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320                                  6. DECONVOLUTION

           of them are not realistic and cannot be tolerated  due to absorption effects. The time-dependent
           due to the nature of the seismic methodology,  change in the source waveform is termed non-
           the deconvolution algorithms still produce satis-  stationarity, and attempts are made at compen-
           factory results since they have a robust theoreti-  sating for it before the deconvolution process, by
           cal and mathematical basis.                  use of a suitable gain recovery application.

                                                        6.2.3 Assumption 3: Noise Component
           6.2.1 Assumption 1: A Simple
           Earth Model                                     Since the noise component in Eq. (6.1) is not
                                                        known, this assumption supposes that the noise
              According to this assumption, the earthis com-
                                                        component in the seismogram is zero, or that it
           posed of horizontal layers and no lateral velocity
                                                        can be reduced to zero during the preprocessing.
           variations exist within these constant velocity
                                                        However, recorded seismic traces always
           layers. This assumption is violated in areas of
                                                        include random and several different types of
           anisotropy and complex geology with strong lat-
                                                        coherent noise amplitudes, and they are added
           eral velocity changes. It is also assumed that the
                                                        to the data both in the time and frequency
           source generates only compressional (P) plane
                                                        domains. The random noise components cannot
           waves of vertical incidence, which anticipates a
                                                        be predicted beforehand and are variable both in
           zero-offset data acquisition geometry in which
                                                        time and space.
           no shear (S) waves are generated at the interface
           by phase conversion. Except for some specific
           marine seismic surveys, such as shallow sparker  6.2.4 Assumption 4: Source Waveform
           seismic acquisition, zero-offset seismic data is not  Deconvolution needs the source waveform to
           collected. However, if the reflector is too deep  be known. Based on this assumption, the w(t)
           with respect to the source-receiver separation,  term in Eq. (6.1) is supposed to be known. How-
           the incidence angle can be regarded as small  ever, for explosive sources the source waveform
           enough. In addition, the plane wave assumption  is normally not known. Although the waveform
           is also invalid since the seismic sources generate  from air gun arrays can be recorded in marine
           spherical waves, not plane waves.
                                                        surveys, this gives the waveform at the onset
                                                        time, known as the near-field signature. But
           6.2.2 Assumption 2: Stationary Wavelet       the signal is exposed to different influences dur-
                                                        ing its propagation and its shape becomes quite
              This assumption suggests that the source  different after ghost interference (Section 2.2.4).
           waveform is stationary and does not change   If the source waveform is known, then the
           while it is propagating through the earth. The  applied deconvolution is termed deterministic
           pressure wave generated by an explosive      deconvolution, and if it is unknown (which is
           source, such as dynamite or an air gun, is known  the common case), then a statistical deconvolu-
           as the source signature, and its amplitude   tion is used.
           decreases and high-frequency components are
           absorbed during its propagation. A certain time  6.2.5 Assumption 5: Wavelet Causality
           after its onset, the source waveform becomes
           quite different from when it was generated. Fur-  A wavelet is a transient waveform of finite
           thermore, the waveform in the shallow parts of  length. Based on the phase specifications or their
           the recorded traces is also quite different from  maximum energy distributions, there may be
           that in the deeper parts of the seismic data,  four types of wavelets: minimum, mixed, zero,
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