How can I get the best results from my Tau-P transformation in GLOBEClaritas?
Tau-P domain processing can be a very powerful option for removing linear noise or attenuating short period reverberant multiples. As such, it is important to optimize the pre-processing and the actual Tau-P transform itself in order to make sure you achieve the best results possible from Tau-P domain processing.
Pre-conditioning Prior to Transformation
It’s always valuable to review your input data to find out if it would benefit from any pre-conditioning prior to transformation into the Tau-P domain. This will encompass basic steps such as trace editing/deswell etc to remove noise bursts or spikes that might cause issues when transformed in and out of Tau-P domain such as transform impulse responses etc. As a safety net, you can apply a wraparound AGC to control amplitudes in and out of the transform.
Consider how well the data has been sampled spatially
Is there any evidence of spatial aliasing in the gathers when viewed in SV or SeisView? If so, consider some level of spatial resampling or interpolation (see find link to article), however at some level applying spatial up sampling is beneficial to the Tau-P transform.
The better the data is sampled in the XT domain the more reliable the Tau-P transform will be.
Below is a single shot gather as acquired prior to spatial resampling and again after spatial resample:-