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Removing the Ghost effect in Tau-P Domain
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Marine seismic data comprises of many noise components. Out of the many, ghosts are one of them. Ghosts are nothing but an unwanted seismic reflections which are recorded at both source and receiver side. When the seismic energy source (Airgun for marine data and dynamite or vibroseis for land data) is active, the energy penetrates through the layers of the earth. The waves are transmitted, reflected and refracted. These reflected sub surface waves are recorded at the surface (land & marine) by Geophones and hydrophones respectively. Some of these reflected waves are bounced at the surface (land & water). In case of the marine it is quite evident. These reflected waves have an extra travel time (traveling of the up going wave towards the water surface and return back and recorded at the receivers so as at the source end.) since the source and receivers are towed below the sea surface. These waves take extra time to travel at both source and receiver side. This will create side lobes on the wavelet. Each representing the source side ghost and receiver side ghost.
Due to the extra travel time, Ghost is also known as delayed primary. In marine acquisition, sea surface acts as a boundary. Due to impedance contrast (air and water boundary which gives rise to -1), the delayed primary or secondary reflections or ghosts have reverse polarity. Also, they posses lower amplitudes.
Ghost is an issue in marine data processing and it is important to remove or attenuate the ghost effect. It is important to note that the presence of Ghost makes the seismic data interpretation difficult. In the absence of ghost, the data looks more cleaner with less noise. Deghosting enhances the resolution of the data by reducing the ghost noise which gives rise to better resolution of the subtle geological features.
If we need to explain the ghost in simple way we can say Recorded Data = Primary + Source Ghost + Receiver Ghost

In order to get the ghost free data (Primary), we have to remove both source side ghost and receiver side ghost.

Figure 1. Schematic Diagram of Ghost free data

Figure 2. Schematic Diagram of Source Ghost

Figure 3. Schematic Diagram of Receiver Ghost

Figure 4. Schematic Diagram of Source and Receiver Ghost
Deghosting enhances the signal to noise ratio. And also boost the low frequency In the case of shallow data, the data looks higher frequency due to the removal of the side lobes. For deeper events, data looks like low frequency. There are two factors which influences this. One is due to the attenuation of energy and second one is of elimination of side lobes. Due to this data looks higher frequency in the deeper part of the section. Once we apply the Deghost filter then the data looks low frequency.
There are various methods to minimize the ghost. During the acquisition, we can lower the streamer to a bit deeper level to minimize the receiver ghost effect. Also we can use variable depth streamers to minimize receiver ghost effect. This works due to the notch diversity created by variation in the receiver depths.
In the case of data processing/imaging, we have different methods to attenuate ghosts. In g-Platform, we perform the Deghosting in Tau-P and F-K domain.
In Tau-P Deghost, we transform the t-x data into Tau P domain where as in the FK Deghost, we transform the t-x data into Frequency Wavenumber domain.
When preparing the input data for Deghosting, make sure that both source and receiver water depths are present in the trace headers. If not, then the user has to manually provide these values at the parametrization.
User recommendations:
To run the receiver deghosting, sort the data into FFID/Source_SP as Primary Key and Channel as Secondary key. The output will be Receiver ghost free data.
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This is an example workflow just to show how to build the workflow.
1. Read the internal dataset using "Read seismic traces".
2. Headers manipulation - If the input doesn't have source and receiver water depths then we can use this module to assign the values.
3. QC trace geometry - This is optional. We've used this module to QC the source and receiver water depths.
4. Sort traces - Sorted the data in FFID-Receiver_ID as Grouping and OFFSET as Sorting.
5. Inside the Seismic loop, we've added few processing modules. As we mentioned earlier, if the input data is denoise gathers then these modules aren't necessary.
We've taken the geometry assigned gathers and added spherical divergence correction, resample, band pass, LNA, mute by velocity (to mute anything above the first arrivals) modules to the workflow to do a basic processing before doing the Tau-P Deghost. If the input data is denoise gathers then the user can directly use the Tau-P Deghost module.

In this example, we are showing a shot gather before and after deghosting

Stack response before and after Tau-P Deghost


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YouTube video lesson, click here to open [VIDEO IN PROCESS...]
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Yilmaz. O., 1987, Seismic data processing: Society of Exploration Geophysicist
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