Analyzing and predicting well production behavior is one of the critical tasks during designing subsurface production facilities. As a general practice, at a time one methodology is adopted to generate the production curves and with the passage of time as the history of the well becomes available it is also plotted on the same curves to have a history match and a reliable forecast. This practice requires a lot of time, as if the selected methodology proves wrong then another method have to be adopted and need to be verified at the same time. To overcome this time consuming and tedious practice a concept of parallel data generation using different methods at a time has been discussed with further modification in the existing methodologies by introducing a correlating function/ parameter. The in-house developed software based on the discussed methodology shows promising results for to be used in future.