Registration Deadline: 28 February
The SPE Drilling Uncertainties and Prediction Technical Section (DUPTS) was established to support drilling planning and execution challenges through the use of artificial intelligence (AI), machine learning (ML), and data science solutions. The DUPTS 2022 Computer Vision Competition for students held by the section is now open and accepting registrations.
DUPTS currently has more than 2,000 members distributed globally, covering national oil companies, international oil companies, academia, and service companies. To promote the use of AI in the industry, the 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, the competition is extended to the use of ML to automatically diagnose root cause of bit failure from bit images.
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.
Registration: Students can register for this competition as individuals or in a team of 2-5 members. Non-students can be part of the team as long as the team has at least one student.
Data: Training data for this competition will be provided to the students. They are however free to use any additional datasets they have access to.
Evaluation: The work will be evaluated by subject matter experts in drilling and data science. The solutions will be evaluated based on the following criteria:
● The accuracy of the algorithm in detecting the root cause of bit failure
● Robustness of the solution
● Technical details presented in the report
The top 3 solutions will be awarded prize money and an opportunity to present during the DUPTS monthly webinar.
To learn more, visit the SPE DUPTS website and download the information pack here.