SPE-DUPTS Students Competition

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Competition Introduction

The Drilling Uncertainties and Prediction Technical Section (DUPTS) 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.

As more real-time data is being used for machine learning models to make critical decisions in drilling operations, it is critical to ensure sensor data are of good quality. The goal of this competition is to develop methods to detect, assess and correct real-time drilling sensor data.
SPE-DUPTS Competition Registration Form

Guidelines

The competition aims to address tasks below:

  • Develop an algorithm, that when given a set of bit images, will identify the root cause of drill bit..
  • Bit photos will be provided for the purpose of training. Evaluation will be done an 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 Expert 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.

Deliverables

The required deliverable are two fold:

  1. An exe file, or a web page onto which test bit images can be loaded to be diagnosed and graded. The software or webpage should provide an automated report indicating the cause of damage of the drill bit.
  2. A report detailing the approach. The report should contain the following details:
    • Abstract
    • Literature Review
    • Approach Methodology
    • Testing and Validation Result
    • Conclusion
    • List of Team members

Timeline

  • Announcement: Jan 15th, 2022
  • Registration Deadline: Feb 28th, 2022
  • Guest lectures by SME on topics related to Drill Bit Forensics: March, 2022
  • Draft Report Submission: May 10th, 2022
  • Final Report and Software Deadline: May 30th, 2022
  • 2022 Winners Announcement: May 30th, 2022
  • Presentation: July, 2022