An approach for efficient analysis of drill-string random vibrations

Simple item page
dc.contributor.advisorSpanos, Pol D.
dc.creatorPolitis, Nikolaos P.
dc.date.accessioned2009-06-04T08:14:13Z
dc.date.available2009-06-04T08:14:13Z
dc.date.issued2002
dc.description.abstractLateral vibrations are widely recognized as the leading cause of drill-string failures in oil well operations. The finite elements method formulation is used for the mathematical modelling. Due to the erratic nature of the forces at the drill-bit, a stochastic dynamics approach is followed. Both the method of statistical linearization, and the Monte Carlo method are used to analyze the system dynamics. Numerical results pertaining to data obtained by measurement while drilling tools are presented. The significance of the present study, over studies available in the literature, hinges upon the computational efficiency of the adopted piecewise linear model of the drill-string---well formation interaction and the derivation of information on the probability density function, and the power spectrum of the erratic drill-string motion. It is expected that this study will enhance the interest in using stochastic dynamics techniques in drilling system analysis and design.
dc.format.extent86 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS C.E. 2002 POLITIS
dc.identifier.citationPolitis, Nikolaos P.. "An approach for efficient analysis of drill-string random vibrations." (2002) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17541">https://hdl.handle.net/1911/17541</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17541
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectCivil engineering
dc.subjectMechanical engineering
dc.subjectPetroleum engineering
dc.titleAn approach for efficient analysis of drill-string random vibrations
dc.typeThesis
dc.type.materialText
thesis.degree.departmentChemical and Biomolecular Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
1408700.PDF
Size:
2.54 MB
Format:
Adobe Portable Document Format
Download
Collections
Rice University Electronic Theses and Dissertations