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TESTING THE OPTIMIZATION-BASED RECURSIVE FILTERING ALGORITHM TO SUPPRESS HARMONICS ON MODEL AND FIELD CORRELOGRAMS

https://doi.org/10.18303/2619-1563-2019-2-54

Abstract

The performance of the algorithm for removing harmonic noise distortions of the vibroseis wavelet on the synthetic and the field data is studied. At the first stage, the noise is predicted. At the second stage, its adaptive subtraction from the original correlograms is performed. The algorithm demonstrates good performance, most clearly its advantages are manifested in slip-sweep data processing.

About the Authors

M. S. Denisov
GEOLAB Ltd
Russian Federation
Ordzhonikidze Str., 12/4, Moscow, 119071


A. A. Egorov
GEOLAB Ltd
Russian Federation
Ordzhonikidze Str., 12/4, Moscow, 119071


M. B. Shneerson
Gubkin National University of Oil and Gas
Russian Federation
Leninsky prosp., 65, Moscow, 119991


References

1. Денисов М.С., Егоров А.А. Построение модели вибросейсмического сигнала, осложненного гармониками // Геофизические технологии. – 2019а. – № 1. – С. 72–83.

2. Денисов М.С., Егоров А.А. Оптимизационная рекурсивная фильтрация как способ подавления гармоник в методе вибросейс // Геофизические технологии. – 2019б. – № 2. – С. 23–53.

3. Жуков А.П., Шнеерсон М.Б. Адаптивные и нелинейные методы вибрационной сейсморазведки. – М.: Недра, 2000. – 100 с.


Review

For citations:


Denisov M.S., Egorov A.A., Shneerson M.B. TESTING THE OPTIMIZATION-BASED RECURSIVE FILTERING ALGORITHM TO SUPPRESS HARMONICS ON MODEL AND FIELD CORRELOGRAMS. Russian Journal of Geophysical Technologies. 2019;(2):54-66. (In Russ.) https://doi.org/10.18303/2619-1563-2019-2-54

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ISSN 2619-1563 (Online)