Optimization techniques for a multi-dimensional drilling model.

dc.contributor.authorAswad, Zeiad A. R.,en_US
dc.date.accessioned2013-08-16T12:28:01Z
dc.date.available2013-08-16T12:28:01Z
dc.date.issued1980en_US
dc.description.abstractThe method of Hooke and Jeeves using Fibonacci line search has been used to solve the non-linear, multi-variable, unconstrained, objective function. A comparison between the Hooke and Jeeves searching method and other optimization techniques, such as discrete Hooke and Jeeves and Rosenbrock methods is given. Also the effects of changing one decision variable on the drilling cost are studied for all the six variables.en_US
dc.description.abstractIt is concluded that the new developed drilling model gives better results than the Galle and Woods model. Therefore, the drilling companies could save thousands of dollars on one well and perhaps millions on one field. The optimum solution, using the accelerated Hooke and Jeeves search method, is more economical and realistic than solutions produced by other optimization techniques.en_US
dc.description.abstractA new non-linear, unconstrained, mathematical model for the drilling process has been developed. The number of parameters to optimize are six, namely, the weight on bit, the rotary speed, the drilling fluid volumetric flow rate, the jet nozzle diameter, and the drilling fluid density and viscosity.en_US
dc.format.extentix, 128 leaves :en_US
dc.identifier.urihttp://hdl.handle.net/11244/4715
dc.noteSource: Dissertation Abstracts International, Volume: 41-03, Section: B, page: 1075.en_US
dc.subjectEngineering, Petroleum.en_US
dc.thesis.degreePh.D.en_US
dc.thesis.degreeDisciplineMewbourne School of Petroleum and Geological Engineeringen_US
dc.titleOptimization techniques for a multi-dimensional drilling model.en_US
dc.typeThesisen_US
ou.groupMewbourne College of Earth and Energy::Mewbourne School of Petroleum and Geological Engineering
ou.identifier(UMI)AAI8018918en_US

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