Least-squares kirchhoff migration
NettetLeast squares Kirchhoff depth migration: important details Daniel Trad CREWES-University of Calgary Summary Least squares migration has been an important research topic in the academia for about two decades, but only recently it has attracted interest from the industry. The main reason is that from a practical point NettetSummary Over recent years Full Waveform Inversion (FWI) and Least Squares (LS) imaging have improved significantly. Both algorithms have reached such level of …
Least-squares kirchhoff migration
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NettetContact us. Least-squares migration (LSM) is a sophisticated form of depth migration where the image reflectivity is updated to have uniform amplitude representation … Nettetdifficult. The transpose of which is migration may be used as an approximation to the : , (3) where is the migrated image and is the migration operator. Kirchhoff migration produces some artifacts in the migrated image. These migration artifacts can be attenuated by the Least-Squares Migration (Nemeth et. al., 1999).
NettetCGG: Earth & Data Science Solutions Nettet(1999) implement least-squares Kirchhoff migration for migrating incomplete reflection seismic data. Least-squares Fourier finite-difference one-way wave-equation migration was formulated by Rickett (2003) and then used by Tang (2009) for blended seismic data migration. Least-squares reverse time migration (LSRTM) was investigated for
NettetABSTRACT Least-squares migration is an advanced imaging technique capable of producing images with improved spatial resolution, balanced illumination, and reduced …
Nettet25. sep. 2024 · The anisotropic properties of subsurface media cause waveform distortions in seismic wave propagation, resulting in a negative influence on seismic imaging. In addition, wavefields simulated by the conventional coupled pseudo-acoustic equation are not only affected by SV-wave artifacts but are also limited by anisotropic parameters. …
NettetABSTRACT Least-squares migration (LSM) can be effective to mitigate the limitation of finite-seismic acquisition, balance the subsurface illumination, and improve the spatial … hbr management trainingNettetSummary A three dimensional least-squares Kirchhoff migration (LSM) is developed in the prestack plane-wave domain to increase the quality of migration images and the … esteróis vegetais faz bemNettet摘要： To do least-squares Kirchhoff migration, we either have to work in the time domain, as is done by Ji elsewhere in this report, or use time-invariant transforms, … hbr lumberNettet28. apr. 2024 · The lunar penetrating radar (LPR) carried on the Chang E-3 Yutu Rover observations at 500 MHz successfully reveals the thickness and geological structure of … hbr managing uncertaintyNettetresults using a Least Squares implementation of Kirchhoff Pre-Stack Depth Migration. Introduction. It is well known that poor sampling and truncation in seismic acquisitions … ester mertováNettet1. feb. 1999 · Abstract. A least-squares migration algorithm is presented that reduces the migration artifacts (i.e., recording footprint noise) arising from incomplete data. Instead of migrating data with the adjoint of the forward modeling operator, the normal equations are inverted by using a preconditioned linear conjugate gradient scheme that employs ... ester lahoz fotoNettet25. aug. 2024 · Least-squares reverse-time migration (LSRTM) can overcome the problems of low resolution and unbalanced amplitude energy of deep formation imaging in reverse-time migration (RTM); hence, it can obtain a more accurate imaging profile. In the conventional conjugate gradient LSRTM, the gradient is obtained based on cross … hbr kenya