In the present study, we developed a new method to calculate two of the most important
seismic attributes that can able to give a huge impact in the interpretation field
leading to a better geological and geophysical interpretation of the data. The first
attribute was the Reflection Intensity with great improvement in detection of thin
layers that show low reflection coefficient and enhance the ability to follow unconformity,
the other one is the Instantaneous Phase to discover the discontinuity of events.
The new method depends on combining the most frequent values (MFV) with inversion
to calculate the Hilbert transform and applying hybrid Seismic Denoising, using also
dual inversion and calculated Steiner weight from the iterative reweighted least square
method (IRLS). Scaled Hermite function in a series expansion was used to discretize
the spectrum of the time trace. The procedure followed with adjusting the process
using multi-windows technical on the generated synthetic seismic traces loaded with
Gaussian and Cauchy noise at the same time. The result of the method was shown significant
effects on outliers or normal Gaussian noise when applied to two seismic attributes
better than the old way using the Discrete Fourier Transform (DFT) method.
