CN-121995450-A - Method, device and equipment for processing seismic data and computer readable storage medium

CN121995450ACN 121995450 ACN121995450 ACN 121995450ACN-121995450-A

Abstract

The application discloses a method, a device and equipment for processing seismic data and a computer readable storage medium, belonging to the technical field of exploration, development and exploitation of oil and gas fields. The method comprises the steps of obtaining seismic data of a target area, determining similarity between gather data of any one gather and multiple data of any one gather for any one gather, determining similarity between any two pieces of multiple data in the multiple data, determining a first filter of the multiple data according to the similarity between the gather data of any one gather and the multiple data and the similarity between any two pieces of multiple data, filtering the multiple data according to the first filter of the multiple data to obtain first data corresponding to the multiple data, and determining the primary data of the target area according to the gather data of any one gather and the first data corresponding to the multiple data. The method improves the accuracy of the determined primary wave data.

Inventors

LI PENG
WANG ZHAOLEI
ZHANG JIANLEI
MA GUANGKAI
ZHOU ZHENXIAO
WANG WEI

Assignees

中国石油天然气集团有限公司
中国石油集团东方地球物理勘探有限责任公司
中油油气勘探软件国家工程研究中心有限公司

Dates

Publication Date: 20260508
Application Date: 20241105

Claims (12)

1. A method of processing seismic data, the method comprising: Acquiring seismic data of a target area, wherein the seismic data comprises gather data of a plurality of gathers; For any one of the plurality of gathers, determining similarity between gather data of the any one gather and each piece of multiple data, wherein the multiple data is predicted based on the gather data, and any piece of multiple data is data subjected to multiple reflection waves; determining the similarity between any two pieces of multiple data in the multiple data; Determining a first filter of each multiple data according to the similarity between the gather data of any one gather and each multiple data and the similarity between any two multiple data; Filtering the multiple data according to the first filters of the multiple data to obtain first data corresponding to the multiple data, wherein the first data corresponding to any one of the multiple data is the data of the multiple data filtered by the first filter corresponding to the any one of the multiple data; And determining primary wave data of the target area according to the gather data of any gather and the first data corresponding to each multiple wave data, wherein the primary wave data of the target area are used for predicting the oil gas position and the oil gas reserve of the target area.
2. The method of claim 1, wherein determining primary wave data of the target region from the gather data of the any one gather and the first data corresponding to the respective multiple wave data comprises: Summing the first data corresponding to each multiple wave data to obtain a first sum value; determining primary wave data of any one track set according to the track set data of the any one track set and the first sum value; And determining the primary wave data of the target area according to the primary wave data of each gather.
3. The method of claim 2, wherein said determining primary wave data for said any one gather from said first sum value and gather data for said any one gather comprises: Performing difference processing on the gather data of any gather and the first sum value to obtain a first difference value; and determining the primary wave data of any one set according to the first difference value.
4. A method according to claim 3, wherein said determining primary wave data for said any set based on said first difference comprises: And determining the first difference value as primary wave data of any one set.
5. A method according to claim 3, wherein said determining primary wave data for said any set based on said first difference comprises: smoothing the first sum value to obtain a smoothed first sum value, wherein the smoothed first sum value eliminates abnormal values of the first sum value; performing smoothing on the first difference value to obtain a smoothed first difference value, wherein the smoothed first difference value eliminates an abnormal value of the first difference value; Determining an occlusion coefficient according to the first sum value after the smoothing processing and the first difference value after the smoothing processing, wherein the occlusion coefficient is used for occluding effective signals in the gather data of any gather; According to the shielding coefficient, shielding the gather data of any gather to obtain the gather data of any gather after shielding; and determining primary wave data of any one set according to the similarity between the gather data of any one set after shielding and the random two multiple wave data.
6. The method of claim 5, wherein determining the occlusion coefficient based on the smoothed first sum and the smoothed first difference comprises: carrying out product solving on the first sum value after the smoothing processing and the first difference value after the smoothing processing to obtain a first product; Smoothing the first product to obtain a smoothed first product, wherein the smoothed first product eliminates an abnormal value of the first product; determining a reference value taking e as a base number and taking the first product after the smoothing treatment as an index; and determining the reciprocal of the reference value as the shielding coefficient.
7. The method of claim 5, wherein determining the primary wave data of the any one gather based on the similarity between the gather data of the any one gather and the any two multiple wave data, comprises: determining the similarity between the gather data blocked by any gather and the multiple data; determining a second filter of each multiple data according to the similarity between the gather data and each multiple data after shielding by any one gather and the similarity between any two multiple data; Filtering the multiple data according to the second filters of the multiple data to obtain second data corresponding to the multiple data, wherein the second data corresponding to any one of the multiple data is the data of the multiple data filtered by the second filter corresponding to the any one of the multiple data; and determining primary wave data of any one set according to the gather data of the any one set and the second data corresponding to each multiple wave data.
8. The method of claim 7, wherein determining primary wave data of the any one gather from the gather data of the any one gather and second data corresponding to the respective multiple data comprises: summing the second data corresponding to each multiple data to obtain a second sum value; And carrying out difference processing on the gather data of any gather and the second sum value to obtain primary wave data of any gather.
9. A seismic data processing apparatus, the apparatus comprising: the acquisition module is used for acquiring the seismic data of the target area, wherein the seismic data comprise gather data of a plurality of gathers; the determining module is used for determining the similarity between the gather data of any gather and each multiple wave data for any gather in the plurality of gathers, wherein the multiple wave data are predicted data based on the gather data, and any multiple wave data are data of multiple reflected waves; the determining module is further used for determining similarity between any two pieces of multiple data in the multiple data; the determining module is further configured to determine a first filter of each multiple data according to the similarity between the gather data of the any one gather and each multiple data and the similarity between any two multiple data; The processing module is used for carrying out filtering processing on each piece of multiple data according to the first filter of each piece of multiple data to obtain first data corresponding to each piece of multiple data, wherein the first data corresponding to any piece of multiple data is the data of any piece of multiple data after being filtered by the first filter corresponding to any piece of multiple data; the determining module is further configured to determine primary wave data of the target area according to the gather data of the any gather and the first data corresponding to the multiple wave data, where the primary wave data of the target area is used for predicting an oil gas position and an oil gas reserve of the target area.
10. A computer device comprising a processor and a memory, the memory having stored therein at least one program code, the at least one program code being loaded and executed by the processor to cause the computer device to implement a method of processing seismic data as claimed in any one of claims 1 to 8.
11. A computer readable storage medium having stored therein at least one program code, the at least one program code being loaded and executed by a processor to cause a computer to implement a method of processing seismic data as claimed in any one of claims 1 to 8.
12. A computer program product, characterized in that it has stored therein at least one computer instruction that is loaded and executed by a processor to cause the computer to implement a method of processing seismic data according to any of claims 1 to 8.

