EAGE 2019, 3-6 June
Booth #740

Solving interpretation problems with deep learning and machine learning

Visit booth #740 to hear industry thought leaders present findings from applying 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
  • Applications of machine learning on North Sea data
  • Comparing machine learning methods
  • Multi-spectral fault enhancement using deep learning
  • GPU processing for attribute generation
  • Case studies in different depositional environments

For a printable version of the booth schedule, click here.

Time Tuesday, 4 June   Wednesday, 5 June   Thursday, 6 June  
9:30 – 10:30

Multiple Seismic Attributes and Machine Learning: North Sea Examples 

Tim Gibbons

Multiple Seismic Attributes and Machine Learning: North Sea Examples 

Tim Gibbons

Multiple Seismic Attributes and Machine Learning: North Sea Examples

Tim Gibbons

10:30 – 11:30

A Journey through Paradise – Case Histories in Different Depositional Environments

Deborah Sacrey

A Journey through Paradise – Case Histories in Different Depositional Environments

Deborah Sacrey

A Journey through Paradise – Case Histories in Different Depositional Environments

Deborah Sacrey

13:30 – 14:30

Generating Attributes on GPU

Paul Holzhauer and Mike Dunn

Finding the Best Attribute Combination for Seismic Facies Classification

Kurt Marfurt

Machine Learning on the Geoscience Technology Adoption Cycle

Rocky Roden

14:30 – 15:30

Accelerate Seismic Interpretation with Deep Learning

Dustin Dewett

Accelerate Seismic Interpretation with Deep Learning

Dustin Dewett

Introduction to Multi-Spectral Fault Enhancement with Case Studies

Dustin Dewett

15:30 – 16:30

Comparing Machine Learning Methods and the Black Box Perception

Rocky Roden

Machine Learning Applied to 3D Seismic Data from the Denver Julesburg Basin –  Improved Stratigraphic Resolution in the Niobrara

Mike Dunn

 

Access to 2019 EAGE Booth Presentations


Speakers & Presentations

Dr. Kurt Marfurt

Guest Speaker – The University of Oklahoma
Principal Investigator, AASPI Consortium

Finding the Best Attribute Combination for Seismic Facies Classification

Paul Holzhauer

Guest Speaker – NVIDIA
Director of Oil and Gas

Generating Attributes on GPU

Rocky Roden

Senior Geophysicist

Comparing Machine Learning Methods and the Black Box Perception

Machine Learning on the Geoscience Technology Adoption Cycle

Dustin Dewett

Product Manager

Accelerate Seismic Interpretation with Deep Learning

Introduction to Multi-Spectral Fault Enhancement with Case Studies

Deborah Sacrey

Senior Geoscientist

A Journey through Paradise – Case Histories in Different Depositional Environments

Mike Dunn

Senior Vice President, Business Development

Machine Learning Applied to 3D Seismic Data from the Denver Julesburg Basin –  Improved Stratigraphic Resolution in the Niobrara

Hal Green

Director – Marketing & Business Development

For more information, contact Hal at (M) +1 (713) 480-2260

Tim Gibbons

Geoscience Consultant

Multiple Seismic Attributes and Machine Learning: North Sea Examples 

Access to 2019 EAGE Booth Presentations