An Application of GA on Gas Lift Parameters Optimization

Abstract:

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.

• Periodical: Advanced Materials Research (Volume 402)
• Pages: 654-659
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.402.654
• Online since: November 2011
• Authors: Yan Qiang Wu, Xiao Dong Wu, Teng Fei Sun, Jing Fei Tang
• Keywords: GA, Gas Lift Design, Gas Lift Efficiency, Non-Linear Optimization, OMSGA

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