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Systems Engineering Approach to Drilling Automation

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Course Credit: 0.15 CEU, 1.5 PDH

Lately, digital twins have rapidly gained in popularity, spurred by several successes in drilling systems automation efforts. In this talk, we will touch upon how traditional Model-Based Design (MBD) is the starting point for the digital twin. By using this systems engineering approach, engineers can create executable specifications, use models to evaluate complex physical interactions and detect errors earlier when the cost to fix them is less. Key to this is automated code generation which allows for quick deployment to the field. The code can be used for system on-target rapid prototyping or embedded code deployment. Finally, verification and validation using MBD enables detection of design errors and incorrect requirements early in the development process saving you valuable time and improving product quality.

This approach allows for models to be treated as the sole source of truth and enables a focus on design and integrating the development process. The digital twin then carries this forward and serves as a real-time data hub, allowing for reference to designed or expected performance and continuous offsite monitoring.

All content contained within this webinar is copyrighted by Samvith Rao and its use and/or reproduction outside the portal requires express permission from Samvith Rao.

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 1 chapter

Course Chapters

  • 1Systems Engineering Approach to Drilling Automation - Chapter 1
    Media Type: Video

Credits

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

Speakers

Samvith Rao