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dc.contributor.authorChen, Q.
dc.contributor.authorPardo, D. 
dc.contributor.authorLi, H.-B.
dc.contributor.authorWang, F.-R.
dc.contributor.authorYe, Q.-Z.
dc.date.accessioned2017-02-21T08:19:29Z
dc.date.available2017-02-21T08:19:29Z
dc.date.issued2010-12-31
dc.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/20.500.11824/635
dc.description.abstractThrough-casing resistivity (TCR) measurement instruments such as Cased Hole Formation Resistivity are extensively used for the dynamic monitoring of oil reservoirs during the production phase in oil wells to evaluate the residual oil distribution. However, two shortcomings still exist in the common TCR model based on single-injection electrodes: The real value of steel-casing resistance is difficult to acquire, and the effect from mechanical tolerances of electrode scale is unpredictable. This paper proposes an innovative model based on doubleinjection electrodes. In this new model, all the required variables can be measured simultaneously; furthermore, a compensating arithmetic method is employed to obtain the real casing resistance. Self-adaptive goal-oriented hp-finite-element simulations have been performed to prove that the influence of mechanical tolerances of electrode scale can be reduced effectively. Therefore, the TCR measurement accuracy is highly improved.
dc.formatapplication/pdf
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectArithmetic
dc.subjectElectromagnetic analysis
dc.subjectGeophysical measurements
dc.titleArithmetic method of double-injection-electrode model for resistivity measurement through metal casingen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1109/TGRS.2009.2026741
dc.relation.publisherversionhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-73249153174&doi=10.1109%2fTGRS.2009.2026741&partnerID=40&md5=73ebed6003c97a1291ea4f8ff4949d0e
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titleIEEE Transactions on Geoscience and Remote Sensingen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España