A Fuzzy Multi-objective Strategy of Polymer Flooding Based on Possibilistic Programming

Against some practical problems for people to solve optimization of polymer flooding in oil exploitation, which include the uncertainty of crude oil price and differences of decision maker’s satisfaction degree about the performance index, a fuzzy multi-objective optimal control model will be established and solved by an improved possibilistic programming algorithm based on Gaussian Probability Distribution in this paper. Gaussian Probability Distribution has comparative complex membership function, so the algorithm can process actual decision information better and reflect decision maker’s subjectivity much better. And a full implicit finite-difference method will be used to solve complicated governing equations in the process of optimization. Additionally, we obtain a regular conclusion in which the decision maker can acquire different appropriate schemes by changing aspiration levels. The acquired optimal schemes in oil field exploitation verify the feasibility and effectiveness of the improved algorithm.