In this second iteration, we take the PreSTM gathers as an input and run the multiple attenuation. Multiples are much focused after PSTM/PSDM process. g-Platform provides several radon modules and we are going to use Radon multiple attenuation (high resolution Radon).

Keep in mid that you have several radon modules with a bit different functionality and results:

•Radon multiple attenuation: input, output, difference gathers, user-defined time curves on gather;

•Radon - TauP - High resolution: input, output, difference gathers, Tau-P domain, interactive curve on gather;

•Radon - TauP:  input, output, difference gathers, Tau-P domain, interactive curve on gather;

•Radon multiple attenuation by velocity: input, output, difference, NMO-corrected gathers, interactive velocity spectrum for constrain-polygon picking;

•Radon - by picking: input, output, difference gathers, interactive Tau-P domain for constrain-polygon picking.

If you are not happy with one result, try another module or mix them, create a complex workflow.

Create a new workflow 0150_Multiple_attenuation_(iteration_2):

---------------------------------------------------------------Please insert image here----------------------------------------------

Add all necessary modules to the workflow:

1) Read seismic traces. Load data set from the previous step on multiple attenuation 0130_APSTM.

2) Sort traces. sorting by Inline - Crossline as Trace Grouping and Offset as Trace Sorting:

Execute those modules.

3) Seismic loop. Put two modules inside: Radon multiple attenuation and Save seismic by gather.

4) Radon multiple attenuation. 

This module transforms seismic traces into Tau/P (intercept time and slowness dt/dx = p) domain where we can easily separate multiples and primaries. Such separation allows to attenuate energy of multiple waves before reverse transformation into time domain (T-X). Basic idea is separation primaries and multiples by their velocity (moveout). Input traces are decomposed so hyperbolic events map to elliptical curves in Tau-P domain.

Input seismic gather must be sorted by Common Middle Point (CMP) - Offsets and the primaries should be flattened by applying Normal Move Out (stack velocity) correction before Radon transform. In this case the primary energy will be near P=0, which produces difference in moveout makes it possible to flatten the primary reflections while leaving the multiples under-corrected with a moveout approximately parabolic.

                                                                  Slowness = 1 / Velocity

Model of CMP gather: 1) Time domain (T-X): Primaries+Multiples;

                                       2) Tap-P domain: Primaries+Multiples:

                                       3) Time domain (T-X): Primaries.

The module performs a model of primary and multiple events. This computation is based on data decomposition into user-defined parabolas and calculated by high-resolution algorithm, de-aliased least-squares method in the frequency space domain for every frequency of the pass-band which is defined by frequency min (Hz) and frequency max (Hz) parameters. Events corresponding to parabolas with a bigger curvature are considered as multiples. Events corresponding to parabolas smaller than this constrain are primary events. The area limits between primaries and multiples is user defined parametrization.

Parameters:

P min

Minimum p-value for transform data from t-x into tau-p domain.

P mid

Middle p-value for transform data from t-x into tau-p domain.

This parameter is start for modeling multiple waves.

P max

Maximum p-value for transform data from t-x into tau-p domain.

(Choose this parameter with care because run time for this process increases with the square of the  number of P-values).

Delta P

Amount of modeling waves.

Should be approximately equal signal response time interval.

Taper P

Taper zone between P min/mid/max-values.

Taper Tau

Taper zone between start time - filtered - end time.

TimeOffset

Time varying reference offset for multiple modeling.

Time– time.

Reference offset– reference offset.

Frequency min

Minimum frequency for filtering

Frequency max

Maximum frequency for filtering

Pre-Whitening Factor

Pre-whitening factor for stabilizing tau-p to t-x transformation.

Use AGC

Apply automatic gain control pre radon filtering and remove after radon filtering.

AGC Window

Window for automatic gain control.

Execute the module and open all vista windows:

5) Save seismic by gather. Define an output file 0110_Demultiple2 name and execute calculations for the entire data set.

If you have any questions, please send an e-mail to: support@geomage.com