SEG 2019 – San Antonio

SEG 2019 Banner
Geophysical Insights is featuring two new off-the-shelf, deep learning applications in the Paradise® AI workbench
Seismic Facies Classification and Fault Detection

STOP BY BOOTH #1038 FOR A DEMONSTRATION

SEG 2019, 15-20 September
Booth #1038

Solving interpretation problems with deep learning and machine learning technologies

Visit booth #1038 to hear industry thought leaders present applications of machine learning and deep learning technologies to seismic interpretation in different geologic settings.  Learn how technologies like GPU processing will change and enable geoscience workflows.  Here are a few of the topics:

  • Seismic facies classification using deep learning
  • Net reservoir discrimination through multi-attribute analysis
  • Thin bed detection with unsupervised machine learning
  • Case studies of machine learning in geologic settings
  • GPU processing for attribute generation

Geophysical Insights will be hosting daily lunch & learns at booth 1038 with featured talks by Fabian Rada, Dr. Tom Smith, and Dustin Dewett. Register for the lunch & Learns with the form on this page.

Gain Access to 2019 SEG Booth Presentations or Register for a Lunch & Learn

Speakers & Presentations

Dustin Circle
Dustin Dewett

Product Manager, Geophysical Insights
Seismic Facies Classification and Fault Detection using Deep Learning

Mike Dunn
Mike Dunn

SVP of Business Development, Geophysical Insights
Generating Attributes on GPUs

reynaldo-gomez
Reynaldo Gomez

Energy Account Manager, NVIDIA
Generating Attributes on GPUs

Bob-Hardage
Dr. Bob Hardage

Geoscience Adviser, Geophysical Insights
Machine Learning Geobodies in the Wolfberry Play of the Permian Basin
Exposing Karst Topography in the Deep Ellenberger of the Permian Basin through Machine Learning

Carrie
Dr. Carrie Laudon

Senior Geoscientist, Geophysical Insights
Machine Learning Improves Stratigraphic Resolution in the Niobrara

Image of geophysicist Ivan Marroquin, PhD
Dr. Ivan Marroquin

Senior Research Geophysicist, Geophysical Insights
Studies in Automated Optimization for Multi-Attribute Classification

Fabian Rada
Fabian Rada

Senior Adviser to PEMEX, Petroleum Oil & Gas Services
Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale

Rocky Roden Square Medium 500 px
Rocky Roden

Senior Geophysicist, Geophysical Insights
Comparing Machine Learning Methods and the Black Box Perception
Machine Learning on the Geoscience Technology Adoption Cycle

Deborah Sacrey
Deborah Sacrey

Senior Geoscientist, Geophysical Insights
A Journey through Paradise – Case Histories in Different Depositional Environments

Dr Tom Smith
Dr. Tom Smith

Thin Bed Detection with Unsupervised Machine Learning
Mathematical Foundation for Machine Learning of Multi-Attribute Seismic Surveys

For a printable version of the schedule, click here

Presentation Schedule

Time Monday, 16 Sep Tuesday, 17 Sep Wednesday, 18 Sep
9:30-10:00 Exhibition opens at 10 AM Deborah Sacrey: A Journey through Paradise – Case Histories in Different Depositional Environments Deborah Sacrey: A Journey through Paradise – Case Histories in Different Depositional Environments
10:30-11:00 Bob Hardage: Machine Learning Geobodies in the Wolfberry Play of the Permian Basin Rocky Roden: Comparing Machine Learning Methods and the Black Box Connotation Carrie Laudon: Machine Learning Improves Stratigraphic Resolution in the Niobrara
12:00-1:00 Fabian Rada: Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale Tom Smith: Thin Bed Detection with Unsupervised Machine Learning Dustin Dewett: Seismic Facies Classification and Fault Detection using Deep Learning
1:30-2:30 Mike Dunn and Reynaldo Gomez: Generating Attributes on GPUs Carrie Laudon: Machine Learning Improves Stratigraphic Resolution in the Niobrara Rocky Roden: Machine Learning on the Geoscience Technology Adoption Cycle
3:00-4:00 Tom Smith: Mathematical Foundation for Machine Learning of Multi-Attribute Seismic Surveys Dustin Dewett: Seismic Facies Classification and Fault Detection using Deep Learning Bob Hardage: Exposing Karst Topography in the Deep Ellenberger of the Permian Basin through Machine Learning
4:30-5:30 Dustin Dewett: Seismic Facies Classification and Fault Detection using Deep Learning Ivan Marroquin: Studies in Automated Optimization for Multi-Attribute Classification Exhibition closes at 4:30 PM
  • Registration confirmation will be emailed to you.

  • We're committed to your privacy. Geophysical Insights uses the information you provide to us to contact you about our relevant content, events, and products. You may unsubscribe from these communications at any time. For more information, check out our Privacy Policy

    Scroll to Top