Impact of Machine Learning on Geoscience Interpretation: Five Significant Trends
Wednesday, 30 August 2023 at 16:40 US CDT (UTC-5)
Digitalization Pavilion | IMAGE 2023
Rocky Roden, Sr. Consulting Geophysicist for Geophysical Insights
Geophysical Insights is one of two sponsors of the Digitalization Theater at this year’s IMAGE conference. Rocky Roden, Sr. Consulting Geophysicist for Geophysical Insights, will present the “Impact of Machine Learning on Geoscience Interpretation: Five Significant Trends” at 4:40 PM on Wednesday, 30 August. Mr. Roden’s talk addresses the current impact of Machine Learning on E&P to future technologies like Quantum Computing. This is a compelling talk that you will not want to miss!
Contact us for more information and click here for more on the talks at Digitalization Pavilion.
Geoscience interpretation is grounded in physical laws discovered by the scientific community over multiple centuries. Machine learning is a data-driven solution that provides an augmented or different approach to interpretation workflows. Machine Learning has evolved to be a significant component in many of our routine activities and functions. However, the application of machine learning for geoscience interpretation is evolving and has not reached its full potential.
Five significant trends in machine learning related to geoscience interpretation include:
- Synthetic models
- Combining machine learning approaches
- Computer power
The future of geoscience interpretation will include various machine learning approaches, and understanding its impact is critical. Therefore, to incorporate more machine learning approaches in our geoscience interpretation workflows, machine learning processes must be proven to produce better results and perform interpretation workflows faster. In this presentation, Mr. Roden will address how advancements in these five trends are enabling interpreters to apply machine learning to obtain a deeper understanding of earth processes.
About Rocky Roden
Rocky R. Roden started his own consulting company, Rocky Ridge Resources Inc., in 2003 and works with several oil companies on technical and prospect evaluation issues. He is also a principal in the Rose and Associates DHI Risk Analysis Consortium and is a senior advisor to Geophysical Insights which provides machine learning technology for geoscience interpretation. Rocky is a proven oil finder with 47 years in the industry, gaining extensive knowledge of modern geoscience technical approaches.
Rocky holds a BS in Oceanographic Technology-Geology from Lamar University and an MS in Geological and Geophysical Oceanography from Texas A&M University. As Chief Geophysicist (retired) and Director of Applied Technology for Repsol-YPF, his role comprised of advising corporate officers, geoscientists, and managers on interpretation, strategy, and technical analysis for exploration and development in offices in the US, Argentina, Spain, Egypt, Bolivia, Ecuador, Peru, Brazil, Venezuela, Malaysia, and Indonesia. He has been involved in the technical and economic evaluation of Gulf of Mexico lease sales, farmouts worldwide, and bid rounds in South America, Europe, and the Far East. Previous work experience includes exploration and development at Maxus Energy, Pogo Producing, Decca Survey, and Texaco. Rocky is a member of SEG, AAPG, HGS, GSH, EAGE, and SIPES; he is also a past Chairman of The Leading Edge Editorial Board.