Apart from its main task of creating the wellbore, the drill bit can act as a valuable field laboratory for data gathering. Automatically the drilling rig captures critical information such as weight on bit and torque for calculating the forces being applied to remove the rock ahead of the bit. With proper understanding of the physics behind the drilling process, these forces can then be used to determine the geomechanical properties and stress state of the formation being penetrated. Ultimately, these properties represent many of the most critical inputs for successfully and efficiently drilling and completing wells. Over the past few years, drilling data has been compared against a wide catalog of core- measured and log-derived geomechanical properties from reservoirs around the world. The results of these studies have resulted in physics-based models for transforming drilling data into high resolution geomechanical logs and pressure models. By calculating wellbore failure criteria and minimum mud weight at multiple well deviations, optimal casing, kick-off, and lateral landing points have been identified and optimized. This talk will present a unique workflow for identifying these parameters through exploitation of data already on hand – the drilling parameters – and how to utilize them to optimize drilling and completions.