Residual stereotomographic inversion

Neckludov, Dmitry; Baina, R.; Landa, Evgeny

doi:10.1190/1.2216191

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…This choice has demonstrated its efficiency but picking in some other, more appropriate, domain may offer serious advantages. For example, Lavaud, Baina and Landa (2004) and Neckludov, Baina and Landa (2005) demonstrated the benefit of stereotomographic picking from common‐reflection stack images and common‐reflection stack attributes (Jäger et al 2001) with a better signal‐to‐noise ratio and easier interpretation. The prestack depth migrated domain also has many advantages as a more controlled coverage of the velocity model, allowing better constraint of the optimization.…”

Section: Introductionmentioning

confidence: 99%

Stereotomography assisted by migration of attributes

Nguyen

Baina

Alerini

et al. 2008

Geophysical Prospecting

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A B S T R A C TDepth velocity model building remains a difficult step within the seismic depth imaging sequence. Stereotomography provides an efficient solution to this problem but was limited until now to a picking of seismic data in the prestack time un-migrated domain. We propose here a method for stereotomographic data picking in the depth migrated domain. Picking in the depth migrated domain exhibits the advantage of a better signal-to-noise ratio and of a more regular distribution of picked events in the model, leading to a better constrained tomographic inverse problem. Moreover, any improvement on the velocity model will improve the migrated results, again leading to improved picking. Our strategy for obtaining a stereotomographic dataset from a prestack depth migration is based on migration of attributes (and not on a kinematic demigration approach!). For any locally coherent event in the migrated image, migration of attributes allows one to compute ray parameter attributes corresponding to the specular reflection angle and dip. For application to stereotomography, the necessary attributes are the source/receiver locations, the traveltime and the data slopes. For the data slope, when the migration velocity model is erroneous, some additional corrections have to be applied to the result of migration of the attributes. Applying these corrections, our picking method is theoretically valid whatever the quality of the migration velocity model. We first present the theoretical aspects of the method and then validate it on 2D synthetic and real seismic reflection data sets.

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Section: Introductionmentioning

confidence: 99%

Stereotomography assisted by migration of attributes

Nguyen

Baina

Alerini

et al. 2008

Geophysical Prospecting

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Stereotomography

Lambaré

2008

GEOPHYSICS

106

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Stereotomography was proposed [Formula: see text] ago for estimating velocity macromodels from seismic reflection data. Initially, the goal was to retain the advantages of standard traveltime tomography while providing an alternative to difficult interpretive traveltime picking. Stereotomography relies on the concept of locally coherent events characterized by their local slopes in the prestack data cube. Currently, stereotomography has been developed in two and three dimensions, and precious experience has been gained. The expected advantages have been demonstrated fully (in particular, the efficiency and reliability of the semiautomatic stereotomographic picking strategies), and further studies have increased the method’s potential and flexibility. For example, stereotomographic picking can now be done in either the prestack or poststack domain, in either the time (migrated or unmigrated) or depth domain. It appears that the theoretical frame of stereotomography can reconcile, very satisfactorily and efficiently, most methods proposed for velocity-macromodel estimation for depth imaging. Moreover, an extension of the method to full-waveform inversion already exists and opens the way for very interesting developments.

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Stereotomography of seismic data acquired on undulant topography

Jin

Zhang

2018

GEOPHYSICS

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Stereotomography is a robust method for building velocity models from seismic reflection data, and it has been applied to offshore seismic data, but there is almost no stereotomographic study with rugged topographic conditions. We study the topographic effects on the slopes of locally coherent events of seismic data and develop an approach to calculate the slopes on an undulant observation surface using the horizontal and vertical components of slowness vectors estimated. Then, we develop an extended stereotomography with undulant observation surface based on the conventional one. Tests on synthetic data validate the extended stereotomography. Application to the ﬁeld seismic data in a foothill belt in Xinjiang of the West China indicates that the extended stereotomography is an effective tool to build velocity models for prestack depth migration of seismic data acquired on rugged topography.

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Residual stereotomographic inversion

Cited by 3 publications

References 13 publications

Stereotomography assisted by migration of attributes

Stereotomography assisted by migration of attributes

Stereotomography

Stereotomography of seismic data acquired on undulant topography

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