A method and system for suppressing source coding crosstalk noise in full waveform inversion
A technology of full waveform inversion and encoding strings, which is applied in the field of geological exploration, can solve problems such as large amount of calculation and difficulty in program development, achieve the effect of small amount of data calculation, promote accurate and fast convergence, and reduce negative impact
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Embodiment 1
[0052] figure 1 It is a flow chart of the steps of the method for suppressing the source code crosstalk noise in the full waveform inversion of this embodiment.
[0053] First, in step S101, low-pass filtering is performed on the velocity model updated during the inversion iteration process, so as to eliminate the interference caused by high-frequency noise to the search for the main signal direction of the geological structure. Specifically, mean low-pass filtering, median low-pass filtering, or Gaussian low-pass filtering can be used to filter the velocity model updated during the iterative process to eliminate high-frequency interference caused by noise, thereby reducing the need to find the main signal direction. time error.
[0054] In this embodiment, a Gaussian low-pass filtering method is preferably used.
[0055] The sample points in the updated velocity model during the inversion iteration can be expressed as I(x,y). The velocity model is divided into multiple fil...
Embodiment 2
[0078] This embodiment provides a system for suppressing crosstalk noise of source codes in full waveform inversion. Such as Figure 5 As shown, the system includes a preprocessing module 51 , a principal component analysis module 52 and a directional filtering module 53 .
[0079] The preprocessing module 51 is used for low-pass filtering the velocity model updated during the inversion iteration process. Specifically, mean low-pass filtering, median low-pass filtering or Gaussian low-pass filtering can be used to filter the velocity model updated during the inversion iteration process to eliminate high-frequency interference caused by noise.
[0080] Preferably, the Gaussian low-pass filter in the Gaussian low-pass filtering method is:
[0081]
[0082] Among them, H i,j is the discrete Gaussian convolution kernel function, σ 2 is the variance, k is the dimension of the Gaussian convolution kernel matrix, i is the longitudinal coordinate of the velocity model filtering...
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