This Brief offers a comprehensive study covering the different aspects of gas allocation optimization in petroleum engineering. It contains different methods of defining the fitness function, dealing with constraints and selecting the optimizer; in each chapter a detailed literature review is included which covers older and important studies as well as recent publications. This book will be of use for production engineers and students interested in gas lift optimization.

Bachelor Thesis from the year 2014 in the subject Engineering - Power Engineering, grade: A, University of Benin, course: Petroleum Engineering, language: English, abstract: Crude oil production is a major requirement to sustaining the well begins of any petroleum company. This will entail the effective placement of all facilities and equipment; surface or subsurface in order to achieve optimum volume of crude oil production, this is usually called production optimization. In this study, the software prosper was utilized to case study well J-12T Well J-12T, a natural producer was producing at its peak oil rate at 6137 STB/d at 0% water-cut by mid-1973 but since then production has been on the decline due to increasing water-cut and decreasing reservoir pressure. But to date, the well is producing at an oil rate of 1431 STB/d at a water-cut of 50%.The VLP/IPR data were matched to well test flow rate measurement with a deviation of about 0,0534%, thereafter a short and long term optimization plan scenarios such as sensitivity runs on the well head pressure, tubing sizes, and gas lift technique respectively etc for the well, were simulated in PROSPER and then evaluated. The results of this work suggests that; by lowering the Christmas tree pressure from 180 to 120psi the well’s life can be extended to 70% water-cut, also increasing the tubing size from 2,992" to 3,958" ID is also recommended. The gas lift method was found to be more economical as it can produce up to a maximum economic water cut of 90% with optimum gas injection rate of 3.3MMscf/d and oil production rates will increased from 1431 STB/d to about 3000 STB/d at 50% water-cut.

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.