Abstract
Acoustic well logging technology is used to identify the formation heterogeneity (e.g. fracturing cracks). In this paper, the hydraulic fracturing numerical model is equivalent to a random medium model based on the shear wave velocity statistical results. These statistical results are numerically simulated and are based on the hydraulic fracturing field data and elastic wave propagation along a fluid-filled borehole with different fracturing volumes. The results show that significant coda waves are generated in dipole waveforms and the dipole coda is dominated by S-to-S scattering, which can be effectively utilized to diagnose the heterogeneity in the rock formation. The fracturing-induced heterogeneity change can be detected by S-S scattering imaging. We used the field data examples to demonstrate the effectiveness and practicality of using the borehole acoustic techniques for hydraulic fracturing evaluation. Because the hydraulic fracturing occurs in a large volume around the borehole, the application of the method and analysis can significantly enhance the measurement volume of the cross-dipole logging technology, extending its effectiveness for evaluating hydraulic fracturing results for unconventional (e.g. shale gas) reservoirs.
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