Drilling Optimization is a main drive to reduce overall well cost. The current practice of performing drill off tests, whenever the founder point is reached, increases the risk of reducing bit life, wasting rig time, and depending on crew competency to find the best parameters. In other cases drilling with maximum parameters might lead to stuck or bit damage as shown in (figure-1).This research study as part of my MSc thesis in Robert Gordon University (RGU) aims to present a tested technique of real time optimization of drilling parameters using multiple regression analysis with an 8x8 matrix and 8 variables. The objective is to establish relationships between different drilling parameters and design a real-time optimization system for achieving the best Rate of Penetration (ROP) in drilling operations. The model incorporates offset data and subsurface conditions to predict ROP with an accuracy of over 90% compared to actual ROP. Additionally, the model has been enhanced with a bit tooth wear model to optimize both ROP and the longevity of the drilling section.