Machine Learning Applications in Petroleum Production Data - Lecture 2
Offered By: PioPetro via YouTube
Course Description
Overview
Explore the second lecture in a four-part series on machine learning applications in petroleum production data, delivered by Dr. Rami Aloush as part of PioPetro's Summer Training 2024. Delve into the intersection of petroleum engineering, energy transition, geology, petrophysics, and machine learning during this 1-hour and 25-minute session. Gain valuable insights into how advanced data analysis techniques are revolutionizing the oil and gas industry, enhancing production efficiency, and contributing to sustainable energy practices.
Syllabus
Machine Learning Applications in Petroleum Production Data by Dr. Rami Aloush, Lecture 2/4
Taught by
PioPetro
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera