1887
Volume 69, Issue 6
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Event locations are essential for microseismic monitoring endeavours to map hydraulic fractures. For downhole monitoring, the event back‐azimuthal angle, which is commonly evaluated as the average of the P‐wave polarization angle at each sensor, is necessary to project the 2D location in the vertical plane determined by the traveltime information to the 3D space. The accuracy of the P‐wave polarization angle at each sensor depends on the signal‐to‐noise ratio of the waveforms, as well as relies on the accuracy of the sensor orientation. The conventional approaches of the sensor orientation require an event with known back‐azimuth angle, such as surface orientation shots, perforation shots, ball‐drop events or teleseismic events. In terms of availability, the signals of the perforation shots or ball‐drop events are the most widely used information. But they are usually characterized by a low signal‐to‐noise ratio. We propose a new method to incorporate high‐signal‐to‐noise ratio microseismic events with unknown back‐azimuth angles into the sensor orientation process. It can significantly improve the accuracy of the relative orientation angles among all of the sensors, and also improve the accuracy of the absolute orientation angles by linking the relative orientation angles to the sensors with the high‐signal‐to‐noise ratio waveforms of the perforation shots or ball‐drop events. We use both synthetic and field data to test the feasibility and reliability of the new method. The results reveal that the new method can reduce the uncertainty of the orientation angle and improve the accuracy of the microseismic location, compared with the conventional approach when utilizing a perforation shot or ball‐drop event alone.

Loading

Article metrics loading...

/content/journals/10.1111/1365-2478.13099
2021-06-14
2024-04-25
Loading full text...

Full text loading...

