{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1360002219016500352.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1190/int-2016-0019.1"}},{"identifier":{"@type":"URI","@value":"https://library.seg.org/doi/pdf/10.1190/INT-2016-0019.1"}}],"resourceType":"学術雑誌論文(journal article)","dc:title":[{"@value":"Using seismic noise derived from fluid injection well for continuous reservoir monitoring"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>To construct a reliable and cost-effective monitoring system for injected [Formula: see text] in carbon capture and storage projects, we have considered a seismic monitoring approach using seismic noise from a fluid injection well. The passive seismic interferometry continuously monitors injected [Formula: see text], enabling the detection of associated accidental incidents (e.g., [Formula: see text] leakage). We have applied three approaches: (1) crosscorrelation, (2) crosscoherence, and (3) deconvolution, to the passive seismometer data acquired during a fluid-injection experiment in Svalbard in the Norwegian Arctic. The crosscoherence approach enabled the construction of shot gathers similar to active-source data. Reflectors from the reservoir could be identified on common-midpoint (CMP) gathers constructed via seismic interferometry, and seismic velocity could be estimated from the time-lapse CMP gathers. High-frequency noise from fluid injection operations and low-amplitude background ambient noise were suitable for reconstructing virtual seismic data. However, we clearly found that the time variation characteristics of the noise influenced monitoring results, and thus the stable part of the noise should be used for monitoring. We further applied surface-wave analysis to the virtual shot gathers derived from seismic interferometry and investigated variations in S-wave velocity structure in a shallow formation. We observed clear time variations in seismic velocity in the shallow part of permafrost regions. The information derived from the surface-wave analysis is useful in evaluating the influence of shallow formations on monitoring results of deep reservoirs.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380847872231816065","@type":"Researcher","foaf:name":[{"@value":"Takeshi Tsuji"}],"jpcoar:affiliationName":[{"@value":"Kyushu University, International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Fukuoka, Japan and Kyushu University, Faculty of Engineering, Fukuoka, Japan.."}]},{"@id":"https://cir.nii.ac.jp/crid/1380847872231816064","@type":"Researcher","foaf:name":[{"@value":"Tatsunori Ikeda"}],"jpcoar:affiliationName":[{"@value":"Kyushu University, International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Fukuoka, Japan.."}]},{"@id":"https://cir.nii.ac.jp/crid/1380847872231816066","@type":"Researcher","foaf:name":[{"@value":"Tor Arne Johansen"}],"jpcoar:affiliationName":[{"@value":"University of Bergen, Department of Earth Science, Bergen, Norway and University Centre in Svalbard, Longyearbyen, Norway.."}]},{"@id":"https://cir.nii.ac.jp/crid/1380847872231816067","@type":"Researcher","foaf:name":[{"@value":"Bent Ole Ruud"}],"jpcoar:affiliationName":[{"@value":"University of Bergen, Department of Earth Science, Bergen, Norway.."}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"23248858"},{"@type":"EISSN","@value":"23248866"}],"prism:publicationName":[{"@value":"Interpretation"}],"dc:publisher":[{"@value":"Society of Exploration Geophysicists"}],"prism:publicationDate":"2016-11-01","prism:volume":"4","prism:number":"4","prism:startingPage":"SQ1","prism:endingPage":"SQ11"},"reviewed":"false","url":[{"@id":"https://library.seg.org/doi/pdf/10.1190/INT-2016-0019.1"}],"createdAt":"2016-08-05","modifiedAt":"2024-06-18","project":[{"@id":"https://cir.nii.ac.jp/crid/1040000781823648896","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"15H01143"},{"@type":"JGN","@value":"JP15H01143"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PUBLICLY-15H01143/"}],"notation":[{"@language":"ja","@value":"断層破砕帯の鉱物化シミュレーションと断層強度モニタリング手法の開発"}]},{"@id":"https://cir.nii.ac.jp/crid/1040000781827075840","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"15H02988"},{"@type":"JGN","@value":"JP15H02988"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15H02988/"}],"notation":[{"@language":"ja","@value":"ターミナル海盆の堆積記録を用いた南海トラフの地震履歴の高精度化"},{"@language":"en","@value":"Accuracy improvement of earthquake history of the Nankai Trough by sediment records from terminal basins"}]},{"@id":"https://cir.nii.ac.jp/crid/1040282257416516864","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"15H05717"},{"@type":"JGN","@value":"JP15H05717"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15H05717/"}],"notation":[{"@language":"ja","@value":"プレート境界断層超深度掘削・観測による南海トラフ巨大地震切迫度評価"},{"@language":"en","@value":"Urgency Evaluation of the Nankai Great Earthquake and Tsunami by Scientific Ocean Drilling"}]}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050001202178685312","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"VP∕VS ratio and shear-wave splitting in the Nankai Trough seismogenic zone: Insights into effective stress, pore pressure, and sediment consolidation"},{"@value":"<i>V</i>\n                    P/\n                    <i>V</i>\n     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