Ground roll: Rejection using polarization filters

Abstract

Ground roll noise on land data sets overwhelms the desired reflection seismic signal unless special steps are taken in data acquisition and processing to control it. This is usually done in the field by the design of group arrays for data acquisition. On the other hand, if multicomponent data are acquired, it is possible to remove ground roll during processing using polarization analysis. Even though this processing is computation-intensive, the potential exists for obtaining results similar to conventional data acquisition, but with deployment of fewer sensors in the field with minimal group array effects. It also has potential for deriving new information.We describe a two-dimensional polarization-filter analysis for use with vertical and in-line sensors. A time-domain spectral matrix technique is developed since the recorded seismic signal is the superposition of multiple signals in the time domain, each with different frequency content and time-varying polarization. This technique is implemented by decomposing the signal into individual frequency components using narrow band-pass filters and defining the polarization characteristic using sliding time windows. We show that both incoherent noise and specific linearly polarized constituents can be successfully filtered.

Estimating shallow shear velocities with marine multicomponent seismic data

“…Akal and Berkson 1986, Rauch 1986, Stoll 1989, and Hovem et al 1991 present reviews or collections of articles on aspects of the subject. The greatest advances appear to have been in the use of interface waves to estimate shallow s h e a r v elocities, which is perhaps ironic given the pains taken to lter out these waves in land surveys e.g., Saat cilar and Canitez, 1988;Hermann and Russell, 1990;Shieh and Herrmann, 1990;Blonk, 1995;Ernst and Herman, 1998. In a marine setting, the waves trapped near the solid-uid interface are sometimes called Scholte waves Scholte, 1958, in contrast with Stoneley waves near a solid-solid interface or Rayleigh waves near the air-solid interface. All of these waves, however, are dispersive with phase and group velocities that are sensitive primarily to shear velocities at depths that are inversely related to frequency.…”

Data adaptive ground-roll attenuation via sparsity promotion

“…Because of its dispersive nature and low velocity, ground-roll masks the shallow reflections at near offsets and deep reflections at far offsets (Henley, 2003;McMechan and Sun, 1991;Canitez, 1988, 1994) and also distorts reflection events by interfering with them. Some researchers have shown that ground-roll can be attenuated during data acquisition by proper acquisition design and filtering (Holzman, 1963;McKay, 1954;Shieh and Herrmann, 1990). Unfortunately, suppressing the noise with such a strategy may lead to an unacceptable deterioration of reflection events (Coruh and Costain, 1983) and may also have geographical or logistical limitations.…”

Curvelet‐based ground roll removal

“…Numerous authors have been shown that the effect of ground roll can be reduced by proper acquisition design and filtering (Brown and Clapp, 2000;Shieh and Herrmann, 1990). Unfortunately, these methods may either fail to remove all the ground roll or may lead to unacceptable deterioration of the primary reflections.…”