Drilling of oil field is always accompanied with risk factors in regard of safety and investments. A branch of science called as Enhanced Drilling Reach (EDR) is dealing with the steps and procedures to be taken for prevention of risks and enhancement of drilling quality for optimizing the oil projects worthiness i.e. efficiency. EDR is usually involves methods to evaluate the maximum depth of oil well, however, the most proposed methodologies in the related literate can be using the Artificial Neural Network logic to predict the drilling parameters whereas drilling efficiency is maximized. In this article, we proposed a novel approach that proactively analyze the risks of drilling oil wells. The performance of the said approach is tested with various situations and the same is reported a noticeable safety and economical efficiencies. The study that based on Artificial Neural Network is applied on EE123 petrol field in south Libya is aimed to predict the safety of drilling the said well i.e. EE123 before actually it been drilled; the result of this study shows that only 54% is the safety level if this well world been drilled. Keywords: Libyan Economy, Oil, Gas, Layers, Field, Assessment, Neural Network, Pre-processing.