1887

Abstract

Summary

Time processing is still a fundamental and frequently used tool in seismic exploration. Processing steps like stacking, velocity analysis, time migration and interpolation are used in most workflows. Most traveltime approximations are limited to short offsets, particularly in presence of lateral velocity variations. Therefore, instead of approximating the kinematics of a seismic event globally with a single zero-offset approximation of large aperture, we suggest to use several local operators at finite-offsets to describe the seismic event from a complex subsurface. Since a simultaneous estimation of wavefront attributes at each offset is computationally demanding, we suggest a cascaded approach. First, we determine wavefront attributes for the zero-offset case using coherence analysis. Afterwards, we predict the first set of finite-offset wavefront attributes. Subsequently, we predict finite-offset wavefront attributes from the previous offset location. The application to industrial field data demonstrates the accuracy of our prediction method, achieving similar results to a direct wavefront attribute estimation using coherence analysis. Our approach leads to accurately interpolated and enhanced data supplemented by attributes that describe the local wavefront properties.

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/content/papers/10.3997/2214-4609.201801278
2018-06-11
2020-08-04
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