References

  1. Chambers, K. (2014) Computing location uncertainty for imaged sources. 15th EAGE Passive Seismic Workshop, Expanded Abstracts, PSP19.
  2. Cipolla, C.L., Maxwell, S., Mack, M. and Downie, R. (2011) A practical guide to interpreting microseismic measurements. North American Unconventional Resources Conference and Exhibition, The Woodlands, Texas, USA, 14–16.
  3. Cyz, M. and Malinowski, M. (2018) Seismic azimuthal anisotropy study of the Lower Paleozoic shale play in northern Poland. Interpretation, 6, SH1–SH12.
    [Google Scholar]
  4. Di Siena, J.P., Gaiser, J.E. and Corrigan, D. (1984) Horizontal components and shear wave analysis of three component VSP data. In: M.N.Tosoz and M.M.Stewart (Eds.) Vertical Seismic Profiling, Part B: Advanced Concepts. London, UK: Geophysical Press, pp. 175–235.
    [Google Scholar]
  5. Doran, A.K. and Laske, G. (2017) Ocean‐bottom seismometer instrument orientations via automated Rayleigh‐wave arrival‐angle measurements. Bulletin of the Seismological Society of America, 107, 691–708.
    [Google Scholar]
  6. Drew, J., White, R. and Wolfe, J. (2008) Microseismic event azimuth estimation: establishing a relationship between hodogram linearity and uncertainty in event azimuth. 78th SEG Annual International Meeting, Expanded Abstracts, 1446–1450.
  7. Eisner, L., Hulesy, B.J., Duncan, P., Jurick, D., Werner, H. and Keller, W. (2010) Comparison of surface and borehole locations of induced seismicity. Geophysical Prospecting, 58, 809–820.
    [Google Scholar]
  8. Esmersoy, C. (1984) Polarization analysis, rotation and velocity estimation in three‐component VSP. In: M.N.Tosoz and M.M.Stewart (Eds.) Vertical Seismic Profiling, Part B: Advanced Concepts. London, UK: Geophysical Press, pp. 236–255.
    [Google Scholar]
  9. Gagliardi, P. and Lawton, D.C. (2012) Orientation analysis of borehole geophones: calibration consistency. 82nd Annual International Meeting, Expanded Abstracts.
  10. Grechka, V. and Yaskevich, S. (2013) Inversion of microseismic data for triclinic velocity models. Geophysical Prospecting, 61, 1159–1170.
    [Google Scholar]
  11. Grigoli, F., Cesca, S., Dahm, T. and Krieger, L. (2012) A complex linear least‐squares method to derive relative and absolute orientations of seismic sensors. Geophysical Journal International, 188, 1243–1254.
    [Google Scholar]
  12. Haldorsen, J.B.U., Brooks, N.J. and Milenkovic, M. (2013) Locating microseismic sources using migration‐based deconvolution. Geophysics, 78, KS73–KS84.
    [Google Scholar]
  13. Jones, G.A., Kendall, J.M., Bastow, I.D. and Raymer, D.G. (2014) Locating microseismic events using borehole data. Geophysical Prospecting, 62, 34–49.
    [Google Scholar]
  14. Jurkevics, A. (1988) Polarization analysis of three‐component array data. Bulletin of the Seismological Society of America, 78, 1725–1743.
    [Google Scholar]
  15. Knowlton, K.B. and Spencer, T.W. (1996) Polarization measurements uncertainty on three‐component VSP. Geophysics, 61, 594–599.
    [Google Scholar]
  16. Lagos, S. and Velis, D. (2019) A simple energy‐based strategy for sensor orientation in borehole microseismic monitoring. Journal of Geophysics and Engineering, 16, 85–91.
    [Google Scholar]
  17. Li, J., Li, C., Morton, S.A., Dohmen, T., Katahara, K. and Toksöz, M.N. (2014) Microseismic joint location and anisotropic velocity inversion for hydraulic fracturing in a tight Bakken reservoir. Geophysics, 79, C111–C122.
    [Google Scholar]
  18. Maxwell, S.C. (2010) Microseismic: growth born from success. The Leading Edge, 29, 338–343.
    [Google Scholar]
  19. Maxwell, S.C., Rutledge, J., Jones, R. and Fehler, M. (2010) Petroleum reservoir characterization using downhole microseismic monitoring. Geophysics, 75, 75A129–75A137.
    [Google Scholar]
  20. Menanno, G., Vesnaver, A. and Jervis, M. (2013) Borehole receiver orientation using a 3D velocity model. Geophysical Prospecting, 61, 215–230.
    [Google Scholar]
  21. Nakamura, Y., Donoho, P., Roper, P. and McPherson, P. (1987) Large‐offset seismic surveying using ocean‐bottom seismographs and air gun: instrumentation and field technique. Geophysics, 52, 1601–1611.
    [Google Scholar]
  22. Niu, F. and Li, J. (2011) Component azimuths of the CEArray stations estimated from P‐wave particle motion. Earthquake Science, 24, 3–13.
    [Google Scholar]
  23. Ojo, A.O., Zhao, L. and Wang, X. (2019) Estimations of sensor misorientation for broadband seismic stations in and around Africa. Seismological Research Letters, 90, 2188–2204.
    [Google Scholar]
  24. Pearson, C. (1981) The relationship between microseismicity and high pore pressures during hydraulic stimulation experiments in low permeability granitic rocks. Journal of Geophysical Research: Solid Earth, 86, 7855–7864.
    [Google Scholar]
  25. Rutledge, J.T. and Phillips, W.S. (2003) Hydraulic stimulation of natural fractures as revealed by induced microearthquakes, Carthage Cotton Valley gas field, east Texas. Geophysics, 68, 441–452.
    [Google Scholar]
  26. Stachnik, J.C., Sheehan, A.F., Zietlow, D.W., Yang, Z., Collins, J. and Ferris, A. (2012) Determination of New Zealand ocean bottom seismometer orientation via Rayleigh‐wave polarization. Seismological Research Letters, 83, 704–713.
    [Google Scholar]
  27. Sun, Y.C., Zhang, W. and Chen, X.F. (2018) 3D seismic wavefield modeling in generally anisotropic media with a topographic free surface by the curvilinear grid finite‐difference method. Bulletin of the Seismological Society of America, 108, 1287–1301.
    [Google Scholar]
  28. Wang, X., Chen, Q.F., Li, J. and Wei, S.J. (2016) Seismic sensor misorientation measurement using P‐wave particle motion: an application to the NECsaids array. Seismological Research Letters, 87, 901–911.
    [Google Scholar]
  29. Warpinski, N. (2009) Microseismic monitoring: inside and out. Journal of Petroleum Technology, 61, 80–85.
    [Google Scholar]
  30. Zeng, X. and McMechan, G.A. (2006) Two methods for determining geophone orientations from VSP data. Geophysics, 71, V87–V97.
    [Google Scholar]
  31. Zha, Y., Webb, S.C. and Menke, W. (2013) Determining the orientations of ocean bottom seismometers using ambient noise correlation. Geophysical Research Letters, 40, 3585–3590.
    [Google Scholar]
  32. Zhang, W. and Zhang, J. (2013) Microseismic migration by semblance‐weighted stacking and interferometry. 83rd SEG Annual International Meeting, Expanded Abstracts, 2045–2049.
  33. Zimmer, U. (2011) Microseismic design studies. Geophysics, 76, WC17–WC25.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1111/1365-2478.13099
Loading
/content/journals/10.1111/1365-2478.13099
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): Borehole geophysics; Inversion; Multicomponent; Passive method

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