Distributed Fiber Optic Sensing System for Well‐Based Monitoring Water Injection Tests—A Geomechanical Responses Perspective
In this study, distributed fiber optic sensing (DFOS) based on hybrid Brillouin‐Rayleigh backscattering is examined for the first time in well‐based monitoring distributed profiles of geomechanical deformation induced by water injection. Field water injection tests are conducted under different inje...
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description | In this study, distributed fiber optic sensing (DFOS) based on hybrid Brillouin‐Rayleigh backscattering is examined for the first time in well‐based monitoring distributed profiles of geomechanical deformation induced by water injection. Field water injection tests are conducted under different injection scenarios between an injection well (230 m, IW #2) and 5.5 m away from a fibered monitoring well (300 m, MW #1) by deploying cables behind the casing at Mobara, Japan. Effects of injection rate, pressure, and lithological heterogeneity on the geomechanical deformation are quantitatively monitored via a DFOS approach and indicate that induced strains significantly depend on injection rate and pressure. The results also indicate that DFOS results are reasonably consistent with simultaneous geophysical well logging data and corresponding numerical simulation. The extent of impacted areas and magnitude of near‐wellbore strains are explored to evaluate formation heterogeneity and fluid migration behaviors. The field testing of hybrid DFOS technology is expected to definitely advance elaborate monitoring and wider applications, such as CO2 geosequestration sites.
Plain Language Summary
Geological CO2 storage (GCS) in deep saline aquifers is broadly recognized as possessing the potential to play a key role in mitigating anthropogenic climate change. Valid monitoring methods are important to characterize the spatial distribution of sequestered CO2 in underground reservoirs. In the study, hybrid Brillouin‐Rayleigh scattering based on high‐resolution distributed fiber optic sensing (DFOS) as an advanced monitoring tool to measure the distribution of temperature or strain is deployed behind casing to a depth of 300 m in an actual field of MW #1 to detect the vertical profile of strain changes at various locations along the entire cable length. Water injection tests are implemented to inject water from adjacent injection well, IW #2 (approximately 5.5 m distance) toward the fibered MW #1. Results indicate that the impacted zones induced by water injection are expanded to the vertical formations near the fibered well, thereby assessing overlying and overlying sealing. Additionally, the induced strain magnitude and state are largely associated with the injection rate, pressure, and formation heterogeneity compare well with the results of well logging and numerical modeling. The DFOS‐based downhole monitoring technology can capture continuous depth‐based geomechanical de |
doi_str_mv | 10.1029/2019WR024794 |
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Plain Language Summary
Geological CO2 storage (GCS) in deep saline aquifers is broadly recognized as possessing the potential to play a key role in mitigating anthropogenic climate change. Valid monitoring methods are important to characterize the spatial distribution of sequestered CO2 in underground reservoirs. In the study, hybrid Brillouin‐Rayleigh scattering based on high‐resolution distributed fiber optic sensing (DFOS) as an advanced monitoring tool to measure the distribution of temperature or strain is deployed behind casing to a depth of 300 m in an actual field of MW #1 to detect the vertical profile of strain changes at various locations along the entire cable length. Water injection tests are implemented to inject water from adjacent injection well, IW #2 (approximately 5.5 m distance) toward the fibered MW #1. Results indicate that the impacted zones induced by water injection are expanded to the vertical formations near the fibered well, thereby assessing overlying and overlying sealing. Additionally, the induced strain magnitude and state are largely associated with the injection rate, pressure, and formation heterogeneity compare well with the results of well logging and numerical modeling. The DFOS‐based downhole monitoring technology can capture continuous depth‐based geomechanical deformation, which can serve as a valid indicator to track the migration of injected fluids and act as an early warning for potential fluid leakage.
