Events

Machine Learning for Automated Seismic Facies Classification in Paradigm 17

February 21 - 22, 2017
Paradigm Office
820 Gessner Road, 4th Floor
Houston, TX
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Presented by:  Peter Wang, Technical Sales Advisor

Lunch & Learn – Tuesday, February 21

11:30 AM to 12:00 PM (CST) - Networking Lunch
12:00 PM to 1:00 PM (CST) - Presentation

We have reached the maximum capacity for the Lunch & Learn session. Please register below to join us for a live Webinar.

Webinar – Wednesday, February 22

Presentation – 9:00 AM to 10:00 AM (CST)

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Contact: Carmen Comis at Carmen.Comis@pdgm.com, or call 713-393-4800.


Abstract

Machine Learning for Automated Seismic Facies Classification in Paradigm 17
The further evolution of Stratimagic® and SeisFacies®

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Rock Type Classification calibrated to wells on a carbonate reef reservoir.

Machine Learning is revolutionizing our lives, in areas as disparate as self-driving cars to facial recognition algorithms that now score higher recognition scores than live human viewers.  Seismic interpretation is also being altered by machine learning.  Below is a 3D lithofacies volume which was created by machine learning applied to a 3D prestack seismic volume, using the Rock Type Classification algorithm. Previously only a service offering, this is now a new software offering in Paradigm 2017.

Within a few minutes, Rock Type Classification had classified, using facies logs at well locations, a 3D prestack seismic volume, and had returned a 3D volume consisting of rock classes: silicoclastics, bioherm (tight, wet or oil), limestone, shaly limestone, interbedded, and biostrom (tight, wet or oil).  It enabled the user to sidestep a traditional QSI (AVO & Inversion) project, which would have taken longer to complete.  Rock Type Classification is very easy to use, being fully integrated with the 3D Canvas interpretation workspace - the user doesn’t have to open another application.

Waveform Classification (part of the Stratimagic product) has also been fully integrated with the 3D Canvas interpretation workspace in Paradigm 2017, and it is now possible to do the classification task while engaged in interpretation, without interruption.

We invite you to hear our presentation on how Machine Learning is changing the seismic interpretation landscape, and see demonstrations of the new Rock Type Classification and Waveform Classification algorithms, integral parts of the 3D Canvas workspace in Paradigm 2017.


Biography

Peter-Wang_sm.jpgPeter Wang is a Technical Sales Advisor with Paradigm. He has an MS in Geophysics and an MBA from the University of Houston, and is a Texas Licensed Professional Geoscientist (“PG”). He has a thirty-year history in the geophysical industry, having worked for Schlumberger, Amoco Production Company, and Kelman Seismic Processing.​