Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/990
Title: Optimizing Gas Lift Operations Using Dimensional Analysis and General Regression Neural Network
Authors: Zahraa Abbas Alsarraf 
Supervisor: Dr.Mabkhout Al-Dousari, Prof Ali A.Garrouch (Co-Supervisor)
Degree Awarded: M.Sc Petroleum Engineering
Keywords: Gas Lift;Regression Neural
Issue Date: 2019
Publisher:  Kuwait university - college of graduate studies
Abstract: Gas lift is one of artificial lift methods used to increase the production of depleted reservoirs. Optimizing gas lift operations is a complex endeavor because it involves flow of gas and liquids in a complex wellbore geometry. The optimization of these operations requires maximizing the produced liquid rate while optimizing the gas injection rate. In this study, two approaches have been developed to predict the optimum gas injection rate that maximizes the oil production rate as a function of production, reservoir, and wellbore parameters.
URI: http://hdl.handle.net/123456789/990
Appears in Programs:0650 Petroleum Engineering

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