Sparse approximation for seismic resolution increasing
https://doi.org/10.7868/S2587739920040059
Abstract
One of the important modern tasks in seismic is to increase the resolution of the wave field. In general, the resolution of the wave field estimates as 1/4 wavelengths. At this thickness, the separate interpretation of top and bottom become impossible. There are several algorithms designed to solve the problem of limiting the resolution. These algorithms can include the “whitening” of the frequency spectrum, as well as the use of inversion, which, by taking into account the signal shape, can reduce the influence of interference. In this study, we consider the use of sparse approximation to increase the resolution of the wave field. These algorithms are based on using a given dictionary of wavelets to describe the input seismic path. At the same time, the composition of the dictionary has a significant impact on the result. The article describes the process of forming a dictionary and testing it on model data in order to study the effectiveness of this method.
References
1. Granichin O.N. Randomization of measurements and L 1-optimization. Stohasticheskaya optimizaciya v informatike. 2009, no. 5, pp. 3–23. (In Russ.)
2. Yagola A.G. Obratnye zadachi I metody ih resheniya. Prilozheniya k geofizike [Inverse problems and methods for it solving. Applications to Geophysics]. Moscow, BINOM. Laboratoriya znaniy, 2014. 216 p
Review
For citations:
Butorin A.V. Sparse approximation for seismic resolution increasing. PROneft. Professionally about Oil. 2020;(4):40-45. (In Russ.) https://doi.org/10.7868/S2587739920040059
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