Using Seismic Attributes to Improve Geological & Geophysical Interpretation

Posted by Samhita Shah on Apr 18, 2016 12:20:52 PM RSS Share Post

The next topic in the Paradigm Education Series for the Americas is "Using Seismic Attributes to Improve Geological & Geophysical Interpretation." This session is jointly presented by Dr. Bruno de Ribet, Technology Global Directior for Applied Geosciences and Gustavo Morales, Senior Geophysicist. 

For your convenience, this presentation will be offered three times. 

  • Webinar - Tuesday, April 26, 9:00 AM to 10:00 AM CT
  • Paradigm Morning - Wednesday, April 27, 9:00 AM to 10:00 AM CT (networking breakfast begins at 8:30 AM)
  • Lunch & Learn - Thursday, April 28, 12:00 to 1:00 PM CT (networking lunch begins at 11:30 AM)


Recent advances in seismic acquisition, processing and visualization enable us to extract more value from seismic data than ever before. To meet the challenges of seismic data interpretation, Paradigm has created a comprehensive library of physical and geometric seismic attributes, as well as the possibility to create user-defined seismic attributes for a specific interpretation purpose. Physical attributes may be used as direct hydrocarbon or lithologic indicators, while geometric attributes facilitate the definition of both the structural and stratigraphic framework of the seismic interpretation. Fast on-the-fly computation, multi-volume visualization, image processing through advanced merge and voxel opacity, principal component analysis and classification are some of the technics allowing an efficient usage of seismic attributes.

In this workflow based demonstration, our Subject Matter Experts will show how geoscientists can use Paradigm’s seismic data attribute library to provide details of the structural, stratigraphic, and fluid framework not readily visible in normal seismic amplitude images to derive new insights about the subsurface.

For any questions or additional information, please contact Alexandra Jordan at

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Tags: hydrocarbon, Seismic Attributes, Oil and Gas Software, Geological and Geophysical Interpretation