1993
DOI: 10.1016/0926-9851(93)90016-r
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The reflectivity method as a tool for evaluating the seismic response of layered structures

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Cited by 5 publications
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“…In southwestern Alberta, we observe a thin, low‐velocity layer at the depth of ∼2.7 km in the formation of the Jurassic/Triassic/Permian (gray shade in Figure 6a) in the average shear‐velocity model. To verify the existence of this layer and quantify potential model biases, we perform several hypothesis tests based on forward waveform simulations using the reflectivity method (Bernasconi & Drufuca, 1990; Pirera & Zanzi, 1993). We also add random noise with the value of ∼40% of the signal, which is much larger than the noise level (<20%) from the actual observation, to further verify the capability of RF inversion to discern LVZ in sediments.…”
Section: Resultsmentioning
confidence: 99%
“…In southwestern Alberta, we observe a thin, low‐velocity layer at the depth of ∼2.7 km in the formation of the Jurassic/Triassic/Permian (gray shade in Figure 6a) in the average shear‐velocity model. To verify the existence of this layer and quantify potential model biases, we perform several hypothesis tests based on forward waveform simulations using the reflectivity method (Bernasconi & Drufuca, 1990; Pirera & Zanzi, 1993). We also add random noise with the value of ∼40% of the signal, which is much larger than the noise level (<20%) from the actual observation, to further verify the capability of RF inversion to discern LVZ in sediments.…”
Section: Resultsmentioning
confidence: 99%