservoir Fluids Reveals Natural Interwell Connectivity".WATER RESOURCES RESEARCH 56.2(2020). |
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