Comparison of Microbial Profiling and Tracer Testing for the Characterization of Injector-Producer Interwell Connectivities

Insufficient understanding of the microbial communities and associated microbial processes in geological reservoirs hinders the utilization of this rich data source for improved resource management. In this study, along with four interwell tracer tests at a 1478-m deep fractured crystalline-rock aqu...

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Main Authors: Yuran Zhang, Anne E. Dekas, Adam J. Hawkins, John Carlo Primo, Oxana Gorbatenko, Roland N. Horne
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/18/2921
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author Yuran Zhang
Anne E. Dekas
Adam J. Hawkins
John Carlo Primo
Oxana Gorbatenko
Roland N. Horne
author_facet Yuran Zhang
Anne E. Dekas
Adam J. Hawkins
John Carlo Primo
Oxana Gorbatenko
Roland N. Horne
author_sort Yuran Zhang
collection DOAJ
description Insufficient understanding of the microbial communities and associated microbial processes in geological reservoirs hinders the utilization of this rich data source for improved resource management. In this study, along with four interwell tracer tests at a 1478-m deep fractured crystalline-rock aquifer, we analyzed the microbial communities in the injected and produced water by high-throughput sequencing. The microbial community similarities across boreholes during an interwell flow scenario frequently encountered in reservoir development was explored. Despite the significant tracer recoveries (~30%) in all tracer tests and the cumulatively >100,000 L of exogenous water (carrying exogenous microbes) injected into the 10-m-scale reservoir, the overall structure of produced-fluid microbiome did not increasingly resemble that of the injectate. However, producers with better connectivity with the injector (based on tracer test results) did have more amplicon sequence variants (ASVs) that overlapped with those in the injectate. We identified possible drivers behind our observations and verified the practicality of repeated microbial sampling in the context of reservoir characterization and long-term monitoring. We highlight that injector-producer microbial profiling could provide insights on the relative connectivities across different producers with a given injector, and that the associated logistical needs may be comparable or even less than that of classic tracer tests.
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spelling doaj.art-511a9ed02bf64e0ca6d9b4c1c02deec82023-11-23T19:32:21ZengMDPI AGWater2073-44412022-09-011418292110.3390/w14182921Comparison of Microbial Profiling and Tracer Testing for the Characterization of Injector-Producer Interwell ConnectivitiesYuran Zhang0Anne E. Dekas1Adam J. Hawkins2John Carlo Primo3Oxana Gorbatenko4Roland N. Horne5Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Earth System Science, Stanford University, Stanford, CA 94305, USADepartment of Energy Resources Engineering, Stanford University, Stanford, CA 94305, USALawrence Berkeley National Laboratory, Berkeley, CA 94720, USASchool of Natural Sciences, Black Hills State University, Spearfish, SD 57799, USADepartment of Energy Resources Engineering, Stanford University, Stanford, CA 94305, USAInsufficient understanding of the microbial communities and associated microbial processes in geological reservoirs hinders the utilization of this rich data source for improved resource management. In this study, along with four interwell tracer tests at a 1478-m deep fractured crystalline-rock aquifer, we analyzed the microbial communities in the injected and produced water by high-throughput sequencing. The microbial community similarities across boreholes during an interwell flow scenario frequently encountered in reservoir development was explored. Despite the significant tracer recoveries (~30%) in all tracer tests and the cumulatively >100,000 L of exogenous water (carrying exogenous microbes) injected into the 10-m-scale reservoir, the overall structure of produced-fluid microbiome did not increasingly resemble that of the injectate. However, producers with better connectivity with the injector (based on tracer test results) did have more amplicon sequence variants (ASVs) that overlapped with those in the injectate. We identified possible drivers behind our observations and verified the practicality of repeated microbial sampling in the context of reservoir characterization and long-term monitoring. We highlight that injector-producer microbial profiling could provide insights on the relative connectivities across different producers with a given injector, and that the associated logistical needs may be comparable or even less than that of classic tracer tests.https://www.mdpi.com/2073-4441/14/18/2921reservoir characterizationtracer testmicrobial communitymicrobial profilingdeep subsurfacefractured rock
spellingShingle Yuran Zhang
Anne E. Dekas
Adam J. Hawkins
John Carlo Primo
Oxana Gorbatenko
Roland N. Horne
Comparison of Microbial Profiling and Tracer Testing for the Characterization of Injector-Producer Interwell Connectivities
Water
reservoir characterization
tracer test
microbial community
microbial profiling
deep subsurface
fractured rock
title Comparison of Microbial Profiling and Tracer Testing for the Characterization of Injector-Producer Interwell Connectivities
title_full Comparison of Microbial Profiling and Tracer Testing for the Characterization of Injector-Producer Interwell Connectivities
title_fullStr Comparison of Microbial Profiling and Tracer Testing for the Characterization of Injector-Producer Interwell Connectivities
title_full_unstemmed Comparison of Microbial Profiling and Tracer Testing for the Characterization of Injector-Producer Interwell Connectivities
title_short Comparison of Microbial Profiling and Tracer Testing for the Characterization of Injector-Producer Interwell Connectivities
title_sort comparison of microbial profiling and tracer testing for the characterization of injector producer interwell connectivities
topic reservoir characterization
tracer test
microbial community
microbial profiling
deep subsurface
fractured rock
url https://www.mdpi.com/2073-4441/14/18/2921
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