Key Points
Injection‐induced geomechanical deformation (i.e., strain) induced by water injection is continuously monitored via an advanced DFOS tool
Strain response mainly attributed to the injection scheme and lithological heterogeneity agreed well with well logging and numerical results
DFOS‐based downhole monitoring is a cost‐effective tool to detect impacted zones and quantify real‐time wellbore deformation in depth</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2019WR024794</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Anthropogenic climate changes ; Anthropogenic factors ; Aquifers ; Backscattering ; Borehole monitoring ; Cables ; Carbon dioxide ; Carbon sequestration ; Climate change ; Climate monitoring ; Computational fluid dynamics ; Computer simulation ; Data logging ; Deformation ; Detection ; DFOS ; Distribution ; Fiber optic sensors ; Fiber optics ; Fluids ; Geological CO2 storage ; Geomechanical deformation ; Geomechanics ; Geophysics ; Heterogeneity ; Hybrid Brillouin‐Rayleigh sensing ; Injection ; Injection molding ; Lithology ; Logging ; Mathematical models ; Monitoring ; Monitoring methods ; Numerical simulations ; Optical fibers ; Pressure ; Pressure effects ; Profiles ; Rayleigh scattering ; Spatial distribution ; Storage ; Technology ; Temperature distribution ; Tests ; Vertical profiles ; Water ; Water injection ; Water monitoring ; Well logging</subject><ispartof>Water resources research, 2020-01, Vol.56 (1), p.n/a</ispartof><rights>2019. American Geophysical Union. All Rights Reserved.</rights><rights>2020. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3309-b309b2baedcf2f4e5f8308ac7bf2c7bdddee6417bff14b5f575b3d63f06d4dcd3</citedby><cites>FETCH-LOGICAL-a3309-b309b2baedcf2f4e5f8308ac7bf2c7bdddee6417bff14b5f575b3d63f06d4dcd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2019WR024794$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2019WR024794$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,11494,27903,27904,45553,45554,46446,46870</link.rule.ids></links><search><creatorcontrib>Sun, Yankun</creatorcontrib><creatorcontrib>Xue, Ziqiu</creatorcontrib><creatorcontrib>Hashimoto, Tsutomu</creatorcontrib><creatorcontrib>Lei, Xinglin</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><title>Distributed Fiber Optic Sensing System for Well‐Based Monitoring Water Injection Tests—A Geomechanical Responses Perspective</title><title>Water resources research</title><description>In this study, distributed fiber optic sensing (DFOS) based on hybrid Brillouin‐Rayleigh backscattering is examined for the first time in well‐based monitoring distributed profiles of geomechanical deformation induced by water injection. Field water injection tests are conducted under different injection scenarios between an injection well (230 m, IW #2) and 5.5 m away from a fibered monitoring well (300 m, MW #1) by deploying cables behind the casing at Mobara, Japan. Effects of injection rate, pressure, and lithological heterogeneity on the geomechanical deformation are quantitatively monitored via a DFOS approach and indicate that induced strains significantly depend on injection rate and pressure. The results also indicate that DFOS results are reasonably consistent with simultaneous geophysical well logging data and corresponding numerical simulation. The extent of impacted areas and magnitude of near‐wellbore strains are explored to evaluate formation heterogeneity and fluid migration behaviors. The field testing of hybrid DFOS technology is expected to definitely advance elaborate monitoring and wider applications, such as CO2 geosequestration sites.
Plain Language Summary
Geological CO2 storage (GCS) in deep saline aquifers is broadly recognized as possessing the potential to play a key role in mitigating anthropogenic climate change. Valid monitoring methods are important to characterize the spatial distribution of sequestered CO2 in underground reservoirs. In the study, hybrid Brillouin‐Rayleigh scattering based on high‐resolution distributed fiber optic sensing (DFOS) as an advanced monitoring tool to measure the distribution of temperature or strain is deployed behind casing to a depth of 300 m in an actual field of MW #1 to detect the vertical profile of strain changes at various locations along the entire cable length. Water injection tests are implemented to inject water from adjacent injection well, IW #2 (approximately 5.5 m distance) toward the fibered MW #1. Results indicate that the impacted zones induced by water injection are expanded to the vertical formations near the fibered well, thereby assessing overlying and overlying sealing. Additionally, the induced strain magnitude and state are largely associated with the injection rate, pressure, and formation heterogeneity compare well with the results of well logging and numerical modeling. The DFOS‐based downhole monitoring technology can capture continuous depth‐based geomechanical deformation, which can serve as a valid indicator to track the migration of injected fluids and act as an early warning for potential fluid leakage.
