Iterative least-square inversion for amplitude balancing

CONCLUSIONS

Using a more complex amplitude model than that described by Berlioux and Lumley (1994), we have estimated the correction coefficients to balance the trace amplitudes of the Mobil AVO dataset. For this model, we have assumed that the coefficients we are inverting for are independent. We have corrected the original 2-D amplitude map with the source, offset, and receiver coefficients determined by an iterative least-square inversion scheme. This new method gives a more accurate result, taking into account variations of the amplitude caused by the receivers. The stripes in the source, offset, and receiver directions have been successfully removed to reveal the geological grey background of the amplitude plot. We believe the same algorithm can be used for other data sets that present a similar amplitude balancing problem.