Abstract:

A capacitance model and a steadystate model of oil production process were established based on the historical data accumulated during oil productionA set point optimization problem was formulated based on the proposed model of capacitance and oil production process by minimizing production cost or maximizing profitsA multiobjective constrained optimization evolutionary algorithm based on dynamical selection and replacement strategy was proposed for solving the set point optimization problem of oil production processThe constrained optimization problem was converted into a multiobjective optimization problem with two objectivesDuring the evolution process,the algorithm was based on multiobjective optimization technique, where the initial population was divided into two setsA nondominated individual〖DK〗’s conservation bias strategy was used to keep a specific number of infeasible solutions in each generationThe randomly selected individuals in Pareto set were replaced by the remaining nondominated individualsNumerical simulation was made to verify the proposed algorithm using a set of data obtained from a heterogeneous reservoir Synfield.