Adaptation of the iterative Marchenko scheme for imperfectly sampled data
| Autor: | Johno van IJsseldijk, Kees Wapenaar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Surface (mathematics)
Scheme (programming language) Ideal (set theory) 010504 meteorology & atmospheric sciences Discretization Computer science FOS: Physical sciences Sampling (statistics) 010502 geochemistry & geophysics 01 natural sciences Geophysics (physics.geo-ph) Physics - Geophysics Interferometry Geophysics Controlled source seismology Geochemistry and Petrology Wave scattering and diffraction Reflection (physics) Imperfect Algorithm computer 0105 earth and related environmental sciences computer.programming_language |
| Zdroj: | Geophysical Journal International, 224(1) Geophysical Journal International |
| ISSN: | 0956-540X |
| Popis: | The Marchenko method retrieves the responses to virtual sources in the Earth's subsurface from reflection data at the surface, accounting for all orders of multiple reflections. The method is based on two integral representations for focusing- and Green's functions. In discretized form, these integrals are represented by finite summations over the acquisition geometry. Consequently, the method requires ideal geometries of regularly sampled and co-located sources and receivers. Recently new representations were derived, which handle imperfectly sampled data. These new representations use point-spread functions (PSFs) that reconstruct results as if they were acquired using a perfect geometry. Here, the iterative Marchenko scheme is adapted, using these new representations, to account for imperfect sampling. This new methodology is tested on a 2D numerical example. The results show clear improvement between the proposed scheme and the standard iterative scheme. By removing the requirement for perfect geometries, the Marchenko method can be more widely applied to field data. Comment: arXiv admin note: text overlap with arXiv:2003.10802 |
| Databáze: | OpenAIRE |
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