Denoising method based on well logging-seismic combination
A well-seismic combination and algorithm technology, applied in the fields of seismology, seismic signal processing, instruments, etc., can solve the problem that the filter is difficult to distinguish between noise and effective signal components, and there is no regularity, so as to overcome the difficulty of distinguishing noise and effective signal, Improve utilization efficiency and improve the effect of signal-to-noise ratio
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Embodiment 1
[0026] As a preferred embodiment of the present invention, it establishes a mathematical relationship between the synthetic record made from well logging data and the side-hole seismic record, and then applies this relationship to all seismic records to perform denoising. The detailed steps are as follows:
[0027] a. Make logging reflection sequence: input acoustic wave and density logging data, convert into wave impedance, and generate reflection coefficient sequence from wave impedance;
[0028] b. Select the theoretical wavelet: According to the analysis of the seismic data, determine the main frequency and type of the theoretical wavelet;
[0029] c. Making a synthetic record: convolute the reflection coefficient sequence generated in step a with the theoretical wavelet determined in step b to generate a synthetic record, and do time-depth relationship matching with the wellside seismic record;
[0030] d. Establish mathematical relationship: establish the mathematical r...
Embodiment 2
[0034] Embodiment 2: Simulation profile random noise and regular noise removal
[0035] (1) Construct a two-dimensional multi-layer velocity model, and wells distributed in three positions, from left to right are w1, w3, w2, and corresponding logging acoustic data, and give accurate time-depth relationship . Set the Reckel wavelet with 60Hz main frequency, and use the seismic forward modeling method to obtain a noise-free post-stack section ( image 3 -a). Then generate non-white noise random noise profiles ( image 3 -b) and a regular but non-linear noise profile ( image 3 -e), the energy is about 20% of the energy of the seismic section, mixed into the noise-free section to form a noisy simulation section ( image 3 -c, image 3 -f). It can be seen that the effective signal is almost submerged in the noise;
[0036] (2) Select the BP neural network algorithm as the algorithm for establishing the mathematical relationship. The network structure is designed as a feed-...
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