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An Application Of GA On Gas Lift Parameters Optimization

机译:GA对气升参数优化的应用

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摘要

This paper has created a rapid optimum method to design the gas lift parameters. Optimal Containment Genetic Algorithm (OMSGA) is applied in this method to optimize the parameters such as mass flow rate(Q), volume of gas injection(Qin), injection pressure(Pin), tubing header pressure(Pt), tubing inside diameter(Dt). According to practical situation of gas lift production, the gas lift efficiency (η) is selected as the objective function, the suitable fitness function and value of operators of OMSGA are given, and reasonable convergence delay-independent conditions is set. Based on the intelligence and global quick search of GA and the convergence of OMSGA, the design parameters of gas lift can be globally optimized quickly and accurately. An example is taken to prove that the application of GA in the field of gas lift production is successful. This new optimization method based on GA can provide guide for field design.
机译:本文创建了一种快速最佳设计,用于设计气体升力参数。在该方法中应用最佳容纳遗传算法(OMSGA),以优化诸如质量流量(Q),气体喷射量(Qin),注射压力(引脚),管镦压(PT),管内直径( dt)。根据天然气升力生产的实际情况,选择气体提升效率(η)作为目标函数,给出了OMSGA的运营商的合适健身功能和价值,并设定了合理的会聚延迟条件。基于GA的智能和全球快速搜索OMSGA的收敛,气体升力的设计参数可以快速准确地优化。采取一个例子来证明Ga在天然气升力生产领域的应用是成功的。基于GA的这种新的优化方法可以为现场设计指导提供。

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