This webinar features a 45-minute presentation by Mr. Rocky Roden (CV below), an industry thought leader, and Senior Consulting Geophysicist for Geophysical Insights. An interactive Q&A with Mr. Roden will follow his presentation.
Title: What Interpreters Should Know About Machine Learning | Presenter: Rocky Roden | Date: Tuesday, 5 May 2020
Topics and questions to be addressed:
- Why Machine Learning now?
- Address terminology confusion
- Types of Machine Learning
- Case studies
- Machine Learning and the “Black Box” connotation
- Machine Learning and compute power
- Future trends
Our lives are intertwined with applications, services, orders, products, research, and objects that are incorporated, produced, or effected in some way by Artificial Intelligence and Machine Learning. Buzz words like Deep Learning, Big Data, Supervised and Unsupervised Learning are employed routinely to describe Machine Learning, but how do these applications relate to geoscience interpretation and finding oil and gas. More importantly, do these Machine Learning methods produce better results than conventional interpretation approaches? This webinar will initially wade through the vernacular of Machine Learning and Data Science as it relates to the geoscientist. The presentation will review how these methods are employed, along with interpretation case studies of different machine learning applications. An overview of computer power and machine learning will be described. Machine Learning is a disruptive technology that holds great promise, and this webinar is an interpreter’s perspective, not a data scientist. This course will provide an understanding of how Machine Learning for interpretation is being utilized today and provide insights on future directions and trends.