Aiming at the practical problems of high energy consumption and low energy efficiency during the exploitation of low-permeability oil wells because of insufficient traceability and poor matching performance of production parameters, this paper proposes a multi-objective approach for optimizing production parameters of low-permeability oil well to enhance its energy efficiency. First, a sub-model of daily liquid production yield and a sub-model of unit production energy consumption cost for single low-permeability oil well were established, and the Gaussian mixture model method was employed to compensate for the errors in the sub-model of unit production energy consumption cost, to solve the problem of the influence of uncertain facts during the oil well exploitation and to improve the precision of the model. Second, a multi-objective optimization model was established by taking into account the decision variables and constraints of the model, to maximize the daily liquid production yield while minimizing the unit production energy consumption cost. Subsequently, the non-dominated sorting genetic algorithm was employed to solve the multi-objective optimization model and obtain the production parameters. Finally, the solution set with obvious features was taken as the production parameters and applied to the actual production verification of low-permeability oil wells in a certain oil production plant of the ChangQing Oilfield. The results showed an increase in oil well production yield, and a significant energy-saving effect, thereby verifying the effectiveness of the proposed model and optimization algorithm in this paper.
Liu Peijin, Ding Haojian, Yan Dongyang, Sun Haofeng, Huang Tao, Li Jie
. Multi-Objective Approach for Optimizing Production Parameters of Low-Permeability Oil Well to Enhance Energy Efficiency[J]. Journal of Shanghai Jiaotong University(Science), 2026
, 31(2)
: 486
-498
.
DOI: 10.1007/s12204-024-2736-x
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