Optimization Algorithm and Genetic Coding Method for an Oilfield Development Plan Considering Production Constraints

Abstract

For heterogeneous reservoirs that develop due to water flooding, the increased degree of flooding will cause unbalanced displacement, and there are large areas of residual oil enrichment in the reservoir. In this paper, a genetic coding method for oilfield development plan optimization that considers production constraints is proposed. This method considers the constraints of well location, oil and water well type, the open horizon and its combination, water injection volume, and the liquid production index in the actual oilfield development design. On the basis of genetic algorithms and the individual quality inspection method, a program for regulating and optimizing the overall development index of reservoirs was developed. A comprehensive optimization calculation was carried out for the H block. In the process of executing the algorithm, invalid schemes of 16.6–20.2% were eliminated, crude oil recovery increased by 5.56%, and the water cut decreased by 1.81%. The research results show that, compared with a conventional oil and water well production and development plan for an oilfield, this program can greatly improve efficiency and promote the automatic optimization of the overall development index of the reservoir, which is in line with the actual situation of the oilfield.