Long Oil Pipeline Design Optimization Study

Oil pipeline, demanding gigantic investment and operating costs, is one of the most important infrastructures in the petroleum industry. This thesis, after analyzing the domestic and foreign achievements of optimized operation and design technology for oil pipeline with drag reducer, does further research in the optimized design for oil pipeline and design plans evaluation. The aim of our research is to upgrade pipeline design conception and patterns, shorten the design period, improve the design quality, reduce the infrastructures investments and operating management costs and increase the economic, technologic and social benefit of the design enterprise.Through the analysis of the regular patterns and the features of the crude oil pipeline transportation with drag reducer, this thesis believes that the flow rate Q, viscosity and the diameter d , to varying degrees, affect both drag reducing efficiency and drag reducer concentration. Under this condition, the formula, which is used for pressure drop calculation is not applicable. Therefore, we set up two mathematic models on the relationships between the pressure drop hDR and Q, , d and between drag reducer concentration C and Q, , d. The models lay a foundation of setting up the mathematic models for the pressure drop calculation in the crude oil pipeline with drag reducer, the wastage of drag reducer and the optimized design. According to the feature that the two models calculation of pressure drop hDR and the drag reducer concentration C are non-linear, we get the recursive parameters from the two models by genetic arithmetic (GA) optimizing technology, taking the methodology of solving the problem from the opposite.For the first time in the establishment of the optimized design mathmetic models for crude oil pipeline, we, in this thesis, take into account the effect of drag reducer injection on power costs, heat energy costs, heating and pumping station investment and pipeline investment and the effect of the investment of the drag reducer itself on objective function .The optimized design mathematic models for crude oil pipeline with drag reducer are non-linear programs with non-linear restriction and mixed discrete variables. According to this point, the thesis takes the tactic of combining genetic arithmetic with mixed discrete variable, multiple forms with mixed discrete variable with database technology to solve the models. It is remarkable in ensuring the reliability and veracity of the optimized solutions and accelerating the searching for the optimized solutions.For the first time in this field , we put forward "Generalized Methods of Optimized Design for Pipeline". That is, establishing the optimized design system for pipeline: (1) themodeling of optimized design for pipeline ; (2) the solutions and programming of the optimized design models for pipeline; (3) the evaluation for the optimized design plans for pipeline; (4) the general purpose of optimized design plans for pipeline. And the evaluation system for optimized design plans for pipeline includes: (1) evaluations of the optimized plans as a whole (The multi-objective decision method for entropy weight coefficient in this thesis.) ;(2) the analysis of the sensitivity of the optimized models (The changing design variable approach is used here.)Calculations confirm that only with large transportation amount, full load and low electricity price over a long period of time can we apply the technology without drag reducer. We must consider the effect of the price change of drag reducer, electricity and fuel on annual overall costs and operating management costs when we make transporting plans with drag reducer for optimized design. It is neither scientific nor economical to make transporting plans with drag reducer for optimized design blindly.Combining crude oil transportation theory, optimized theory, multi-objective decision for entropy weight coefficient method with the theory of Decision Support System with Computer, we get the framework of the software "Crude Oil Pipeline Design Optimized Select...