MODEL BASED ON BOOLEAN LOGIC FOR SCREENING AND SELECTION OF THE ARTIFICIAL LIFT METHODS

Abstract

Artificial lift methods are used in oil wells when the natural energy of the reservoir is not enough to bring the reservoir fluids at the surface. Therefore, these methods are used to add the missing energy. There are many types of artificial lift methods with different characteristics. The selection of an artificial lift technique for a well is crucial because it influences long-term well production and operating costs. In our paper, we propose an application that allows a quick screening and selection of the best artificial lift technique. The application uses Boolean logic as a mathematical and conceptual approach. The model is based on a memory set of data which is working like a database and compares the information in order to select the best artificial lift method for a well data set. The results are presented in two layers such as a front page used for input data set and a second one where it will be displayed the selected method and its advantages and disadvantages.