Machine Learning Applications in Petroleum Production Data - Lecture 1

Explore the intersection of machine learning and petroleum engineering in this comprehensive lecture, the first of a four-part series delivered by Dr. Rami Aloush as part of PioPetro's Summer Training 2024. Delve into the applications of machine learning techniques in analyzing and interpreting petroleum production data, gaining insights into how these advanced technologies are revolutionizing the energy industry. Discover the potential of AI-driven solutions in enhancing production efficiency, optimizing reservoir management, and contributing to the ongoing energy transition. This 83-minute session covers fundamental concepts in petroleum engineering, geology, and petrophysics while introducing machine learning principles relevant to the field. Gain valuable knowledge that bridges traditional petroleum engineering practices with cutting-edge data science methodologies, preparing you for the future of energy exploration and production.

Machine Learning Applications in Petroleum Production Data by Dr. Rami Aloush, Lecture 1/4