1887

Abstract

Summary

Seismic interferometry reconstructs the impulse response between two receivers. In this study, we use deconvolution interferometry to estimate the reflection response using active and passive borehole data in the Groningen gas reservoir at ∼3 km depth. Assuming the medium is approximately laterally homogeneous, recorded up- and downgoing P- and S-wave are separated using f-k filtering based on wavenumber and velocity. We validate the wavefield separation and deconvolution interferometry process using synthetic data of 1D elastic model built from field P-wave velocity logging. The estimated full-waveform reflection response using from virtual source at the top geophone is consistent with the actual response from synthetic data with a corresponding active source. For the virtual source at the bottom geophone, the reflection response appears to be phase delayed, though its arrivals are consistent with the local subsurface geology. Using the same principle, a first-order estimated transmission response successfully approximates the P-wave velocity in the reservoir. We show that seismic interferometry in a deep borehole setting can retrieve the physical reflection response and velocity structure in the reservoir.

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/content/papers/10.3997/2214-4609.201801657
2018-06-11
2020-07-08
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References

  1. Chen, X.
    [2017] The modelling and interpretation of borehole data of the Groningen gas reservoir by seismic interferometry. Utrecht University, Faculty of Geoscience, Department of Earth Science, Guided Master research.
    [Google Scholar]
  2. NAM
    NAM [2016] Study and data acquisition plan induced seismicity in Groningen – Winningsplan 2016. NAM report, (EP201604200072).
    [Google Scholar]
  3. Vasconcelos, I., Ravasi, M., van der Neut, J., Kritski, A. and Cui, T.
    [2017] Retrieving reservoir-only reflection and transmission responses from target-enclosing extended images. In 79th EAGE Conference and Exhibition 2017.
    [Google Scholar]
  4. Vasconcelos, I. and Snieder, R.
    [2008] Interferometry by deconvolution: Part 1—Theory for acoustic waves and numerical examples. Geophysics, 73(3), pp.S115–S128.
    [Google Scholar]
  5. Zhou, W. and Paulssen, H.
    [2017] P and S velocity structure in the Groningen gas reservoir from noise interferometry. Geophysical Research Letters, 44, pp.11,785–11,791.
    [Google Scholar]
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