EAGE Student E-Lecture: Frequency Decomposition of Seismic Data by Gaynor Paton

[@heshamrefayee3554]

I was interviewed once by Dr. Paton, she is one of the most intelligent women I have ever met. Very well informative lecture, well done!

[@GeophysicsInsight]

Very well explained the frequency Decomposition & RGB Blending for seismic interpretation. Thank you.

[@sumitverma4301]

Thanks a lot EAGE and Dr. Paton for uploading this lecture.

[@amaliadw99]

Finally I know now ... what is a spectral decomposition. Very nice and clear lecture.

[@africaplus351]

Short, interesting and irreproachable Robust e-lecture! 👊

[@bitnahan3881]

Thanks for your presentation. It is very helpful to understand the differences of the methods, so I can use those properly.

[@paolodellaversana1420]

Nice talk, Gaynor!

[@zqwang297]

good !

[@aayubful]

Excellent lecture

[@rohitarora1981]

Thanks for the fantastic lecture...very informative....just that at 19.03 you compare two different methods using two different color scales....

[@iliaegorov3508]

very informative!

[@aswinidas51]

Can we have more details on usage of frequency decomposition with specific reference working out pay thickness?

[@nio837]

Good lecture

[@marioxxx2009]

whats is the basis for defining 3 best frequencies in this lecture 30, 40 and 50 ??? why not 25 35, 45?

[@batayangosh]

Sigit wibowo I think you first randomly select three frequencies low, medium and high.....and run tral and error method using various combinations, finally select the best combination appropriate for your study area.

[@mariavalentinacontreras7012]

You have to run an amplitude spectrum on your target zone, from this spectrum you will be able to identify the frequency peaks that will define the best combination of frequencies for your RGB.

[@eurecAswifties]

@@mariavalentinacontreras7012 May I ask how do we define which peaks to pick? Are they the highest peaks or?

[@gamingwithanin3120]

What is software that used?

[@aleksandardzunic8174]

~ 09:00 - Disagree: "Higher amplitudes at lower frequencies (brown-ish/red-ish)" is the consequence of the interaction of the broad band wavelet with a succession of thin layers of increasing acoustic impedance. In case of succession of layers with interchanging acoustic impedance, amplitudes will be canceled at lower frequencies (below the critical frequency or when lambda is greater than thickness of the layer). Interpretation, based on dominant frequency of the wavelet is erroneous and misleading (such in this case: "thick layer=red / thin layer=blue").