Integration of optimization algorithm for component lumping in reservoir engineering applications

Abstract

Reservoir oil and gas are ordinarily characterized with quite a lot of components which mainly differ in number of hydrogen and carbon atoms. Dealing with such large number of components requires considerable amount of computation time. It is required to lump these components into pseudo components in order to reduce the CPU computation timings. The main objective is to determine a proper lumping scheme in order to minimize the associated errors as a result of the lumping process. In accordance with this purpose, the optimization algorithm known as genetic algorithm is incorporated to the objective function developed to specify the deviation in the properties of oil, and gas. The variables utilized to figure out lumping scheme were defined in two different ways. The bounds on the input variables for the objective function were narrowed in line with the relevant results obtained from the previous studies. The variables indicating the group of non-hydrocarbon components were also included in the input set. Implementation of the proposed methodology resulted in having a proper lumping scheme with only a few iterations.