Abstract An Interdisciplinary study for increasing oil recovery has been made in the present paper. This work has been adopted in the Upper Sandstone member/Zubair formation in South Rumaila Oil Field. The work was achieved by using optimization techniques for determining the optimal future reservoir performance regarding to infill drilling. Adaptive Genetic Algorithm (AGA) has been adopted in this paper to optimize the count and locations of infill wells. AGA uses Fuzzy Logic (FL) to determining optimal crossover rate, mutation rate and crossover form for each generation; in order to find accurate prediction. The main parameters depended in this study is the cumulative oil production obtained from the output of reservoir simulation software. This optimization tool depended on using the objective function of Net Present Value (NPV) as economic analysis. The optimal number of infill wells is three wells that have maximum cumulative oil production and maximum value of NPV. The locations of these optimal infill wells located in the crest of the oil field and far away from the east and west flanks because of the strong water drive from the infinite acting aquifer.
Number of Pages
Looking for more?
Some of the OnePetro partner societies have developed subject- specific wikis that may help.