3D Marchenko applications: implementation and examples
| Autor: | Giovanni Angelo Meles, Diego Barrera, Joeri Brackenhoff, Jan Thorbecke, Victor Koehne, Kees Wapenaar |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Surface (mathematics)
Signal processing Floating point 010504 meteorology & atmospheric sciences Computer science FOS: Physical sciences 010502 geochemistry & geophysics 01 natural sciences Seismics Physics - Geophysics Geochemistry and Petrology 86-04 Numerical study Point (geometry) Limit (mathematics) Multiple 0105 earth and related environmental sciences Volume (computing) Computational Physics (physics.comp-ph) Geophysics (physics.geo-ph) Geophysics Reflection (physics) Physics - Computational Physics Algorithm |
| Zdroj: | Geophysical Prospecting, 70(1) Geophysical Prospecting Geophysical Prospecting, 70 (1) |
| ISSN: | 0016-8025 1365-2478 |
| Popis: | We implement the 3D Marchenko equations to retrieve responses to virtual sources inside the subsurface. For this, we require reflection data at the surface of the Earth that contain no free-surface multiples and are densely sampled in space. The required 3D reflection data volume is very large and solving the Marchenko equations requires a significant amount of computational cost. To limit the cost, we apply floating point compression to the reflection data to reduce their volume and the loading time from disk. We apply the Marchenko implementation to numerical reflection data to retrieve accurate Green's functions inside the medium and use these reflection data to apply imaging. This requires the simulation of many virtual source points, which we circumvent using virtual plane-wave sources instead of virtual point sources. Through this method, we retrieve the angle-dependent response of a source from a depth level rather than of a point. We use these responses to obtain angle-dependent structural images of the subsurface, free of contamination from wrongly imaged internal multiples. These images have less lateral resolution than those obtained using virtual point sources, but are more efficiently retrieved. Geophysical Prospecting, 70 (1) ISSN:0016-8025 ISSN:1365-2478 |
| Databáze: | OpenAIRE |
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