SPE Drilling Uncertainty Prediction Technical Section Competition Results: ML Techniques to Detect, Assess, and Grade Drill Bits from Bit Images Captured at the Drill Site

Quickly evaluating damage to drill bits at the end of a run can help optimize future drilling operations. Image capturing technology has developed to where bit photos with sufficient resolution for image processing can be easily captured at the rig site. Machine Learning (ML) has also improved significantly over the last decade. In 2022, the SPE DUPTS organized a university student competition to see if student teams could develop ML algorithms to automatically detect, assess and grade drill bits from bit images. This webinar showcases the approaches used by the top three winners of the competition.

SPE Webinars are FREE to members courtesy of the