Reservoir resistivity characterization incorporating flow dynamics

Handle URI:
http://hdl.handle.net/10754/620492
Title:
Reservoir resistivity characterization incorporating flow dynamics
Authors:
Arango, Santiago; Sun, Shuyu ( 0000-0002-3078-864X ) ; Hoteit, Ibrahim ( 0000-0002-3751-4393 ) ; Katterbauer, Klemens ( 0000-0003-0931-8843 )
Assignee:
King Abdullah University Of Science And Technology
Abstract:
Systems and methods for reservoir resistivity characterization are provided, in various aspects, an integrated framework for the estimation of Archie's parameters for a strongly heterogeneous reservoir utilizing the dynamics of the reservoir are provided. The framework can encompass a Bayesian estimation/inversion method for estimating the reservoir parameters, integrating production and time lapse formation conductivity data to achieve a better understanding of the subsurface rock conductivity properties and hence improve water saturation imaging.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Issue Date:
7-Apr-2016
Submitted date:
2014-09-30
Type:
Patent
Application Number:
WO 2016051282 A2
Patent Status:
Published Application
Additional Links:
http://www.google.com/patents/WO2016051282A2; http://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2016051282A2&KC=A2&FT=D
Appears in Collections:
Patents

Full metadata record

DC FieldValue Language
dc.contributor.authorArango, Santiagoen
dc.contributor.authorSun, Shuyuen
dc.contributor.authorHoteit, Ibrahimen
dc.contributor.authorKatterbauer, Klemensen
dc.date.accessioned2016-09-19T10:35:14Z-
dc.date.available2016-09-19T10:35:14Z-
dc.date.issued2016-04-07-
dc.date.submitted2014-09-30-
dc.identifier.urihttp://hdl.handle.net/10754/620492-
dc.description.abstractSystems and methods for reservoir resistivity characterization are provided, in various aspects, an integrated framework for the estimation of Archie's parameters for a strongly heterogeneous reservoir utilizing the dynamics of the reservoir are provided. The framework can encompass a Bayesian estimation/inversion method for estimating the reservoir parameters, integrating production and time lapse formation conductivity data to achieve a better understanding of the subsurface rock conductivity properties and hence improve water saturation imaging.en
dc.relation.urlhttp://www.google.com/patents/WO2016051282A2en
dc.relation.urlhttp://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2016051282A2&KC=A2&FT=Den
dc.titleReservoir resistivity characterization incorporating flow dynamicsen
dc.typePatenten
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.description.statusPublished Applicationen
dc.contributor.assigneeKing Abdullah University Of Science And Technologyen
dc.description.countryWorld Intellectual Property Organization (WIPO)en
dc.identifier.applicationnumberWO 2016051282 A2en
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