Key Points
Injection‐induced geomechanical deformation (i.e., strain) induced by water injection is continuously monitored via an advanced DFOS tool
Strain response mainly attributed to the injection scheme and lithological heterogeneity agreed well with well logging and numerical results
DFOS‐based downhole monitoring is a cost‐effective tool to detect impacted zones and quantify real‐time wellbore deformation in depth</description><subject>Anthropogenic climate changes</subject><subject>Anthropogenic factors</subject><subject>Aquifers</subject><subject>Backscattering</subject><subject>Borehole monitoring</subject><subject>Cables</subject><subject>Carbon dioxide</subject><subject>Carbon sequestration</subject><subject>Climate change</subject><subject>Climate monitoring</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Data logging</subject><subject>Deformation</subject><subject>Detection</subject><subject>DFOS</subject><subject>Distribution</subject><subject>Fiber optic sensors</subject><subject>Fiber optics</subject><subject>Fluids</subject><subject>Geological CO2 storage</subject><subject>Geomechanical deformation</subject><subject>Geomechanics</subject><subject>Geophysics</subject><subject>Heterogeneity</subject><subject>Hybrid Brillouin‐Rayleigh sensing</subject><subject>Injection</subject><subject>Injection molding</subject><subject>Lithology</subject><subject>Logging</subject><subject>Mathematical models</subject><subject>Monitoring</subject><subject>Monitoring methods</subject><subject>Numerical simulations</subject><subject>Optical fibers</subject><subject>Pressure</subject><subject>Pressure effects</subject><subject>Profiles</subject><subject>Rayleigh scattering</subject><subject>Spatial distribution</subject><subject>Storage</subject><subject>Technology</subject><subject>Temperature distribution</subject><subject>Tests</subject><subject>Vertical profiles</subject><subject>Water</subject><subject>Water injection</subject><subject>Water monitoring</subject><subject>Well logging</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp90L1OwzAQAGALgUQpbDyAJVYC_kvSjKXQglRUFEAdIyc-g6s0DnYK6tZHYOAJeRJclYGJ5U4nffejQ-iUkgtKWHbJCM3mOWEizcQe6tFMiCjNUr6PeoQIHlGepYfoyPsFIVTESdpDm2vjO2fKVQcKj00JDs_azlT4ERpvmhf8uPYdLLG2Ds-hrr83n1fSB3tvG9NZtyVz2YW2u2YBVWdsg5_Ad_578zXEE7BLqF5lYypZ4xx8axsPHj-A8-1Wv8MxOtCy9nDym_voeXzzNLqNprPJ3Wg4jSTnJIvKEEpWSlCVZlpArAecDGSVlpqFoJQCSAQNpaaijHWcxiVXCdckUUJVivfR2W5u6-zbKlxYLOzKNWFlwbhIKSHxgAV1vlOVs9470EXrzFK6dUFJsf1x8ffHgfMd_zA1rP-1xTwf5UzwJOM_WMyC1A</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Sun, Yankun</creator><creator>Xue, Ziqiu</creator><creator>Hashimoto, Tsutomu</creator><creator>Lei, Xinglin</creator><creator>Zhang, Yi</creator><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope></search><sort><creationdate>202001</creationdate><title>Distributed Fiber Optic Sensing System for Well‐Based Monitoring Water Injection Tests—A Geomechanical Responses Perspective</title><author>Sun, Yankun ; Xue, Ziqiu ; Hashimoto, Tsutomu ; Lei, Xinglin ; Zhang, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3309-b309b2baedcf2f4e5f8308ac7bf2c7bdddee6417bff14b5f575b3d63f06d4dcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anthropogenic climate changes</topic><topic>Anthropogenic factors</topic><topic>Aquifers</topic><topic>Backscattering</topic><topic>Borehole monitoring</topic><topic>Cables</topic><topic>Carbon dioxide</topic><topic>Carbon sequestration</topic><topic>Climate change</topic><topic>Climate monitoring</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Data logging</topic><topic>Deformation</topic><topic>Detection</topic><topic>DFOS</topic><topic>Distribution</topic><topic>Fiber optic sensors</topic><topic>Fiber optics</topic><topic>Fluids</topic><topic>Geological CO2 storage</topic><topic>Geomechanical deformation</topic><topic>Geomechanics</topic><topic>Geophysics</topic><topic>Heterogeneity</topic><topic>Hybrid Brillouin‐Rayleigh sensing</topic><topic>Injection</topic><topic>Injection molding</topic><topic>Lithology</topic><topic>Logging</topic><topic>Mathematical models</topic><topic>Monitoring</topic><topic>Monitoring methods</topic><topic>Numerical simulations</topic><topic>Optical fibers</topic><topic>Pressure</topic><topic>Pressure effects</topic><topic>Profiles</topic><topic>Rayleigh scattering</topic><topic>Spatial distribution</topic><topic>Storage</topic><topic>Technology</topic><topic>Temperature distribution</topic><topic>Tests</topic><topic>Vertical profiles</topic><topic>Water</topic><topic>Water injection</topic><topic>Water monitoring</topic><topic>Well