Monitoring and forecasting failure in laboratory using coda wave decorrelation

References

1. Barnhoorn, A., Verheij, J., Frehner, M., Zhubayev, A., & Houben, M.
   (2018). Experimental identification of the transition from elasticity to inelasticity from ultrasonic attenuation analyses.Geophysics, 83(4), MR221–MR229. https://doi.org/10.1190/geo2017-0534.1
   [Google Scholar]
2. Deroo, F., Kim, J.-Y., Qu, J., Sabra, K., & Jacobs, L. J.
   (2010). Detection of damage in concrete using diffuse ultrasound.The Journal of the Acoustical Society of America, 127(6), 3315–3318. https://doi.org/10.1121/1.3409480
   [Google Scholar]
3. Grêt, A., Snieder, R., Aster, R. C, & Kyle, P. R.
   (2005). Monitoring rapid temporal change in a volcano with coda wave interferometry.Geophysical Research Letters, 32(6), 1–4. https://doi.org/10.1029/2004GL021143
   [Google Scholar]
4. Grêt, A., Snieder, R., & Özbay, U.
   (2006). Monitoring in situ stress changes in a mining environment with coda wave interferometry.Geophysical Journal International, 167(2), 504–508. https://doi.org/10.1111/j.1365-246X.2006.03097.x
   [Google Scholar]
5. Grêt, A., Snieder, R., & Scales, J.
   (2006). Time-lapse monitoring of rock properties with coda wave interferometry.Journal of Geophysical Research: Solid Earth, 111(3), 1–11. https://doi.org/10.1029/2004JB003354
   [Google Scholar]
6. Hadziioannou, C., Larose, E., Coutant, O., Roux, P., & Campillo, M.
   (2009). Stability of monitoring weak changes in multiply scattering media with ambient noise correlation: Laboratory experiments.The Journal of the Acoustical Society of America, 125(6), 3688–3695. https://doi.org/10.1121/1.3125345
   [Google Scholar]
7. Hall, S. A.
   (2009). Mechanics of Natural Solids. In D.Kolymbas & G.Viggiani (Eds.), Mechanics of Natural Solids (VIII). https://doi.org/10.1007/978-3-642-03578-4
   [Google Scholar]
8. Niederleithinger, E., Wang, X., Herbrand, M., & Müller, M.
   (2018). Processing ultrasonic data by coda wave interferometry to monitor load tests of concrete beams.Sensors (Switzerland), 18(6). https://doi.org/10.3390/s18061971
   [Google Scholar]
9. Niu, F., Silver, P. G., Nadeau, R. M., & McEvilly, T. V.
   (2003). Mgration of seismic scatterers associated with the 1993 Parkfield aseismic transient event.Nature, 426(6966), 544–548. https://doi.org/10.1038/nature02151
   [Google Scholar]
10. NURA.
    (1971). Effects of stress on velocity anisotropy in rocks with cracks.J Geophys Res, 76(8), 2022–2034. https://doi.org/10.1029/jb076i008p02022
    [Google Scholar]
11. Planès, T., Larose, E., Margerin, L., Rossetto, V., & Sens-Schönfelder, C.
    (2014). Decorrelation and phase-shift of coda waves induced by local changes: Multiple scattering approach and numerical validation.Waves in Random and Complex Media, 24(2), 99–125. https://doi.org/10.1080/17455030.2014.880821
    [Google Scholar]
12. Planès, T., Larose, E., Rossetto, V., & Margerin, L.
    (2015). Imaging multiple local changes in heterogeneous media with diffuse waves.The Journal of the Acoustical Society of America, 137(2), 660–667. https://doi.org/10.1121/1.4906824
    [Google Scholar]
13. Poupinet, G., Ellsworth, W. L., & Frechet, J.
    (1984). Monitoring velocity variations in the crust using earthquake doublets: an application to the Calaveras fault, California ( USA).Journal of Geophysical Research, 89(B7), 5719–5731. https://doi.org/10.1029/JB089iB07p05719
    [Google Scholar]
14. Rossetto, V., Margerin, L., Plaǹs, T., & Larose, É.
    (2011). Locating a weak change using diffuse waves: Theoretical approach and inversion procedure.Journal of Applied Physics, 109(3). https://doi.org/10.1063/1.3544503
    [Google Scholar]
15. Schubnel, A., Benson, P. M., Thompson, B. D., Hazzard, J. F., & Paul Young, R.
    (2006). Quantifying Damage , Saturation and Anisotropy in Cracked Rocks by Inverting Elastic Wave Velocities.Pure and Applied Geophysics, 163, 947–973. https://doi.org/10.1007/s00024-006-0061-y
    [Google Scholar]
16. Snieder, R.
    (2002). Coda wave interferometry and the equilibration of energy in elastic media.Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 66(4), 8. https://doi.org/10.1103/PhysRevE.66.046615
    [Google Scholar]
17. Snieder, R.
    (2006). The theory of coda wave interferometry.Pure and Applied Geophysics, 163(2–3), 455–473. https://doi.org/10.1007/s00024-005-0026-6
    [Google Scholar]
18. Snieder, R., Prejean, S. G., & Johnson, J. B.
    (2006). Spatial variation in Mount St. Helens clones from coda wave analysis.Centre for Wave Phenomena Consortium Project 2006, 247–252. Retrieved from http://www.cwp.mines.edu/Meetings/Project06/cwp543.pdf
    [Google Scholar]
19. Snieder, R., & Vrijlandt, M.
    (2005). Constraining the source separation with coda wave interferometry: Theory and application to earthquake doublets in the Hayward fault, California.Journal of Geophysical Research: Solid Earth, 110(4), 1–15. https://doi.org/10.1029/2004JB003317
    [Google Scholar]
20. TNO & Ministerie van Economische Zaken.
    TNO & Ministerie van Economische Zaken. (2020). Groningen gasveld. Retrieved from https://www.nlog.nl/groningen-gasveld
    [Google Scholar]
21. Van Thienen-Visser, K., & Breunese, J. N.
    (2015). Induced seismicity of the Groningen gas field: History and recent developments.Leading Edge, 34(6), 664–671. https://doi.org/10.1190/tle34060664.1
    [Google Scholar]
22. Xie, F., Ren, Y., Zhou, Y., Larose, E., & Baillet, L.
    (2018). Monitoring Local Changes in Granite Rock Under Biaxial Test: A Spatiotemporal Imaging Application With Diffuse Waves.Journal of Geophysical Research: Solid Earth, 123(3), 2214–2227. https://doi.org/10.1002/2017JB014940
    [Google Scholar]
23. Zotz-Wilson, R., Boerrigter, T., & Barnhoorn, A.
    (2019). Coda-wave monitoring of continuously evolving material properties and the precursory detection of yielding.The Journal of the Acoustical Society of America, 145(2), 1060–1068. https://doi.org/10.1121/1.5091012
    [Google Scholar]
24. Zotz-wilson, R., Filippidou, N., Van Der Linden, A., & Verberne, B. A.
    (2020). Coda-Wave Based Monitoring of Pore-Pressure Depletion-driven Compaction of Slochteren Sandstone Samples from the Groningen Gas Field.Journal of Geophysical Research: Solid Earth.
    [Google Scholar]