Petroleum Data Analytics and Machine Learning

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