Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/19413
Title: Optimization of drilling parameters using metaheuristic technique
Authors: Hachana, oussama
Akik ,akrem
Abd esselam, mohammed
Chelouche ,aissa
Keywords: Drilling
expenditure
Optimization
drilling rate
multiple
regression
metaheuristic
errors
Issue Date: 2018
Abstract: More than ever in the drilling industry, all considerations are involved to reduce drilling operation e penditure. That’s why The objective for our study is to focus on the Optimization of the Drilling Parameters, To achieve this goal we began our study by a dominant and widely utilized method for drilling rate prediction that called Bourgoyne and Young’s Model. And their suggested analysis method the multiple regression (MR) to define these constants. Then our study aims to propose one of the best metaheuristic optimization techniques (PSO) and the modified one (M_PSO) to improve and compare the quality of solution founded by the multiple regression method. Through the final the results we have achieved in several tests and the different comparison of the MR,PSO, and M_PSO using some of the approximation errors, we validate that the best convergence, optimization performance and the optimal values are all obtained by the M_PSO. These results lead us to calculate and Optimum bit weight and rotary speed for the drilling operation
Description: Kasdi Merbah University - Ouargla Faculty Of Hydrocarbons, Renewable Energy, Science Of The Earth and Universe Department Of Drilling And Oil Mechanics Master’s thesis in drilling
URI: http://dspace.univ-ouargla.dz/jspui/handle/123456789/19413
Appears in Collections:Département de Forage et Mécanique des chantiers pétroliers - Master

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