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Modelling and optimization of geothermal drilling parameters : a case study of well MW-17 in Menengai Kenya

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dc.contributor Jarðhitaskóli Háskóla Sameinuðu þjóðanna is
dc.contributor.author Miyora, Thomas Ongau is
dc.date.accessioned 2015-01-28T18:07:03Z
dc.date.available 2015-01-28T18:07:03Z
dc.date.issued 2014
dc.identifier.isbn 9789979683445
dc.identifier.issn 1670-7427
dc.identifier.uri http://hdl.handle.net/10802/9001
dc.description Einnig gefið út sem lokaritgerð (MSc) frá Háskóla Íslands í nóvember 2014 is
dc.description Myndefni: gröf, töflur is
dc.description.abstract Several factors come into play when a drill bit is crushing the rock at the bottom of the hole. To effectively drill geothermal wells, these factors must be carefully considered and combined in an optimum manner. The characteristic of geothermal formations is such that it is composed of different layers of rocks alternating from the surface to the final depth. Some rocks are highly temperature altered while others are highly fractured and unconsolidated. A careful approach has to be devised while drilling through the different sections to avoid problems which lead to delays in drilling. At the same time drilling parameters have to be applied according to the rock types in such a way that the well is drilled in the shortest time possible and in the most cost effective manner. The following factors have been mathematically modelled by Multiple Linear Regression and shown how they affect the overall drilling rate: Formation strength, Depth, Formation compaction, Pressure differential, Bit diameter and Weight on bit (WOB), Bit rotation (RPM), and Bit hydraulics. This modelling approach has been adapted for geothermal drilling from the Oil and Gas drilling as first applied by Bourgoyne and Young. Optimization of WOB and RPM showed most of these parameters are in some cases applied too low and in others too high. Data captured while drilling of well MW-17 in Menengai geothermal field was used in making the drilling model. A combination of Excel and Matlab was used in the data analysis. is
dc.format.extent viii, 66 s. is
dc.language.iso en
dc.publisher United Nations University is
dc.publisher Orkustofnun is
dc.relation.ispartofseries United Nations University., UNU Geothermal Training Programme, Iceland. Report ; 2014:06
dc.relation.uri http://os.is/gogn/unu-gtp-report/UNU-GTP-2014-06.pdf
dc.subject Jarðhiti is
dc.subject Jarðboranir is
dc.subject Borholur is
dc.subject Reiknilíkön is
dc.subject Meistaraprófsritgerðir is
dc.subject Kenía is
dc.subject Menengai (Kenya) is
dc.title Modelling and optimization of geothermal drilling parameters : a case study of well MW-17 in Menengai Kenya en
dc.type Bók is
dc.identifier.gegnir 991005282969706886


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