Optimization of Long-distance Oil Pipeline Production Operation Scheme

Abstract

XX oil pipeline is responsible for transporting crude oil from XX to XX refinery. According to the actual operating conditions of the pipeline, it is known that the pipeline operation scheduling plan is manually formulated based on experience, resulting in a large amount of waste of fuel energy and electrical energy. In order to improve the economic benefits of pipeline operation and reduce system energy consumption, it is of great practical significance to optimize the pipeline operation scheduling scheme. In order to reduce the deviation between theoretical calculation and actual data, the total heat transfer coefficient and hydraulic friction coefficient of the pipeline are corrected and fitted according to the principle of least square method, which effectively improves the accuracy of the calculation method. Take the minimum total energy consumption cost of the entire pipeline as the objective function, take the outbound temperature and pump combination scheme of the entire pipeline as the decision variables, and take the inbound temperature, outbound temperature, flow rate, heating furnace heat load, and pump unit characteristics as constraints Conditions, the establishment of the XX oil pipeline production operation scheduling program optimization mathematical model. The model is an optimization design problem including discrete variables and continuous variables, which is solved by dynamic programming according to the structural characteristics of the model. The optimization results show that energy consumption in winter and summer has been reduced by 23% and 18%, respectively.