Well test is a reservoir engineering technique by which some of important specifications of reservoirs, including permeability, initial pressure and skin effect can be calculated. The analysis of well test data is based on the variations of bottom-hole pressure versus time. At the initial stages of well testing, bottom-hole flow rate is very high due to wellbore storage effect. This makes the analysis of well test data very difficult because the tests have a short duration. The interpretation of such data demands the accurate measurement of flow rate from the very beginning of such tests. In addition, down-hole measurement devices are very costly with low accuracy at lower flow rates. This is another serious challenge. Different deconvolution techniques are used to interpret initial pressure data affected by wellbore storage effect. This study used only the pressure response of the wellbore storage area to interpret well test data of two wells of a fractured reservoir in Iran and compared the obtained results with Horner’s well test results. In addition, it used three MATLAB coding-based techniques namely material balance method, beta method and Russel’s method for deconvolution purposes. The obtained results indicated the relative efficiency and appropriate accuracy of the techniques.
