Abstract
Pressure transient testing provides an indirect determination of reservoir and well parameters, it is one of the most essential techniques used to provide details about the reservoir characteristics and well conditions. There are several tests available to properly characterize well and reservoir parameters, in this study, drawdown test is considered with an objective to obtain permeability and skin of a reservoir within the drainage area, from a pressure survey data. Several methods have been developed to obtain skin and permeability from drawdown
test, the conventional method uses the graphical technique where the pressure and time data are analyzed with a semi-log plot. The results obtained do not equate the actual parameters of the reservoir, therefore, there is a need to optimize this error. This study is focused on minimizing the error in the mathematical model with particle swarm optimization algorithm. The manual analytical method and the particle swamp algorithm were done in Microsoft Excel. Data was obtained from a well in the Niger Delta region of Nigeria. The results from the algorithm showed a higher level of accuracy, compared to the results obtained from the manual analytical method. The statistical analysis indicates a better result with the particle swamp optimization algorithm, with a relative error of 0.0510 against the 3.9743 from the conventional method. Also, correlation coefficient, R-value of 0.9999 against 0.4733 from the conventional method.