PETE 403G - Applications of Machine Learning in Petroleum Engineering

Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0

Data analytics for petroleum engineers and geoscientists. Emphasis on implementing data-driven analysis to subsurface data.

Repeatable Course: No

Prerequisite(s): STAT 325, PETE 215 with grade of “C” or better.
Pre/Corequisite(s): STAT 427G with grade of “C” or better.