Optimizing the structural parameters of downhole vortex tool in gas well using a genetic algorithm

Structural parameters of vortex tools affect the drainage of water producing gas wells, while previous research mostly focused on the optimization of individual parameters. This study aimed at establishing the optimal sizes of downhole vortex tools. The gas-liquid separation efficiency (SE) model and pressure loss model of the vortex tool were also established. A multi-objective genetic algorithm (GA) optimization process was designed to achieve the maximum SE and minimum pressure loss of the vortex tool. A sensitivity analysis was performed to investigate the impact of structural parameters on SE and pressure loss of vortex tools. It was found that an increase in the spindle diameter (DVT) and/or the helical height (HVT) and/or a decrease of the flow channel width (WFC) improved the SE of the vortex tool. In addition, reducing DVT and/or HVT and/or increasing WFC reduced the pressure loss of the vortex tool. A set of optimum combinations of structural parameters was obtained through GA with an average SE of 0.9982, an average pressure loss of 1513.3 Pa, and an average fitness function value of 0.0068. Field results showed that the optimized vortex tools were conducive for gas well drainage and improved gas production. An optimized method for designing the structural parameters in vortex tools has been proposed in this study. Our study findings are of great significance in improving the drainage capacity of water producing gas wells.