1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. 76th EAGE Conference and Exhibition 2014
  5. Conference paper

Abstract

Summary

Cross-correlation based techniques are widely used for time-delay estimation in electrical engineering and in the processing of passive and active seismic data. We present an iterative cross-correlation based workflow to refine arrival time picks on microseismic data that were initially picked either manually or using a single-trace based algorithm such as short and long-term average ratio (STA/LTA). We then evaluate the performance of this workflow on both synthetic and real microseismic data using a Monte Carlo approach. A significant improvement in the arrival-time picks is observed for both high and low S/N. Accurate arrival times are picked, even for cases where the initial picks are perturbed by adding significant noise. For the cases considered here, an arrival-time accuracy of ±2–4 samples (±0.5 – 1ms) is achieved for both synthetic and real microseismic data.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20141054
2014-06-16
2024-04-19

  • From This Site

    /content/papers/10.3997/2214-4609.20141054
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Akram, J., Eaton, D.W., and St. Onge, A.
    , 2013. Automatic event-detection and time-picking algorithms for downhole microseismic data processing: 4th EAGE passive seismic workshop, Amsterdam, Netherlands.
     [Google Scholar]
  2. Allen, R.
    , 1978. Automatic earthquake recognition and timing from single traces: Bulletin of the Seismological Society of America, 68, 1521–1532.
     [Google Scholar]
  3. Arrowsmith, S.J., and Eisner, L.
    , 2006. A technique for identifying microseismic multiples and application to the Valhall field, North Sea: Geophysics, 71, 31–40.
     [Google Scholar]
  4. Bagaini, C.
    , 2005. Performance of time-delay estimators: Geophysics, 70, 109–120.
     [Google Scholar]
  5. De Meersman, K., Kendall, M., Van der Baan, M.
    , The 1998 Valhall microseismic data set: An integrated study of relocated sources, seismic multiplets, and S-wave splitting: Geophysics, 74, 183–195.
     [Google Scholar]
  6. Eisner, L., Abbott, D., Barker, W.B., Lakings, J., and Thornton, M.P.
    , 2008. Noise suppression for detection and location of microseismic events using a matched filter: SEG 2008 Las Vegas annual meeting.
     [Google Scholar]
  7. Sabbione, J.I., and Velis, D.
    , 2010. Automatic first-breaks picking: New strategies and algorithms: Geophysics, 75, 67–76.
     [Google Scholar]
  8. Saragiotis, C.D., Hadjileontiadis, L.J. and Panas, S.M.
    , 2002. PAI-S/K: A robust automatic seismic P phase arrival identification scheme: IEEE Trans. Geosci. Remote Sens, 40, 1395–1404.
     [Google Scholar]
  9. Sleeman, R., and van Eck, T.
    , 1999. Robust automatic P-phase picking: an online implementation in the analysis of broadband seismogram recordings: Physics of Earth and Planet Interiors, 113, 265–275.
     [Google Scholar]
  10. Tamim, N.S.M., and Ghani, F.
    , 2009. Hilbert transform of FFT pruned cross correlation function for optimization in time delay estimation: Proceedings of the 2009 IEEE 9th Malaysia International Conference on Communications, Kuala Lumpur Malaysia.
     [Google Scholar]
  11. Withers, M., Aster, R., Young, C., Beiriger, J., Harris, M., Moore, S., and Trujillo, J.
    , 1998. A comparison of select trigger algorithms for automated global seismic phase and event detection: Bulletin of the Seismological Society of America, 88, 95–106.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20141054
Loading
Refinement of Arrival-time Picks Using an Iterative, Cross-correlation Based Workflow
Conference Proceedings 2014, 1 (2014); https://doi.org/10.3997/2214-4609.20141054
/content/papers/10.3997/2214-4609.20141054
/content/papers/10.3997/2214-4609.20141054
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error