logging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Yankun</creatorcontrib><creatorcontrib>Xue, Ziqiu</creatorcontrib><creatorcontrib>Hashimoto, Tsutomu</creatorcontrib><creatorcontrib>Lei, Xinglin</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Yankun</au><au>Xue, Ziqiu</au><au>Hashimoto, Tsutomu</au><au>Lei, Xinglin</au><au>Zhang, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributed Fiber Optic Sensing System for Well‐Based Monitoring Water Injection Tests—A Geomechanical Responses Perspective</atitle><jtitle>Water resources research</jtitle><date>2020-01</date><risdate>2020</risdate><volume>56</volume><issue>1</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>In this study, distributed fiber optic sensing (DFOS) based on hybrid Brillouin‐Rayleigh backscattering is examined for the first time in well‐based monitoring distributed profiles of geomechanical deformation induced by water injection. Field water injection tests are conducted under different injection scenarios between an injection well (230 m, IW #2) and 5.5 m away from a fibered monitoring well (300 m, MW #1) by deploying cables behind the casing at Mobara, Japan. Effects of injection rate, pressure, and lithological heterogeneity on the geomechanical deformation are quantitatively monitored via a DFOS approach and indicate that induced strains significantly depend on injection rate and pressure. The results also indicate that DFOS results are reasonably consistent with simultaneous geophysical well logging data and corresponding numerical simulation. The extent of impacted areas and magnitude of near‐wellbore strains are explored to evaluate formation heterogeneity and fluid migration behaviors. The field testing of hybrid DFOS technology is expected to definitely advance elaborate monitoring and wider applications, such as CO2 geosequestration sites.
Plain Language Summary
Geological CO2 storage (GCS) in deep saline aquifers is broadly recognized as possessing the potential to play a key role in mitigating anthropogenic climate change. Valid monitoring methods are important to characterize the spatial distribution of sequestered CO2 in underground reservoirs. In the study, hybrid Brillouin‐Rayleigh scattering based on high‐resolution distributed fiber optic sensing (DFOS) as an advanced monitoring tool to measure the distribution of temperature or strain is deployed behind casing to a depth of 300 m in an actual field of MW #1 to detect the vertical profile of strain changes at various locations along the entire cable length. Water injection tests are implemented to inject water from adjacent injection well, IW #2 (approximately 5.5 m distance) toward the fibered MW #1. Results indicate that the impacted zones induced by water injection are expanded to the vertical formations near the fibered well, thereby assessing overlying and overlying sealing. Additionally, the induced strain magnitude and state are largely associated with the injection rate, pressure, and formation heterogeneity compare well with the results of well logging and numerical modeling. The DFOS‐based downhole monitoring technology can capture continuous depth‐based geomechanical deformation, which can serve as a valid indicator to track the migration of injected fluids and act as an early warning for potential fluid leakage.
Key Points
Injection‐induced geomechanical deformation (i.e., strain) induced by water injection is continuously monitored via an advanced DFOS tool
Strain response mainly attributed to the injection scheme and lithological heterogeneity agreed well with well logging and numerical results
DFOS‐based downhole monitoring is a cost‐effective tool to detect impacted zones and quantify real‐time wellbore deformation in depth</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2019WR024794</doi><tpages>19</tpages></addata></record> |
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subjects | Anthropogenic climate changes Anthropogenic factors Aquifers Backscattering Borehole monitoring Cables Carbon dioxide Carbon sequestration Climate change Climate monitoring Computational fluid dynamics Computer simulation Data logging Deformation Detection DFOS Distribution Fiber optic sensors Fiber optics Fluids Geological CO2 storage Geomechanical deformation Geomechanics Geophysics Heterogeneity Hybrid Brillouin‐Rayleigh sensing Injection Injection molding Lithology Logging Mathematical models Monitoring Monitoring methods Numerical simulations Optical fibers Pressure Pressure effects Profiles Rayleigh scattering Spatial distribution Storage Technology Temperature distribution Tests Vertical profiles Water Water injection Water monitoring Well logging |
title | Distributed Fiber Optic Sensing System for Well‐Based Monitoring Water Injection Tests—A Geomechanical Responses Perspective |
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