Use of Quality and Anomaly indicators in the QC of seismic inversion.

Thierry Coléou and Théophile Gentilhomme. ( 2011 )
in: Proc. 31st Gocad Meeting, Nancy

Abstract

Quantifying the capability to repeat measurements of a signal is essential in geophysics and particularly for 4D seismic studies. This is known as “repeatability analysis”. Traditionally, it relies on statistical measurements like correlation coefficients and NRMS. In this paper, we introduce two new repeatability indicators called “Quality” and “Anomaly” which allow the identification of inconsistencies inside a large amount of data. These indicators can also be used after a seismic inversion to evaluate the match between the synthetic response of the inverted model and the observed seismic amplitudes. For pre-stack and 4D seismic inversion, the amount of data to analyze is significant. These indicators provide data reduction and quantify the ability of a given elastic model to reproduce seismic data. They are therefore useful to find the optimal parameterization of the inversion and to identify areas where further analysis and interpretation is needed.

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BibTeX Reference

@INPROCEEDINGS{ColeouGM2011,
    author = { Coléou, Thierry and Gentilhomme, Théophile },
     title = { Use of Quality and Anomaly indicators in the QC of seismic inversion. },
 booktitle = { Proc. 31st Gocad Meeting, Nancy },
      year = { 2011 },
  abstract = { Quantifying the capability to repeat measurements of a signal is essential in geophysics and particularly for 4D seismic studies. This is known as “repeatability analysis”. Traditionally, it relies on statistical measurements like correlation coefficients and NRMS. In this paper, we introduce two new repeatability indicators called “Quality” and “Anomaly” which allow the identification of inconsistencies inside a large amount of data. These indicators can also be used after a seismic inversion to evaluate the match between the synthetic response of the inverted model and the observed seismic amplitudes. For pre-stack and 4D seismic inversion, the amount of data to analyze is significant.
These indicators provide data reduction and quantify the ability of a given elastic model to reproduce seismic data. They are therefore useful to find the optimal parameterization of the inversion and to identify areas where further analysis and interpretation is needed. }
}