Microbial Community Composition in Deep‐Subsurface Reservoir Fluids Reveals Natural Interwell Connectivity
[1];
[3];
[1]
- Department of Energy Resources Engineering Stanford University Stanford CA USA
- Department of Earth System Science Stanford University Stanford CA USA
- Department of Energy Resources Engineering Stanford University Stanford CA USA, TomKat Center for Sustainable Energy Stanford University Stanford CA USA
- School of Natural Sciences Black Hills State University Spearfish SD USA
Abstract 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.
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- DE‐AC02‐05CH11231
- OSTI ID:
- 1602318
- Alternate ID(s):
- OSTI ID: 1602321
- Journal Information:
- Water Resources Research, Journal Name: Water Resources Research Vol. 56 Journal Issue: 2; ISSN 0043-1397
- Publisher:
- American Geophysical Union (AGU)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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