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dc.contributor.authorAlzahrani, Majed A.
dc.contributor.authorAlsolami, Fawaz
dc.contributor.authorChikalov, Igor
dc.contributor.authorAlgharbi, Salem
dc.contributor.authorAboudi, Faisal
dc.contributor.authorKhudiri, Musab
dc.date.accessioned2016-09-18T12:04:21Z
dc.date.available2016-09-18T12:04:21Z
dc.date.issued2016-03-10
dc.date.submitted2014-09-02
dc.identifier.urihttp://hdl.handle.net/10754/620476
dc.description.abstractDisclosed are various embodiments for a prediction application to predict a stuck pipe. A linear regression model is generated from hook load readings at corresponding bit depths. A current hook load reading at a current bit depth is compared with a normal hook load reading from the linear regression model. A current hook load greater than a normal hook load for a given bit depth indicates the likelihood of a stuck pipe.
dc.relation.urlhttp://www.google.com/patents/WO2016034945A2
dc.relation.urlhttp://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2016034945A2&KC=A2&FT=D
dc.titleStuck pipe prediction
dc.typePatent
dc.contributor.departmentComputer Science
dc.description.statusPublished Application
dc.contributor.assigneeKing Abdullah University Of Science And Technology
dc.description.countryWorld Intellectual Property Organization (WIPO)
dc.identifier.applicationnumberWO 2016034945 A2
dc.identifier.applicationnumberWO2016034945A3
refterms.dateFOA2018-06-13T12:40:23Z


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