Page 262 - Acquisition and Processing of Marine Seismic Data
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5.5 BAND-PASS FILTER                            253

               the velocities of direct wave and seabed  components of a specified frequency band by
               reflection are approximately between 1480  applying a suitable filter operator. The fre-
               and 1520 m/s, although higher and lower  quency band that a frequency filter keeps is
               velocity values can be obtained in areas of  termed the pass-band, defined by low (f 1 ) and
               inclined seafloor. Slightly higher velocity  high (f 2 ) frequency cut-off values. Frequency fil-
               values are expected for subsurface reflection  ters are typically classified according to the
               hyperbolas, since the wave velocity      characteristics of their pass-band regions.
               generally increases with depth.             Several different filter designs exist to prop-
            iii. Checking  the  database:  Some  specific  erly modify the amplitude spectrum of the input
               information in the database such as fold  data:
               map, stacking chart, and direction of the
                                                        • Low-pass filters (Fig. 5.13A) remove the
               survey line constructed by plotting x and y
                                                           frequencies higher than a specified cut-off
               coordinate pairs for each CDP or shot gather
                                                           frequency value. Low-frequency cut-off (f 1 )
               can be analyzed (Fig. 5.11) to ensure that
                                                           is zero.
               the database has correct entries after
                                                        • High-pass filters (Fig. 5.13B) remove the
               geometry loading.
                                                           frequency band lower than a specified cut-off
            iv. Analyzing the brute stack: The brute stack of
                                                           frequency value (f 1 ). High-frequency cut-off
               the seismic line can be prepared to check
                                                           (f 2 ) is the Nyquist frequency.
               whether the data after loading the geometry
                                                        • Band-pass filters (Fig. 5.13C) keep the
               seems normal. Fig. 5.12 shows the result of a
                                                           specified frequency band between a low- and
               wrong channel order definition. In this     a high-frequency cut-off value (f 1 and f 2 ,
               example, the processor incorrectly supposes  respectively).
               that the channel numbers decrease along  • Notch filters (Fig. 5.13D) remove only one
               the offset.
                                                           specified frequency value or a very narrow
                                                           frequency band typically used to filter out
                                                           specific monofrequency noise components,
                                                           such as 50- or 60-Hz powerline interference.
                   5.5 BAND-PASS FILTER
                                                           Not all of the amplitudes from different fre-
              Frequency filtering is the process of directly  quency components of a seismic trace may be
           modifying the amplitude spectrum of the seis-  useful, because the seismic record contains both
           mic data. The main motivation for frequency fil-  signal and noise components with different fre-
           tering is that the signal and noise amplitudes  quency bands. In general, raw marine seismic
           appear at different frequency components in  data contains both high-frequency random
           the seismic data. If noise frequencies are close  noise and low-frequency swell noise compo-
           to the signal frequencies, then the reflection sig-  nents embedded in the data (Fig. 5.14). There-
           nals may also be removed along with the noise  fore, it is generally required to remove both
           by frequency filtering.                      high- and low-frequency amplitudes, and such
              As expressed in Section 4.5, seismic traces are  a filtering is generally achieved by applying a
           composed of the summation of several sinusoids  band-pass filter designed to keep the amplitude
           with different phase, amplitude and frequency  components within a frequency band while
           characteristics. We can decompose the traces  removing the amplitudes outside this band of
           into their different sinusoidal components of dif-  the input amplitude spectrum. The pass-band
           ferent frequencies using spectral analysis, and  of a band-pass filter is schematically defined
           then we can remove the undesired amplitude   as a rectangular window in the frequency
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