Análisis de la optimización multiobjetivo en el ruteo de torres de reacondicionamiento a pozos petroleros

Abstract

This research seeks to develop an evolutionary algorithm adapted to operations in eastern Ecuador oil fields for a set of objectives and restrictions to workover activities in oil wells. The development of a multiobjective algorithm based on genetic transfer is proposed. The algorithm will look for the best solutions, emulating the processes of horizontal genetic transfer (HGT) and gene duplication (GD); these processes will cause the emergence of more efficient solutions. The acquisition of evolutionary innovations will allow in each iteration, converge towards better results that will be plotted on a Pareto Front. The data will be collected through records and reports related to workovers in oil wells and oil production of the company Petroamazonas EP, which rest in the Ministry of Energy and Non-Renewable Natural Resources, in order to identify opportunities and improve decisions through planning the schedule for workovers. Finally, a comparative analysis of the algorithm designed with other multiobjective algorithms and the real scenario for the year 2018 will be carried out, in order to evaluate the most efficient results and recommend the better for future research.