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Edge Analytics at the Rig

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Course Credit: 0.15 CEU, 1.5 PDH

The traditional way to support remote drilling operations is through real-time operation centres. These RTOCs rely upon timely and accurate data from the wellsite in order to provide rapid support and responses in the event of well issues. Often there is a considerable lag in the time it takes for drilling data to be acquired, transmitted and analysed, so that critical incidents are not identified quickly enough. There is then a strong case for data analytics to be made at the point of acquisition.

The Big Data revolution is transforming the way that information can be stored and analysed, and machine learning can now be used to identify patterns of behaviour from offset well data, leading to the potential to predict non-productive time events such as a well kick or stuck pipe. By moving algorithms to the wellsite, the oil and gas industry will be able to take advantage of the new field of Edge Analytics. This webinar will discuss what will be needed to permit high frequency Edge solutions at the point of data acquisition.

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 1 chapter
  1 downloadable resource

Course Chapters

  • 1Edge Analytics at the Rig - Chapter 1
    Media Type: Video

Credits

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

Speakers

Jon Curtis