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Separación y supresión del ruido sísmico aleatorio basado en una mejor descomposición del modo variacional a través

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Área de la Ciencia:

  • Geofísica y procesamiento de señales sísmicas
  • Inteligencia computacional en las ciencias de la tierra

Sus antecedentes:

  • El ruido sísmico degrada significativamente la calidad de los datos sísmicos registrados.
  • La separación y supresión efectiva del ruido sísmico es crucial para una interpretación geofísica precisa.
  • Los métodos de desacoplamiento existentes a menudo tienen dificultades para equilibrar la reducción del ruido con la preservación de la señal.

Objetivo del estudio:

  • Desarrollar un nuevo método para la supresión de ruido sísmico aleatorio.
  • Mejorar la calidad de los datos sísmicos mediante la mejora de la relación señal-ruido (SNR).
  • Para separar efectivamente el ruido aleatorio mientras se conservan las señales sísmicas válidas.

Principales métodos:

  • Propuso un método de supresión de ruido sísmico basado en la descomposición de modo variacional mejorada (VMD).
  • Algoritmo integrado de optimización del lobo gris (GWO) para optimizar los parámetros del VMD (K y α).
  • La entropía de la envolvente utilizada para la evaluación de la aptitud de GWO y la comparación de Kurtosis para la selección de IMF.

Principales resultados:

  • El método GWO-VMD logró un aumento del SNR del 27,78% en comparación con otros métodos.
  • Demostró una mejora del 78,82% en el RMSE manteniendo la similitud estructural (SSIM).
  • Se separó con éxito el ruido aleatorio y se preservaron los componentes válidos de la señal sísmica en datos sintéticos y reales.

Conclusiones:

  • El método GWO-VMD propuesto es eficaz para la separación y supresión del ruido sísmico aleatorio.
  • Esta técnica ofrece un rendimiento superior en la mejora de la calidad de los datos sísmicos.
  • El método resulta válido tanto para separar el ruido como para preservar la información crucial de la señal sísmica.