1988
DOI: 10.1111/j.1365-246x.1988.tb01395.x
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A 2-D, ray-based, depth migration method for deep seismic reflections

Abstract: Although accurate depth-migration is essential for the correct geometrical interpretation of deep reflection data, migration by the standard numerical methods has generally not been satisfactory. The alternative method presented in this paper provides an efficient migration for deep reflection profiles in the form of a digitized line-drawing assuming a general, 2-D velocity structure. Migration of a digitized line-drawing reduces the effects of low signal/noise ratios. The calcutation is rapid allowing migrati… Show more

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Cited by 26 publications
(10 citation statements)
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“…Geometrical optics can thus be used to predict the arrival-times, but not the amplitudes, of observed reflections. This justifies the use of a depth migration method based on ray-tracing (Raynaud 1988).…”
Section: Discussionmentioning
confidence: 99%
“…Geometrical optics can thus be used to predict the arrival-times, but not the amplitudes, of observed reflections. This justifies the use of a depth migration method based on ray-tracing (Raynaud 1988).…”
Section: Discussionmentioning
confidence: 99%
“…13) and depth migrated the section using sediment velocities from the wide‐angle model (Bullock 2004) to produce an accurate model of depth to top basement to constrain the magnetic model. Full model depth migrations have been attempted by Raynaud (1988) and Louden & Chian (1999), but prior to this study velocities have not been well constrained west of the continental slope.…”
Section: Additional Datamentioning
confidence: 99%
“…The data were migrated in line drawing form using ray theory (Raynaud, 1988;Holliger and Kissling, 1991;Fig. 8) in order to avoid typical problems associated with the migration of deep crustal data such as low signal/noise ratios, complicated velocity structures, and apparent discontinuities in deep reflectors due to near-surface effects (Warner, 1987).…”
Section: Line Drawing and Migrationmentioning
confidence: 99%