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dc.contributor.advisorGodhavn, John-Mortennb_NO
dc.contributor.authorErikson, Larsnb_NO
dc.date.accessioned2014-12-19T12:16:18Z
dc.date.available2014-12-19T12:16:18Z
dc.date.created2012-11-08nb_NO
dc.date.issued2012nb_NO
dc.identifier566030nb_NO
dc.identifierntnudaim:7897nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/239777
dc.description.abstractEvery year kick incidents occur, maybe best remembered by the Macondo blowout in April 2010 resulting in devastating oil spills throughout the Gulf of Mexico. Well control is one of the most important factors in any drilling operation, preventing disastrous blowouts where people and the environment will be affected. The development of new technologies has increased significantly, lowering the risks of blowouts, mostly because of the reliability of blowout preventers. Better hardware systems have been developed and better materials has increased the performance during critical parts of an operation. There are several causes why we encounter kicks; not keeping the hole full, lost circulation, swabbing, underbalanced pressures, trapped fluids/pressures and mechanical failures. Before an actual kick, there are warning signs that might occur and knowing how to interpret positive indicators of kick is very important. Pit gain, increase in return flow rate and abnormalities in drillpipe pressure are all signs that formation fluid has entered the well. When experiencing a kick, procedures to reduce the danger and the non productive time have to be started. Firstly the well has to be shut in by either the hard shut-in method or the soft shut-in method. Then the influx has to be circulated out of the well by the use of either the Driller’s Method or the Wait and Weight Method. To better understand and visualize the behavior of formation fluid entering the well, the simulation program Drillbench Kick has been used. The soft shut-in has been compared against the hard shut-in and the Driller’s Method has been run against the Wait & Weight Method. The simulations have been performed with both oil based mud and water based mud.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for petroleumsteknologi og anvendt geofysikknb_NO
dc.subjectntnudaim:7897no_NO
dc.subjectMTGEOP Geofag og petroleumsteknologino_NO
dc.subjectBoreteknologino_NO
dc.titleAutomatic Well Control Simulationsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber79nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for petroleumsteknologi og anvendt geofysikknb_NO


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