Implementation Of Meta Heuristic Algorithm And Pressure Match Method To Observe Aquifer Constant In Retrograde Gas Condensate Reservoirs

The motivation of doing this research was applying the hybrid of pressure match method and genetic algorithm (GA) to optimize the general material balance equation (GMBE) for a condensate gas reservoir with an almost strong aquifer to Figure out its 3 coefficients which are Nfoi, Gfgi and C. The advantage of implementing genetic algorithm (GA) is that the number of parameters which are supposed to be determined is not a concern. There is no doubt that calculating the aquifer constant without taking the reservoir parameters such as viscosity, porosity, net thickness and absolute permeability through making the observer wells much deeper is the most important, beneficial and technical vantage of the mentioned method. The comparison between obtained results from running the method and acquired outputs from the simulator unmask this fact that the pressure match-GA method has highly been successful of determining the coefficients by generating well matched pressures. As a demerit, the method has some problems with lower pressures based on the nature of general material balance equation (GMBE), being rooted in uncertainty, which defeating this obstacle can be considered as a topic for future studies as well as examining the compatibility of the suggested methodology for the heterogeneous reservoirs.