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Characterization of fracture-induced geomechanical alterations Chapter  2 61





























             FIG. 2.12 Arrival time of the maximum amplitude of postfracture waveforms as a function of
             geomechanical alteration index. The alteration index is a surrogate for fracture stiffness. A lower
             alteration index corresponds to high fracture stiffness and vice versa. The time delay increases
             with decreasing fracture stiffness, as predicted by the displacement discontinuity theory.
                The arrival time of the maximum amplitude of waveforms is plotted as a
             function of geomechanical alteration index in Fig. 2.12. The figure
             demonstrates that geomechanical alteration index can be used as a substitute
             for fracture stiffness. Based on the principles of displacement discontinuity
             theory, as the alteration index increases, the time delay of first arrival
             increases. In the absence of a good method to detect first arrival in the
             presence of fracture, we are using maximum amplitude as the substitute for
             the first arrival. A smaller index corresponds to high fracture stiffness, and
             larger alteration index corresponds to lower fracture stiffness, that is, larger
             alteration. As the amplitude of the first arrival decreases with decrease in
             fracture stiffness (and increasing geomechanical alteration index), the
             accuracy of the algorithm to determine the maximum-amplitude arrival
             decreases. Consequently, we observe wider dispersions in arrival times of
             the maximum amplitude of waveforms for higher geomechanical alteration
             index because of the low amplitudes of the waveforms and lower signal to
             noise ratio. Therefore, the box plots corresponding to high geomechanical
             alteration indices (5 and 6) show a much greater interquartile range.

             8  Conclusions

             A data-driven workflow was developed to noninvasively visualize the
             geomechanical alterations in geomaterials due to hydraulic fracturing. We
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