Automated Interpretation Using Machine Learning for Petroleum Engineering
Offered By: PioPetro via YouTube
Course Description
Overview
Explore the cutting-edge application of machine learning in automated interpretation for petroleum engineering, energy transition, geology, and petrophysics in this comprehensive 1-hour 23-minute lecture by Dr. Ali Bakr. Gain valuable insights into how artificial intelligence is revolutionizing the field of petroleum engineering and its related disciplines. Discover the latest techniques and methodologies used to streamline data analysis, improve decision-making processes, and enhance overall efficiency in the oil and gas industry. Delve into the intersection of traditional petroleum engineering practices and modern machine learning algorithms, and understand how this fusion is shaping the future of energy exploration and production.
Syllabus
Automated interpretation using Machine Learning by Dr. Ali Bakr
Taught by
PioPetro
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent