Optimal Infill Well Locations in a Mature Oil Field Using Manual and Search-Based Optimization Methods With Reservoir Flow Simulation

摘要

In order to attain discreet design making and reliable prediction of future reservoir performance,planning an optimal and efficient design of integrated reservoir modeling is crucial in field development processes. Therefore,using optimization algorithms is so important and unique for optimal field development scenario.One of the most usual field development scenarios that requires optimization techniques is determining the optimal infill well locations that lead to maximum oil production and net present value (NPV). The study of optimal well locations has been carried out here on a conceptual sector of the Main Pay in South Rumaila Oil Field in Iraq.This field,of 60-years of production,has 40 producing wells.There is also an edge water drive from the infinite active aquifer at the east and west flanks.After performing reliable history matching,two distinct procedures of optimization have been considered in this paper.The first one is to use manual practical optimization procedure and the second is to use a search-based algorithm. The first approach has been implemented via spreadsheet and reservoir flow model considering the aspects of net present value as objective function.The revenue is directly proportional to the cumulative oil production that has been predicted by the reservoir model for the entire study area.The costs include capital(CAPEX)and operational(OPEX)expenditures.There are ten assigned location of wells taken as a premise to be production wells.These 10 locations have been ranked according to the highest value of permeability and oil saturation spatial distribution in the reservoir in order to be evaluated considering achieving the highest NPV.The optimal number of infill wells was three,six,and ten when the NPV is calculated by the end of 2015,2017,and 2022,respectively and all the wells at the three cases are approximately located at the crest of the reservoir.