Research On Production Scheduling Optimization Of Large-scale Non-pipelined Well Groups

China’s low-permeability marginal oilfields are rich in crude oil reserves,and large-scale non-pipelined well groups are widely distributed.For the current production mode of single tank storaging,tank truck pulling and manual scheduling,the unscientific crude oil pulling scheduling results in such problems as frequent emergency shutdowns,low production time efficiency,inability to fully release the production potential of oil wells and high transportation costs.All these problems have seriously affected oilfield output,production safety and economic benefits.Therefore,it is of great practical and theoretical significance to carry out research on large-scale non-pipelined well group production scheduling optimization with the purpose of solving these problems.The main research results of this article are as follows:(1)Firstly,in order to describe the production scheduling problem of non-pipelined well groups,based on the discrete-time expression method,a mathematical model description of the large-scale non-pipelined well group production scheduling optimization is established,which considers the constraints of movement time between wells,the constraints of loading and unloading operations,and the material balance constraints of stock tanks,tank trucks and unloading points.By taking the minimized total travel time of vehicles as the objective function,the scheduling optimization problem is transformed into a mixed integer linear programming model,and the effectiveness of the proposed model is verified by case analysis.(2)Secondly,regarding the difficulty in optimization and solution caused by excessive constraints and oversize of model,the research on the scheduling optimization model of continuous time expression is described,so as to effectively reduce the size of the model and the optimization solution time,and improve the optimization efficiency.The solution case shows that the proposed continuous time expression model greatly reduces the model size and greatly reduces the optimization solution time.On this basis,the law of the effect of the model size on the continuous time model solution is further studied,and this law can provide guidance for other calculation examples.(3)Lastly,on the basis of the established model,this paper studies the economic benefit evaluation of the model under the objectives of vehicle fuel consumption,fuel tank safety redundancy,and maximum oil transportation,and describes the impact of the three factors on the transportation cost of ton oil and law.Based on the conclusion,a suitable objective function can be flexibly selected in the scheduling of the oil field,and a production scheduling plan that meets the needs of the field can be obtained.The nonlinear constraints in the model and the impact of nonlinearities on the solution are also analyzed.The problem studied in this paper is the first paper in domestic and foreign literature.The large-scale non-pipelined well production scheduling optimization model has fully considered the actual operating characteristics of the oil field,and the scheduling scheme obtained based on this model has certain guiding significance for guaranteeing the safe production of the oil field and high-efficiency development,and at the same time,it is also one of the important directions for the construction of intelligent oil fields.