# Blanqueo espectral variable en tiempo

Series | Geophysical References Series |
---|---|

Title | Digital Imaging and Deconvolution: The ABCs of Seismic Exploration and Processing |

Author | Enders A. Robinson and Sven Treitel |

Chapter | 11 |

DOI | http://dx.doi.org/10.1190/1.9781560801610 |

ISBN | 9781560801481 |

Store | SEG Online Store |

As a waveform travels deeper into the earth, its higher frequencies are attenuated more than its lower frequencies are. The *inverse Q-filtering*, or *Q-compensation*, is one way to correct for such losses (Kjartansson, 1979^{[1]}; Ecevitoglu and Costain, 1988^{[2]}; Dillon, 1991^{[3]}). The term *Q* is the seismic quality factor and is a measure of seismic attenuation (see Chapter 14 for more details).

The correction process can be implemented as follows: Apply a series of narrow band-pass filters to a seismic trace. A low-frequency component of the trace will have a lower decay rate than does an intermediate-frequency component. Likewise, an intermediate-frequency component will have a lower decay rate than does a high-frequency component. A series of gain functions can be designed to describe the decay rates within each frequency band. One way to accomplish that is to compute the envelope of each band-pass-filtered trace. The inverse of each of these “envelope gain functions” is applied to each frequency band, and the results are summed. This sum trace is the output of such a time-variant process — the *time-variant spectral-whitening* (TVSW) process. The number of filter bands, the width of each band, and the overall bandwidth are the TVSW parameters. These parameters must be prescribed for each application.

The TVSW process corrects for attenuation effects and partially deconvolves the seismic wavelet. Spiking deconvolution not only compresses the wavelet but also attenuates reverberations. In contrast, TVSW mainly compresses the wavelet without significantly changing the ringy character of the data. In practice, TVSW might do a better job of flattening, or “whitening,” the amplitude spectrum than is the case for conventional deconvolution. This property can help us deal with broadband data that have a large dynamic range.

Spectral flattening also is achievable with other frequency-domain approaches. For example, spiking deconvolution can be formulated in the frequency domain. In addition, the method of zero-phase frequency-domain deconvolution flattens the amplitude spectrum without touching the phase. Zero-phase frequency-domain deconvolution designed to attain a result equivalent to TVSW requires that the input trace be partitioned into small time gates. When zero-phase frequency-domain deconvolution is performed over multiple time gates along the trace, the result is roughly equivalent to TVSW.

## Referencias

- ↑ Kjartansson, E., 1979, Constant Q, wave propagation and attenuation: Journal of Geophysical Research,
**84**, 4737-4748. - ↑ Ecevitoglu, B. G., and J. K. Costain, 1988, New look at body wave dispersion: 58th Annual International Meeting, SEG, Expanded Abstracts, 1043-1045.
- ↑ Dillon, P. B., 1991, Q and upward extension of VSP data through the energy flux theorem: First Break,
**9**, no. 6, 289-298.

## Sigue leyendo

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Modelo convolucional en el dominio de las frecuencias | Deconvolución basada en modelos |

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Deconvolución | Atributos |

## También en este capítulo

- Filtros error-predicción
- Reverberaciones en agua
- Deconvolución Gap de un ondícula de retardo mixto
- Preblanqueo
- Distancia de predicción
- Deconvolución predictiva de un modelo guiado
- Modelo convolucional en el dominio de las frecuencias
- Deconvolución basada en modelos
- Deconvolución consiste en superficie
- Procesamiento digital itneractivo
- Apéndice K: Ejercicios