1887

Abstract

Summary

We have identified individual waveforms from microseismic events and tracked them from reservoir to surface using a wide aperture borehole seismic array, as well as across surface seismic lines. We noted that deeper arrivals in the long borehole array contained complex triplications that could potentially pose difficulties for event detection and location techniques that rely on identifying the direct arrivals.

By modelling full waveform synthetics we were able to reconstruct the principal features of these complex arrivals for the long borehole array.

We have developed an extension to the CMM approach to extract the appropriate arrival times via STA/LTA processing of the full waveform synthetics. These times are then used to augment the first arrival P and S travel times in the objective function used for CMM processing, allowing the energy in complex arrivals to be identified and beam-formed in the event detection algorithm. Mode converted arrivals may also be used in the subsequent Geiger relocation step to provide greater aperture with which to refine the event location.

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/content/papers/10.3997/2214-4609.20141055
2014-06-16
2024-03-28
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References

  1. Asanuma, H., TamakwaK., NiitsumaH., Soma, N., RutledgeJ. and RoweC.
    , [2011]. Reflection imaging of the Aneth CCS reservoir using microseismic multiplet sources, 2011 SEG Annual Meeting, September 18 – 23, 2011, San Antonio, Texas.
    [Google Scholar]
  2. Bernth, H., and C.Chapman
    , [2011]. A comparison of the dispersion relations for anisotropic elastodynamic finite-difference grids, Geophysics, 76, no. 3, WA43–WA50, http://dx.doi.org/10.1190/L3555530.
    [Google Scholar]
  3. Buckingham, K, A.Baig, T.Urbancic, M.Hoy
    , [2012]. Effectiveness of utilizing downhole horizontal arrays for monitoring microseismicity. SEG Technical Program Expanded Abstracts 2012.
    [Google Scholar]
  4. Drew, J., D.Leslie, P.Armstrong and G.Michaud
    , [2005]. Automated microseismic event detection and location by continuous spatial mapping, SPE 95513, Dallas, Texas, USA.
    [Google Scholar]
  5. Freudenreich, Y., S.J.Oates and W.Berlang
    , [2011]. Microseismic feasibility studies – assessing the probability of success of monitoring projects, Geophysical Prospecting, v60, p1043–1053.
    [Google Scholar]
  6. Khadhraoui, B., D.Leslie, J.Drew, R.Jones
    , [2010]. Real-time detection and localisation of microseismic events, SEG Annual Meeting, Denver, CO, USA.
    [Google Scholar]
  7. Morosini, M., T.Daley, M.Eales, A.S.Boivineau, C.Nicou and A.Jupe
    , [2012]. Continuous deep microseismic monitoring of the Karachaganak Field Kazakhstan: integrating reservoir geoscience, drilling and engineering, Petroleum Geoscience, v18, p279–287.
    [Google Scholar]
  8. Peyret, O., J.Drew, M.Mack, K.Brook, C.Cipolla, and S.C.Maxwell
    [2012]. Subsurface to Surface Microseismic Monitoring for Hydraulic Fracturing. SPE159670.
    [Google Scholar]
  9. Usher, P.J., D.A.Angus and J.P.Verdon
    , [2012]. Influence of a velocity model and source frequency on microseismic waveforms: some implications for microseismic locations, Geophysical Prospecting, doi:10.1111/j.1365‑2478.2012.01120.x.
    https://doi.org/10.1111/j.1365-2478.2012.01120.x [Google Scholar]
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