CN-116953786-B - Multiple prediction method, device, computing equipment and storage medium

CN116953786BCN 116953786 BCN116953786 BCN 116953786BCN-116953786-B

Abstract

The invention discloses a multiple prediction method, a multiple prediction device, computing equipment and a storage medium. The method comprises the steps of obtaining frequency domain data of any shot point in any seismic channel, generating a seismic data matrix according to the frequency domain data, wherein the seismic data matrix is an upper triangular matrix with a main diagonal of 0, any non-first column of the seismic data matrix comprises frequency domain data of at least one seismic channel of the same shot point, constructing a multiple matrix, wherein the multiple matrix is an upper triangular matrix with the main diagonal of 0, any non-first column of the multiple matrix comprises multiple models of at least one seismic channel of the same shot point, establishing a functional relation between the multiple matrix and the seismic data matrix, and obtaining model frequency domain data corresponding to any multiple model in the multiple matrix according to the functional relation. By adopting the scheme, the prediction efficiency of the multiple wave can be improved on the premise of ensuring the prediction precision of the multiple wave.

Inventors

XU QIANG
LI CHUNLEI
JIAO XUMING
WANG WEI
WANG HAIKUN
SUN LEIMING
MA DEZHI
ZHANG MINGQIANG
Chen bang
ZHOU MI

Assignees

中海油田服务股份有限公司

Dates

Publication Date: 20260508
Application Date: 20230726

Claims (9)

1. A multiple prediction method, comprising: acquiring frequency domain data of any shot point in any seismic channel; generating a seismic data matrix according to the frequency domain data, wherein the seismic data matrix is an upper triangular matrix with a main diagonal of 0, and any non-first column of the seismic data matrix contains the frequency domain data of at least one seismic channel of the same shot point; constructing a multiple matrix, wherein the multiple matrix is an upper triangular matrix with a main diagonal of 0, and any non-first column of the multiple matrix comprises multiple models of at least one seismic channel of the same shot point; establishing a functional relation between the multiple matrix and the seismic data matrix; and obtaining model frequency domain data corresponding to any multiple model in the multiple matrix according to the functional relation.
2. The method according to claim 1, wherein the seismic data matrix is in particular: Wherein, the For the elements of the ith row and jth column of the seismic data matrix, Frequency domain data of j-i seismic traces for j-n shot points, The frequency domain data of the 1 st shot in j-i seismic channels is obtained, and n is the total number of the seismic channels.
3. The method according to claim 2, characterized in that the multiple matrix is in particular: Wherein, the Is the element of the ith row and jth column in the multiple matrix, For the multiple model of the j-n shot at the j-i seismic trace, The method is a multiple wave model of the 1 st shot in j-i seismic traces, and n is the total number of the seismic traces.
4. The method of claim 3, wherein said establishing a functional relationship of said multiple matrix with said seismic data matrix further comprises: The following functional relationship is established: wherein P is a multiple matrix, and T is a seismic data matrix.
5. The method of any one of claims 1-4, wherein the acquiring frequency domain data for any shot at any seismic trace further comprises: Acquiring time domain data of any shot point in any seismic channel; and carrying out Fourier transform processing on the time domain data to obtain the frequency domain data.
6. The method according to claim 5, further comprising, after the obtaining model frequency domain data corresponding to any one of the multiple models in the multiple matrix according to the functional relation: And carrying out Fourier inverse transformation on model frequency domain data corresponding to any multiple wave model to obtain model time domain data.
7. A multiple prediction apparatus, comprising: the acquisition module is used for acquiring frequency domain data of any shot point in any seismic channel; The processing module is used for generating a seismic data matrix according to the frequency domain data, wherein the seismic data matrix is an upper triangular matrix with a main diagonal of 0, any non-initial column of the seismic data matrix contains frequency domain data of at least one seismic channel of the same shot point, and constructing a multiple matrix, wherein the multiple matrix is an upper triangular matrix with the main diagonal of 0, and any non-initial column of the multiple matrix contains a multiple model of at least one seismic channel of the same shot point; And the execution module is used for obtaining model frequency domain data corresponding to any multiple model in the multiple matrix according to the functional relation.
8. A computing device comprising a processor, a memory, a communication interface, and a communication bus, the processor, the memory, and the communication interface completing communication with each other over the communication bus; The memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to the multiple prediction method according to any one of claims 1-6.
9. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the multiple prediction method of any one of claims 1-6.

