Improve signal to noise ratio (S N)‎ using filters in field processing of 3D seismic data at Amara oil field, southeastern Iraq

Abstract EN

In this paper, the 3-D seismic survey data was carried out by third Iraqi seismic crew using the vibrators as source in 2013.

In the beginning the noise test was reanalyzed to identify the dominant types of noise in the area, which should be attenuated.

The seismic data was read and reformatted by using Geocluster system.

The 3-D elevation map was performed to verify from coordinates and elevations of receiver and source points.

The geometry was assigned to create the binning.

To improve signal and attenuate noise, there are many filters and process were applied on seismic data by using Geocluster system.

The anti alias filter was applied to avoid the aliasing during resampling from 2 to 4 ms.

The time gain function and amplitude equalization were applied to recover the seismic data to their original shape.

The F-K filter was applied to remove the surface waves, which have low apparent velocities, and high amplitude noise burst removal was used to remove high amplitude.

The data were then subjected to the predictive deconvolution to estimate filter for removal of the multiples.

The velocity analysis was done for eight CDP line in full fold area the distance between them is 900 m.

The trace muting was applied to exclude the high amplitudes.

After sorting and stacking, the random noise attenuation and band-pass filter (10-70 Hz) were applied to pass band of seismic frequencies.

The final stack was performed to get seismic cube.

The in-line, cross-line and time slice sections illustrated good continuous reflectors that give certificate by current survey parameters to complete the remaining part, which represents 87 % of Amara oil field project.