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dc.contributor.authorde Matos Ravanelli, Fabio Miguel
dc.contributor.authorHoteit, Ibrahim
dc.date.accessioned2016-02-04T13:39:51Z
dc.date.available2016-02-04T13:39:51Z
dc.date.issued2015-09-03
dc.date.submitted2014-03-03
dc.identifier.urihttp://hdl.handle.net/10754/595600
dc.description.abstractData from crosswell seismic surveys is processed to provide crosswell time-lapse data to map fluid changes in a reservoir where time-lapse or 4D seismic data is unavailable or unreliable, such as in onshore reservoirs. The resultant processing results provide quantitative information for history matching purposes using a probabilistic approach to take in account uncertainties in the geological model and reduce uncertainties in reservoir production forecasts.
dc.relation.urlhttp://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%2220150247940%22.PGNR.&OS=DN/20150247940&RS=DN/20150247940
dc.relation.urlhttp://assignment.uspto.gov/#/search?adv=publNum:20150247940
dc.relation.urlhttp://www.google.com/patents/US20150247940
dc.relation.urlhttp://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2015247940A1&KC=A1&FT=D
dc.titleHistory matching of time-lapse crosswell data using ensemble kalman filtering
dc.typePatent
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.description.statusPublished Application
dc.contributor.assigneeKing Abdullah University of Science and Technology
dc.contributor.assigneeSaudi Arabian Oil Company
dc.description.countryUnited States
dc.identifier.applicationnumberUS 20150247940 A1
refterms.dateFOA2018-06-13T11:57:46Z


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