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Deploying Machine Learning on the Oilfield: From the Labs to the Edge

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Course Credit: 0.15 CEU, 1.5 PDH

Deploying machine learning-based predictive models to the oil field is quite challenging. They are remote, hazardous, and have spotty connectivity to the cloud. The world of operationalizing a model is very different than the perfect lab environment where the models are born.

In this presentation, we will present the requirements of our oil and gas customers and explain how we were able to meet those requirements, such that we could deploy a new generation of analytics with a complete software engineering discipline and mentality around it by taking advantage of the Microsoft IoT Edge platform. This is currently a pilot project under way and, due to the engineering principles in place, we are able to complete a loop from the field to the lab and back again.

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Course Chapters

  • 1Deploying Machine Learning on the Oilfield: From the Labs to the Edge - Chapter 1
    Media Type: Video


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


Fahd Saghir
Matthieu Boujonnier