The Drilling Uncertainties and Prediction Technical Section (DUPTS) of the Society of Petroleum Engineers was established to support drilling planning and execution challenges through the use of artificial intelligence, machine learning and data science solutions. DUPTS currently has more than 2,000 members distributed globally, covering NOC, IOC, academia, and service companies.
To promote the use of AI in the industry, this section organized a student competition last year with the goal of developing ML techniques to detect, assess and correct real–time drilling sensor data. This year, we extend the competition to the use of ML to automatically diagnose root causes of bit failure from bit images.
Any teams wishing to enter this contest or learn more about DUPTS should review this notice provided by the contest committee. Registration forms and contact information are included in the notice.
Task Goal
● Develop an algorithm, that when given a set of bit images, will identify the root cause of drill bit failure.
● Bit photos will be provided for the purpose of training. Evaluation will be done on a blind set of bit photos.
