1887

Abstract

Summary

Microseismicity provides valuable information in a host of different reservoir types. Applications include hydrocarbon and geothermal reservoirs, as well as subsurface carbon sequestration. The hypocenters of microseismic activity help identify individual faults, fault systems, and associated structures. In energy extraction this info aids siting production wells, increasing the odds that fluid-conducting faults are tapped.

Full-waveform correlations help further discriminate events in clusters obtained from coherent phases only. The detail in the coda is what distinguishes small differences in location and/or source signatures; detail that cannot be extracted from (travel times of) coherent phases alone.

We illustrate these approaches with data from a permanent vertical borehole array that recorded over 3800∼microseismic events in 2008 and 2009 at the Aneth field, Utah (USA). Differences in the power spectra of individual microseismic events from a cluster are small, but consistent in terms of their spatial distribution. Also, these results were consistent with re-clustering based on correlations of the full waveforms. As a result, we suggest these events should be sub-clustered before further relocation with more advanced techniques, such as double difference tomography.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20141053
2014-06-16
2020-07-06
Loading full text...

Full text loading...

References

  1. Chidsey, T.C., Jr.
    [2009] Surface and subsurface geological characterization of the Aneth Unit, Greater Aneth field, Paradox Basin, Utah - final report. Tech. rep., Utah Geological Survey, Salt Lake City, UT.
    [Google Scholar]
  2. Fagan, D., van Wijk, K. and Rutledge, J.
    [2013] Clustering revisited: A spectral analysis of microseismic events. Geophysics, 78(2), KS41–KS49.
    [Google Scholar]
  3. Hansen, S.E., Schwartz, S.Y., DeShon, H.R. and González, V
    [2006] Earthquake relocation and focal mechanism determination using waveform cross correlation, Nicoya Peninsula, Costa Rica. Bulletin of the Seismological Society of America, 96(3), 1003–1011.
    [Google Scholar]
  4. Harris, D.B.
    [1991] A waveform correlation method for identifying quarry explosions. Bulletin of the Seismological Society of America, 81(6), 2395–2418.
    [Google Scholar]
  5. Maxwell, S.C. and Urbancic, T.I.
    [2001] The role of microseismic monitoring in the instrumented oil field. The Leading Edge, 20(6), 636–639.
    [Google Scholar]
  6. Rowe, C.A., Aster, R.C., Borchers, B. and Young, C.J.
    [2002] An automatic, adaptive algorithm for refining phase picks in large seismic data sets. Bulletin of the Seismological Society of America, 92, 1660–1674.
    [Google Scholar]
  7. Saar, M.O. and Manga, M.
    [2003] Seismicity induced by seasonal groundwater recharge at Mt. Hood, Oregon. Earth and Planetary Science Letters, 214, 605–618.
    [Google Scholar]
  8. Schaff, D.P. and Beroza, G.C.
    [2004] Coseismic and postseismic velocity changes measured by repeating earthquakes. J. Geophys. Res., 109, 14, doi:200410.1029/2004JB003011.
    https://doi.org/200410.1029/2004JB003011 [Google Scholar]
  9. Schaff, D.P. and Richards, P.G.
    [2004] Repeating seismic events in China. Science, 303(5661), 1176–1178, doi:10.1126/science.1093422.
    https://doi.org/10.1126/science.1093422 [Google Scholar]
  10. [2011] On finding and using repeating seismic events in and near China,. Journal of Geophysical Research, 116, doi:201110.1029/2010JB007895.
    https://doi.org/201110.1029/2010JB007895 [Google Scholar]
  11. Shumway, R.H.
    [2003] Time-frequency clustering and discriminant analysis. Statistics & Probability Letters, 63, 307–314.
    [Google Scholar]
  12. Shumway, R.H. and Stoffer, D.S.
    [2006] Time Series Analysis and Its Applications: With R Examples. Springer-VerlagNew York, LLC, 2nd edn.
    [Google Scholar]
  13. Snieder, R. and Vrijlandt, M.
    [2005] Constraining relative source locations with coda wave interferometry: Theory and application to earthquake doublets in the Hayward fault, California. J. Geophys. Res., 110, B04301.
    [Google Scholar]
  14. Soma, N. and Rutledge, J.T.
    [2013] Relocation of microseismicity using reflected waves from single-well, three-component array observations: Application to CO2 injection at the Aneth oil field. International Journal of Greenhouse Gas Control, 19, 74–91.
    [Google Scholar]
  15. Song, F., Kuleli, H.S., Toksöz, M.N., Ay, E. and Zhang, H.
    [2010] An improved method for hydrofracture-induced microseismic event detection and phase picking. Geophysics, 75(6), A74–A52, doi:10.1190/1‑3484716.
    https://doi.org/10.1190/1-3484716 [Google Scholar]
  16. Streit, J.E., Siggins, A.F. and Evans, B.J.
    [2005] Predicting and monitoring geomechanical effects of CO2 injection. In: Benson, S.M. (Ed.)Carbon Dioxide Capture for Storage in Deep Geologic Formations, Volume 2. Elsevier Ltd., 751–770.
    [Google Scholar]
  17. Waldhauser, F. and Ellsworth, W.L.
    [2000] A double-difference earthquake location algorithm: Method and application to the northern hayward fault, california. Bulletin of the Seismological Society of America, 90(6), 1353–1368, doi:10.1785/0120000006.
    https://doi.org/10.1785/0120000006 [Google Scholar]
  18. Zhang, H. and Thurber, C.H.
    [2003] Double-Difference Tomography: The Method and Its Application to the Hayward Fault, California. Bulletin of the Seismological Society of America, 93(5), 1875–1889.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20141053
Loading
/content/papers/10.3997/2214-4609.20141053
Loading

Data & Media loading...

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