Video

This webinar features a 60-minute presentation by Dr. Carrie Laudon, a Senior Consulting Geophysicist for Geophysical Insights. 

Dr. Tom Smith explains the advantages of using machine learning to analyze multiple attributes of seismic surveys simultaneously, including specific case studies.

Dr. Tom Smith presents an e-course on Machine Learning Essentials for Seismic Interpretation originally hosted by the Geophysical Society of Houston. Enroll today!

Dr. Tao Zhao discusses how deep learning technology, namely convolutional neural networks (CNN), is revolutionizing seismic data interpretation like seismic facies classification and fault detection. (In Chinese)

Dr. Tao Zhao discusses how deep learning technology, namely convolutional neural networks (CNN), is revolutionizing seismic data interpretation like seismic facies classification and fault detection.

An Introduction to Paradise 3.2

Deborah Sacrey, Owner and Geophysicist of Auburn Energy, provides a review of the various attribute categories and their possible machine learning application to solve problems in seismic interpretation.

Machine Learning is a subset of Narrow AI that does pattern classification. It’s an engine – an algorithm that learns without explicit programming.

Dr. Tom Smith explains “What is Big Data” and it’s impact on the oil and gas industry in this short concept video.

A review of the various attribute categories and their possible application.

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