Chaotic time-series optimization algorithm for leakage aquifer parameters estimation
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Abstract:
Based on the analytical solution to well flow problem of unsteady flows in the first type leakage aquifer, the chaotic time-series optimization algorithm is employed to analyze the data of pumpling tests to determine aquifer parameters. Numerical simulation is conducted through analysis of the influence of the initial value of aquifer parameters and other factors on the convergence and results of the algorithm. The results show that:①chaotic time-series optimization algorithm can be effectively applied to the calculation problem of aquifer parameters; ②the initial value of leakage factor and the coefficient of storage and conductivity don’t have too much obvious effect on the search and results of the algorithm,except reduce the accurancy of results of leakage factor due to its initial value. Compared with other methods, the chaotic optimization method has such advantages as simple in principle of algorithm, easy to make program and to conduct, and the precision of aquifer parameters calculated is not affected by artificial subjective factors.