Imaging Near-surface Heterogeneities by Natural Migration of Back-scattered Surface Waves

AlTheyab, Abdullah; Workman, E. J.; Lin, F. C.; Schuster, Gerard T.

doi:10.3997/2214-4609.201413572

Cited by 4 publications

(2 citation statements)

References 20 publications

(28 reference statements)

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“…Recently, AlTheyab et al (2015AlTheyab et al ( , 2016 introduced the natural migration (NM) method to image the near-surface heterogeneities, assuming that the scattering bodies are within a depth of approximately one-third wavelength from the free surface. It also requires a dense distribution of sources and receivers to avoid aliasing artifacts in the migration image.…”

Section: Introductionmentioning

confidence: 99%

Imaging near-surface heterogeneities by natural migration of backscattered surface waves: Field data test

et al. 2017

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We have developed a methodology for detecting the presence of near-surface heterogeneities by naturally migrating backscattered surface waves in controlled-source data. The near-surface heterogeneities must be located within a depth of approximately one-third the dominant wavelength [Formula: see text] of the strong surface-wave arrivals. This natural migration method does not require knowledge of the near-surface phase-velocity distribution because it uses the recorded data to approximate the Green’s functions for migration. Prior to migration, the backscattered data are separated from the original records, and the band-passed filtered data are migrated to give an estimate of the migration image at a depth of approximately one-third [Formula: see text]. Each band-passed data set gives a migration image at a different depth. Results with synthetic data and field data recorded over known faults validate the effectiveness of this method. Migrating the surface waves in recorded 2D and 3D data sets accurately reveals the locations of known faults. The limitation of this method is that it requires a dense array of receivers with a geophone interval less than approximately one-half [Formula: see text].

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Section: Introductionmentioning

confidence: 99%

Imaging near-surface heterogeneities by natural migration of backscattered surface waves: Field data test

et al. 2017

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“…Recently, AlTheyab et al (2015AlTheyab et al ( , 2016 introduced the natural migration (NM) method to image the near-surface heterogeneities, assuming that the scattering bodies are within a depth of about 1/2 wavelength. This also assumes that sources and receivers are densely distributed to avoid aliasing artifacts in the migration image.…”

Section: Introductionmentioning

confidence: 99%

Imaging near-surface heterogeneities by natural migration of surface waves

Liu

AlTheyab

Hanafy

et al. 2016

SEG Technical Program Expanded Abstracts 2016

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SUMMARYWe demonstrate that near-surface heterogeneities can be imaged by natural migration of backscattered surface waves in common shot gathers. No velocity model is required because the data are migrated onto surface points with the virtual Green's functions computed from the shot gathers. Migrating shot gathers recorded by 2D and 3D land surveys validates the effectiveness of detecting near-surface heterogeneities by natural migration. The implication is that more accurate hazard maps can be created by migrating surface waves in land surveys.

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SEG Technical Program Expanded Abstracts 2016

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Imaging Near-surface Heterogeneities by Natural Migration of Back-scattered Surface Waves

Cited by 4 publications

References 20 publications

Imaging near-surface heterogeneities by natural migration of backscattered surface waves: Field data test

Imaging near-surface heterogeneities by natural migration of backscattered surface waves: Field data test

Imaging near-surface heterogeneities by natural migration of surface waves

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