Abstract: Pulse well test is one of interference well tests and conventional methods used to explain parameters can be summarized as tangent method, secant method, plate fitting and parameter matching method. The above methods are all using some special points selected in the production data to match the standard plates when explain the parameters. These methods are characterized by low utilization rate of data, slow explaining rate and poor fitting accuracy. Aiming at these disadvantages, pulse well test wellbore storage and skin factor model was established in this paper, combined with nonlinear regression techniques, an optimal analysis method using bounded trust region was proposed to solve 6 parameters in pulse well test model which include energy storage coefficient, flow coefficient, skin factor, wellbore storage coefficient. Pulse well test production data of one reservoir was fit with this method, and the maximum relative error of fitted values is 6.49% and the average error is only 2.98%. Meanwhile, the method belongs to automatic fitting technique, not affect by human factors, and has super- linear fitting speed.