Access Presentations from EAGE 2019

FEATURED RESOURCES

Machine Learning is changing the way interpretation is done. Find out how these geoscientists are using machine learning to reveal unprecedented levels of detail in seismic data.

Data Analytics & AI Capabilities

 

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ATTRIBUTE SELECTION

Identify attributes having the greatest contribution among a set of attributes in a geologic region

MULTI-ATTRIBUTE CLASSIFICATION

Classify multi-attribute data to map the distribution of seismic facies that correlate with geology using the SOM machine learning process

ATTRIBUTE GENERATION

Generate attributes to extract meaningful geological information and as input to AI analysis

MACHINE LEARNING (ML) GEOBODIES

Calculate volumetrics and estimate recoverable hydrocarbons using Machine Learning (ML) geobodies

DEEP LEARNING (DL) SEISMIC FACIES

Capture seismic facies based on distinctive seismic amplitude patterns using deep learning technology

DEEP LEARNING (DL) FAULT DETECTION

Produce fault labels and probability volumes automatically with the option to pick examples using deep learning technology

“We continue to find new insights in the Utica play using the Paradise® machine learning technology. The results corroborate nicely with ground truth. Using machine learning is now a key part of our interpretation workflow.”

Randall Hunt
Staff Geophysicist, Range Resources

Read case studies on the application of machine learning  and deep learning to seismic interpretation.

Click here for Case Studies & Technical Papers