Description

Method, device and equipment for processing seismic data and computer readable storage medium Technical Field The embodiment of the application relates to the technical field of exploration, development and exploitation of oil and gas fields, in particular to a method, a device and equipment for processing seismic data and a computer readable storage medium. Background In oil and gas exploration, seismic exploration is an effective method of exploration. The primary wave data is obtained by collecting, processing and explaining the seismic data, and then the oil gas position and the oil gas reserves are determined according to the primary wave data so as to facilitate the exploitation of oil gas. In the related art, the seismic data includes multiple data and primary data. The primary wave data are data of sequentially primary reflected waves, the multiple wave data are data of repeatedly reflected waves, the primary wave data are used for determining oil gas positions and oil gas reserves, and the multiple wave data are noise data in the seismic data. Therefore, after the seismic data is acquired, predicting a plurality of multiple data according to the seismic data, and sequentially eliminating the plurality of multiple data in the seismic data to obtain primary wave data. However, in the above-mentioned manner of processing seismic data, the plurality of multiple data are sequentially eliminated, and the problem of excessive elimination or insufficient elimination easily occurs, so that the accuracy of the obtained primary wave data is poor, and further, the accuracy of the determined oil gas position and oil gas reserve is poor, so as to affect the exploitation of oil gas. Disclosure of Invention The embodiment of the application provides a method, a device, equipment and a computer readable storage medium for processing seismic data, which can be used for solving the problems in the related art. The technical scheme is as follows: in one aspect, an embodiment of the present application provides a method for processing seismic data, where the method includes: Acquiring seismic data of a target area, wherein the seismic data comprises gather data of a plurality of gathers; For any one of the plurality of gathers, determining similarity between gather data of the any one gather and each piece of multiple data, wherein the multiple data is predicted based on the gather data, and any piece of multiple data is data subjected to multiple reflection waves; determining the similarity between any two pieces of multiple data in the multiple data; Determining a first filter of each multiple data according to the similarity between the gather data of any one gather and each multiple data and the similarity between any two multiple data; Filtering the multiple data according to the first filters of the multiple data to obtain first data corresponding to the multiple data, wherein the first data corresponding to any one of the multiple data is the data of the multiple data filtered by the first filter corresponding to the any one of the multiple data; And determining primary wave data of the target area according to the gather data of any gather and the first data corresponding to each multiple wave data, wherein the primary wave data of the target area are used for predicting the oil gas position and the oil gas reserve of the target area. In one possible implementation manner, the determining the primary wave data of the target area according to the gather data of the any gather and the first data corresponding to the multiple wave data includes: Summing the first data corresponding to each multiple wave data to obtain a first sum value; determining primary wave data of any one track set according to the track set data of the any one track set and the first sum value; And determining the primary wave data of the target area according to the primary wave data of each gather. In one possible implementation manner, the determining the primary wave data of the any track set according to the track set data of the any track set and the first sum value includes: Performing difference processing on the gather data of any gather and the first sum value to obtain a first difference value; and determining the primary wave data of any one set according to the first difference value. In one possible implementation manner, the determining the primary wave data of the arbitrary set according to the first difference value includes: And determining the first difference value as primary wave data of any one set. In one possible implementation manner, the determining the primary wave data of the arbitrary set according to the first difference value includes: smoothing the first sum value to obtain a smoothed first sum value, wherein the smoothed first sum value eliminates abnormal values of the first sum value; performing smoothing on the first difference value to obtain a smoothed first difference value, wherein the smoothed first d