An Experimental Study of an Evolutionary Tool for Scheduling in Oil Wells

The exploitation and the transport of oil are very important activities for the economic development of the industrial modern society. However; these activities are generating risks that are translated in accidental contaminations; or chronic contaminations, that directly affect the ecosystem. It is important that oil companies carry out a correct maintenance of their oil fields. in cases of scheduling maintenance of 200 or more oil wells, our so-called PAE, is a tool able to provide a maintenance visit schedule at the right moment. This tool was developed by LabTEm and uses an evolutionary algorithm to produce multiple solutions to this problem. In this work; we compare two approaches (Lamarckian versus Baldwinian) to a constrained scheduling in oil wells. Details of implementation; results; and benefits are presented.