1887
24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

The methods most frequently used to process borehole acoustic data are based on semblance analysis. Two most commonly utilized semblance implementations are: slowness-time coherence and slowness-frequency coherence. Both of them are relatively robust under noisy well conditions. They deliver slowness value across the receiver array, and, as the quality control measures, coherence peak value and frequency dispersion curve.

Semblance processing might be substituted by instantaneous frequency-slowness method based on complex wave form analysis. Instantaneous frequency -slowness delivers rich set of quality control measures. Among them are the velocities, the goodness and standard deviation across the receiver array, and instantaneous frequency and slowness wave forms computed between adjacent receiver pairs. Furthermore, since computations are performed across adjacent receivers, the vertical resolution is limited to the offset between receivers. Thus the effect of multiple semblance peaks observed while the receiver array is passing through the high acoustic impedance contrast is eliminated. Also, the method is capable to detect underperforming receivers. Finally it can help to control mixed acoustic mode conditions.

Instantaneous frequency-slowness method delivers robust results under good to moderately noisy well data. The set of quality measures it delivers is much broader than the one generated by the semblance method.

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/content/journals/10.1071/ASEG2015ab159
2015-12-01
2026-01-15
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References

  1. A.Cheng, X-M.Tang, 2004, Quantitative Borehole Acoustic Methods, Handbook Of Geophysical Exprolation
  2. S.Gill, M.Kozak, T.Prowten, 1997 US Patent: Signal Processing Method For Improved Acoustic Formation Logging System.
  3. P.Boonen, M.Kozak, D.Seifert, 1999 SPWLA conference, Phase Velocity Processing For Acoustic Logging-While-Drilling Full Waveform Data.
  4. M.Kozak, J.Williams, 2014 SPWLA conference, Azimuthal Shear Wave Anisotropy Analysis, Guided In Time Domain.
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