Estimativa de pulso para a deconvolução de traços sísmicos

Marina M. Bousfield; Júlio A. Cordioli; Guillaume F. G. Barrault

doi:10.55753/aev.v32e49.92

Authors

Marina M. Bousfield Lab. de Vibrações e Acústica, Universidade Federal de Santa Catarina, Florianópolis, SC
Júlio A. Cordioli Lab. de Vibrações e Acústica, Universidade Federal de Santa Catarina, Florianópolis, SC https://orcid.org/0000-0002-0949-0961
Guillaume F. G. Barrault Lab. de Oceanografia Costeira, Universidade Federal de Santa Catarina, Florianópolis, SC

DOI:

https://doi.org/10.55753/aev.v32e49.92

Keywords:

seismic imaging, adaptive algorithm, pulse recovery

Abstract

The seismic method is among the most used techniques for investigating the geological structure of submerged regions. An important step in seismic data processing is the deconvolution between the seismic trace and the pulse emitted by the source, capable of returning the reflectivity of the studied medium. This operation has known sources of errors such as the lack of prior knowledge of the pulse shape and the choice of the deconvolution algorithm. Considering that when there is knowledge about the pulse sent by the source, simpler and more robust techniques for deconvolution can be applied, this work proposes a method to obtain the shape of the pulse emitted by the source, seeking to improve the deconvolution. The pulse waveform can be represented as a combination of simple functions. To obtain the coefficients of the functions, an adaptive filter fed by a least squares algorithm (LMS) was used. The adaptive coefficients of the filter are updated in a feedback system, creating an estimator that reconstructs the original waveform, without distortion. For the application of deconvolution, simulated and real data were used. The algorithm proved to be robust and stable. The results for the deconvolution with the use of the estimated pulse were superior to the use of the direct wave and the probabilistic technique.

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