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Drilling Data Quality Control and Monitoring Using Artificial intelligence

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Course Credit: 0.15 CEU, 1.5 PDH

In this presentation, the winning teams of the SPE-DUPTS Drilling Data Competition will present their solution to address one of the major challenges in the drilling domain – Data quality. In 6 months, 15 teams were tasked to develop an innovative approach to detect, correct and measure the uncertainty in drilling sensor data. All content contained within this webinar is copyrighted by Rayana Alshehri, Lucas Andres Miranda Pinto and James Omeke and its use and/or reproduction outside the portal requires express permission from Rayana Alshehri, Lucas Andres Miranda Pinto and James Omeke.

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 1 chapter
  3 downloadable resources

Course Chapters

  • 1Drilling Data Quality Control and Monitoring Using Artificial intelligence - Chapter 1
    Media Type: Video

Credits

Earn credits by completing this course0.15 CEU credit1.5 PDH credits

Speakers

James Omeke
Lucas Miranda
Rayana Alshehri