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Study on Parameter Optimization of Combined Network of Pipeline Based on the Genetic Algorithm

Zhang Guang-sheng

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Abstract

In the research of pipelines system in the oil field,parameter optimization is a very important problem.In this paper,for this multi-object nonlinear programming problem,the genetic algorithm was adopted to optimize structural parameters of networks.Some models for optimum calculation including object function,hydraulic model,thermodynamic model and network analytic model were established.And the result about the genetic algorithm was got.

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What this paper is about

In the research of pipelines system in the oil field,parameter optimization is a very important problem.In this paper,for this multi-object nonlinear programming problem,the genetic algorithm was adopted to optimize structural parameters of networks.Some models for optimum calculation including object function,hydraulic model,thermodynamic model and network analytic model were established.And the result about the genetic algorithm was got.

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Available abstract

In the research of pipelines system in the oil field,parameter optimization is a very important problem.In this paper,for this multi-object nonlinear programming problem,the genetic algorithm was adopted to optimize structural parameters of networks.Some models for optimum calculation including object function,hydraulic model,thermodynamic model and network analytic model were established.And the result about the genetic algorithm was got.

Key concepts: Genetic algorithm, Pipeline (software), Mathematical optimization, Meta-optimization, Computer science, Nonlinear system, Nonlinear programming, Pipeline transport

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