Data Science and Machine Learning in Oil and Gas
By Dr. R. A. Leo Elworth
Data Science and Machine Learning in Oil and GasDec 15, 2019
Richard Copsey, Open Innovation Manager (Part 2)
Richard Copsey, Open Innovation Manager (Part 1)
Jenny Johnson, Emerging Technologies Incubation Manager (Part 2)
Jenny Johnson, Emerging Technologies Incubation Manager (Part 1)
Matt Morris, Project Geophysical Advisor (Part 2)
Matt Morris, Project Geophysical Advisor (Part 1)
Dilshad Akkam Veettil, Data Scientist (Part 2)
Dilshad Akkam Veettil, Data Scientist (Part 1)
Ingrid Tobar, Manager Data Science and Advanced Analytics (Part 2)
Ingrid Tobar, Manager Data Science and Advanced Analytics (Part 1)
Alex Bayeh, Data Science Technology Advancement Manager (Part 2)
Alex Bayeh, Data Science Technology Advancement Manager (Part 1)
Alex Bayeh walks us through his current projects, highlighting a project called the Tops Propagation Tool. He shares with us how the project began, their approach, and what examining brain waves from a zebrafish has to do with Well Logs.
Vincent LeMoine, Data Engineering Manager (Part 2)
After discussing the topic of data science and machine learning in part 1, we dig deeper into the oil and gas industry in part 2 of our interview. In part 2, Data Engineering Manager Vincent LeMoine gives his thoughts on how data science and machine learning can play a role in oil and gas specific problems, as well as some ideas on their place in the industry as a whole.
Vincent LeMoine, Data Engineering Manager (Part 1)
Data Engineering Manager Vincent LeMoine gives a fantastic introduction to the high-level topics of data science, machine learning, and oil and gas. He shares with us his take on what data science is and what skill sets are required to work in this area. After discussing the topic of data science and machine learning, we dig deeper into the oil and gas industry in part 2 of our interview.