Ground-roll noise attenuation using a simple and effective approach based on local bandlimited orthogonalization |

The basic principle of the proposed approach is to first apply a simple bandpass filter to the raw common shot gather in order to obtain an initial guess of primary reflections and ground-roll noise. Then we orthogonalize the initial guess for primary reflections and ground-roll noise to obtain a signal compensated primary reflection gather, and a signal-free ground-roll noise section. In order to make the local orthogonalization robust, we need first use a relative high LBF such that all the ground-roll noise is removed initially. This proposed workflow for attenuating ground-roll noise is termed *local bandlimited orthogonalization*. The detailed workflow of the proposed approach is shown in Figure 1. As we can see, the total workflow of the proposed approach is fairly convenient to implement, because there are only two steps involved in the processing. First, we apply a conventional bandpass filter. Second, local signal-and-noise orthogonalization is applied. As we stated in the last section, the local signal-and-noise orthogonalization is no more than solving a regularized division problem (equations 6 and 7). Thus, the proposed approach can be conveniently implemented by the industry. In the next section, we will use a typical dataset for demonstrating the effective performance of the proposed approach.

flowchart
Workflow of the proposed ground-roll noise attenuation approach based on local bandlimited orthogonalization.
Figure 1. |
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Ground-roll noise attenuation using a simple and effective approach based on local bandlimited orthogonalization |

2015-11-24