New on StackExchange: Temporal Resolution of Seismic data

Radius of the Fresnel zone is given by
[math]Rf=(v/2)(t_0/f_\mathrm{dom})^{1/2}[/math]
where v: velocity of layer

[math]t_0[/math]: two way travel time

[math]f_\mathrm{dom}[/math] :dominant frequency in the spectrum

This shows that high frequencies give better resolution than lower frequencies and resolution deteriorates with depth and increasing velocities.

However I found some text in “Seismic Data Analysis- Yilmaz” which is contradictory.
“Just having low or high frequencies does not improve temporal resolution. Both low and high frequencies are needed to increase temporal resolution. This is demonstrated further in Figure 1.1-30.”

Changes in temporal resolution

Could someone explain what the author is trying to say here or am I making a mistake in interpretation somewhere ?

This was a question on StackExchange, see the question here.


In seismic data analysis, we have to distinguish between vertical (temporal) and horizontal resolution.

The (First) Fresnel zone is linked to the vertical resolution and defines the area in which the collected energy will still stack constructively.

The temporal resolution, however, defines what the wave “sees”. The events can still be resolved if their thickness is within a fourth of the wavelength (lambda). However, in some cases it can go down to (lambda / 32). This is a matter of detectability of events.

Seismic Resolution

Don’t forget that we’re dealing with superpositions of different frequencies so basically low frequencies will give use the necessary energy content of general trends while high frequencies enable us to make a distinction between geologic features.

This file from the university of Oslo gives a nice overview.

(The picture is from a blog post I’ve written on knowing your wavelength it’s CC-BY-SA Source1 Source2

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... is a geophysicist by heart. He works at the intersection of machine learning and geoscience. He is the founder of The Way of the Geophysicist and a deep learning enthusiast. Writing mostly about computational geoscience and interesting bits and pieces relevant to post-grad life.

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