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Rock Type Classification Using Machine Learning

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Course Credit: 0.15 CEU, 1.5 PDH

Rock mechanical properties are essential for drilling programs, well placement and well-completion design. Facies classification helps to improve estimates of rock mechanical properties by identifying a rock type from geophysical data. A facies classification open challenge, organized by the Society of Exploration Geophysicist (SEG), investigated the application of artificial intelligence and pattern recognition techniques to identify complex patterns in the geophysical data which were impossible for humans to explore. The advent of artificial intelligence (AI) and technological advancements in computing and big data infrastructure, enables us to apply the process knowledge in less time and with minimal experience. Machine learning algorithms can extract patterns from data and make predictions based on these patterns. This webinar illustrates the workflow of machine learning algorithms followed in the SEG machine learning contest and how it is determining the rock type classification.

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 1 chapter
  1 downloadable resource

Course Chapters

  • 1Rock Type Classification Using Machine Learning - Chapter 1
    Media Type: Video

Credits

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

Speakers

Mukhammad Taufan Rusady
Sridharan Chandrasekaran