Description

Multiple prediction method, device, computing equipment and storage medium Technical Field The invention relates to the technical field of exploration, in particular to a multiple prediction method, a device, computing equipment and a storage medium. Background The processing of the seismic data is an important link in oil and gas exploration, and the processing result of the seismic data can directly influence the oil and gas exploration result. The multiple wave data is interference wave data common in seismic data, and has certain influence on migration velocity analysis, complex geological structure imaging, wave group characteristic fine characterization, small fault imaging and the like, so that multiple wave prediction is a key link in seismic data processing. However, the inventor finds that the prior art has the defects that the implementation process of the conventional multiple prediction method is complex and the prediction efficiency is low. Disclosure of Invention The present invention has been made in view of the above problems, and provides a multiple prediction method, apparatus, computing device, and storage medium that overcome or at least partially solve the above problems. According to an aspect of the present invention, there is provided a multiple prediction method including: acquiring frequency domain data of any shot point in any seismic channel; generating a seismic data matrix according to the frequency domain data, wherein the seismic data matrix is an upper triangular matrix with a main diagonal of 0, and any non-first column of the seismic data matrix contains the frequency domain data of at least one seismic channel of the same shot point; constructing a multiple matrix, wherein the multiple matrix is an upper triangular matrix with a main diagonal of 0, and any non-first column of the multiple matrix comprises multiple models of at least one seismic channel of the same shot point; establishing a functional relation between the multiple matrix and the seismic data matrix; and obtaining model frequency domain data corresponding to any multiple model in the multiple matrix according to the functional relation. In an alternative embodiment, the seismic data matrix is specifically: wherein T (i,j) is the element of the ith row and the jth column in the seismic data matrix, D (j-n,j-i) is the frequency domain data of the jth-n shots in the j-i seismic traces, D (1,j-i) is the frequency domain data of the 1 st shot in the j-i seismic traces, and n is the total number of the seismic traces. In an alternative embodiment, the multiple matrix is specifically: Wherein P (i,j) is the element of the ith row and the jth column in the multiple matrix, M (j-n,j-i) is the multiple model of the jth-n shot at the jth-i seismic trace, M (1,j-i) is the multiple model of the 1 st shot at the jth-i seismic trace, and n is the total number of seismic traces. In an alternative embodiment, said establishing a functional relationship between said multiple matrix and said seismic data matrix further comprises: The following functional relationship is established: P=T×T wherein P is a multiple matrix, and T is a seismic data matrix. In an alternative embodiment, the acquiring the frequency domain data of any shot at any seismic trace further includes: Acquiring time domain data of any shot point in any seismic channel; and carrying out Fourier transform processing on the time domain data to obtain the frequency domain data. In an alternative embodiment, after the acquiring the time domain data of any shot point in any seismic trace, the method further includes, for any time domain data, acquiring time domain data of a plurality of adjacent sampling points of the time domain data in a longitudinal direction, calculating a corresponding L2 norm according to the time domain data and the time domain data of the plurality of adjacent sampling points, and taking the product of the L2 norm and the time domain data as corrected time domain data; The obtaining the frequency domain data after performing fourier transform processing on the time domain data further comprises obtaining the frequency domain data after performing fourier transform processing on the corrected time domain data. In an optional implementation manner, after the model frequency domain data corresponding to any multiple model in the multiple matrix is obtained according to the functional relation, the method further includes: And carrying out Fourier inverse transformation on model frequency domain data corresponding to any multiple wave model to obtain model time domain data. According to another aspect of an embodiment of the present invention, there is provided a multiple prediction apparatus including: the acquisition module is used for acquiring frequency domain data of any shot point in any seismic channel; The processing module is used for generating a seismic data matrix according to the frequency domain data, wherein the seismic data