Petroleum Data Analytics and Machine Learning
Texas A & M University-College Station
CoursePETE 419
Working knowledge about data analytics suitable for petroleum engineers and geoscientists; emphasis on implementing data-driven methods on various types of subsurface data; assembly of data-driven workflows and application of them on various types of subsurface data generated during petroleum engineering and geoscience operations and work on case studies that integrate various domains of petroleum engineering and geoscience
Credits
3 credits
Course Code
PETE 419
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