Optimization Af Production Operation Scheduling And Software Development Of A Hot Oil Pipeline In A Cold Area

The "three highs" crude oil in the cold area is generally transported by hot oil pipelines,and a large amount of heat and electricity are consumed during the transportation process.Different operation schemes have huge differences in energy consumption.It is difficult to ensure optimal operation when formulating an operation scheme based on experience,and the decision-making time is long and the efficiency is low.Comprehensive consideration of pipeline characteristics,oil physical properties,environmental temperature and other influencing factors,research on the theory and method of optimization of production and operation scheduling of hot oil pipelines will help improve decision-making efficiency and reduce operating energy consumption.For a hot oil pipeline in the cold area,a research on the optimization technology of production operation scheduling was carried out,and the main results are as follows:First,analyze the process flow and production operation data of the hot oil pipeline in the cold zone,and test the physical parameters such as the density,specific heat capacity,freezing point and viscosity of the crude oil transported by the pipeline.The optimized fitting technology was used to establish the thermal and hydraulic correction calculation models between the oil pipeline stations.The average errors of the thermal calculation were 5.5%,4.4%,and 3.7%;the average errors of the hydraulic calculation were 5.1%,4.6%,and 3.8%,respectively.The smaller the error,the more accurate thermal and hydraulic calculations can be made.The research established the optimization model of the production and operation parameters of the hot oil pipeline under the given transportation volume.The model is based on the premise that the pipeline energy-consuming equipment opening plan is determined,the oil temperature,oil pressure design variables are used,and the total energy consumption cost is the lowest as the objective function.This model is a multi-constraint nonlinear optimization design problem,which is solved by an efficient firework algorithm.Taking each equipment opening plan,oil transportation temperature,and oil delivery pressure as design variables,and taking the lowest total energy consumption cost as the objective function,an optimization model for the opening plan of hot oil pipeline equipment under a given transportation volume is established.This model belongs to a mixed variable optimization design problem,and uses a mixed ant colony-firework algorithm to solve the problem.The research established the monthly oil delivery task optimization model of the hot oil pipeline.Under the premise that the monthly total pipeline transportation volume is determined,the model takes the lowest total energy consumption cost as the objective function to optimize the best distribution stage,distribution amount,distribution time,distribution equipment opening plan,and distribution oil temperature And oil delivery pressure.According to the structural characteristics of the model,a hybrid particle swarm-ant colony-firework algorithm is used to solve the problem.On the basis of theoretical research work,the "Software for Optimal Operation of Hot Oil Pipelines in Cold Regions" was compiled.The software can realize the functions of pipeline basic data management,system simulation calculation,pipeline operation optimization and so on.The example calculation shows that the oil transportation cost is greatly affected by the ambient temperature and the oil transportation temperature.When the transportation volume is 6000t/d and 8,500t/d,the total cost of oil transportation in winter is163.8% and 78.3% higher than the total cost of oil transportation in summer.;When the oil temperature rises from 30°C to 35°C,the average total cost increases by 22.4% and 8.6%respectively.When the total transportation volume in March was 255,000 tons,the total cost after optimization was reduced by 40.35% compared to the total cost before optimization;when the total transportation volume in May was 281,000 tons,the total cost after optimization was reduced by 33.85% compared with the total cost before optimization,and the optimization effect was obvious.