Topic: Data Science and Machine Learning in the Oil and Gas Industry: The Extent of our Knowledge
Speaker: Mr. Cornel Animba

Abstract:
It can be said that Data Science and Machine Learning have not only come to stay but will continue to evolve. Whereas the other domains and industries were quick to react and harness it, growing from mere blue chips to net worth of multi-billions, the oil and gas industry was rather slow to react. However, seeing the potential and value of these evolving technologies, the E&P industry has joined the bandwagon with as much vigor as others. This presentation explores the derivatives the E&P industry stands to gain from the evolution of Data Science and Machine Learning.
Is it possible to see how machine learning can be specifically tailored to oil and gas use cases, learn when to use machine learning, how it is already being used, and how to manage the data stream going forward, etc? With the different use cases and examples, this presentation explains aspects of Data Science/Machine Learning in different oil and gas projects by showcasing several real-life case studies. It is expected that the audience will learn to replicate or explore new projects for their organizations from the presentation and equally lead their teams through the journey of Data Science project(s) in the oil and gas industry circumventing the pitfalls and harnessing the business values.

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