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Research Articles

Prestack time imaging algorithm with simultaneous velocity estimation in hard rock environmentsFootnote

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Pages 234-241 | Received 07 Dec 2012, Accepted 23 Aug 2013, Published online: 06 Dec 2018
 

Abstract

Reflection seismic imaging faces several difficulties in hard rock environments. One of them is the estimation of the propagation velocity of seismic waves. Therefore, imaging algorithms that do not require prior construction of a velocity model seem promising for such environments. In this paper we illustrate an application of prestack time migration, which does not require an input velocity model, to hard rock conditions, and we demonstrate its effectiveness on synthetic data. This approach is based on an estimation of local event slopes (horizontal slownesses) in common-shot and common-receiver gathers and a subsequent calculation of the migration attributes (migration velocity, vertical traveltime and horizontal coordinates of the migrated reflection point). These attributes allow us to derive all the information needed to construct a time-migrated image. We also use the obtained migration velocities as an input velocity model for Kirchhoff prestack time migration (PSTM) and compare the results of the proposed approach with a conventional Kirchhoff migration using as an input the picked NMO velocity model. This application to a hard rock synthetic model illustrates the potential of the presented migration algorithm for imaging in hard rock seismic exploration. We believe that this approach can be used in hard rock seismic processing workflows as an automatic tool to obtain an input velocity model for the Kirchhoff PSTM.

This paper describes prestack time migration with simultaneous velocity estimation. The approach is based on an estimation of horizontal slownesses and a subsequent calculation of the migration attributes to obtain a migrated image. The potential application of the method to hard rock seismic exploration is demonstrated on synthetic models.

Acknowledgements

The research was carried out at Curtin University at the Department of Exploration Geophysics. The work has been supported by the Deep Exploration Technologies Cooperative Research Centre whose activities are funded by the Australian Government’s Cooperative Research Centre Programme. This is DET CRC Document 2013/144. We would like to thank Dr Andrew Greenwood for the hard rock model. We are also grateful to Dr Aleksei Shevchenko for constructive discussions about the method of controlled directional reception.

Notes

Presented at the 22nd ASEG Geophysical Conference and Exhibition, February 2012.

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