Boletín de Geología

Vol. 44 No. 1 (2022): Boletín de Geología
Artículos científicos

Extended Kalman Filter deconvolution for extracting accurate seismic reflectivity

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  • Wilmer Téllez,
  • Ovidio Almanza,
  • Luis Montes-Vides
Wilmer Téllez
Universidad Nacional de Colombia
Ovidio Almanza
Universidad Nacional de Colombia
Luis Montes-Vides
Universidad Nacional de Colombia
Bio
DOI: https://doi.org/10.18273/revbol.v44n1-2022007

Published 2022-01-25

Keywords

  • Deconvolution,
  • Homomorphic,
  • Stochastic,
  • Kalman,
  • Phase-Inversion

How to Cite

Téllez, W., Almanza, O., & Montes-Vides, L. (2022). Extended Kalman Filter deconvolution for extracting accurate seismic reflectivity. Boletín De Geología, 44(1), 149–159. https://doi.org/10.18273/revbol.v44n1-2022007

Copyright (c) 2022 Boletín de Geología

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

Deconvolution attempts compensating for the distortions affecting a recorded seismogram, increasing its bandwidth and extracting subsurface reflectivity from such seismic trace. The estimated reflectivity needs the highest reliability and resolution because of its subsequent use in the pre-stack seismic processing sequence and seismic inversion. We implemented the predictive deconvolution algorithms, the homomorphic Phase Inversion, and the Extended Kalman Filtering. Their application to synthetic traces extracted reflectivity whose comparison with well-bore allowed comparing the reliability between methods. The algorithms applied to an offshore record provided results whose comparison permitted to analyze the impact of the deconvolution assumptions on each method performance.

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