Intelligent Optimal Wiring for Unsteady Flow Pumping Test of Submersible System
Accurate solution of hydrogeological parameters is the premise of groundwater numerical simulation,groundwater resource evaluation and development.Based on the depth-time data of pumping test,Random Weight Parti-cle Swarm Optimization(RandWPSO)algorithm was used to intelligently optimize the solution of Bolton model consider-ing feed water lag,and realized the inversion of hydrogeological parameters of unsteady flow in submersible complete wells.The results show that the accuracy r/D value of curve fitting parameter selected by RandWPSO algorithm is 0.175 3,which is higher than 0.2 manually selected.This method significantly improves the accuracy of inversion pa-rameters and can provide reference for the problems that the standard curve fitting method of curve family is difficult to apply in practice.
万方数据
维普
