Multi-scale data combine frequency band expanding method based on seismic sequence theory

Abstract

A Multi-scale data combine frequency band expanding method based on seismic sequence theory comprises the steps of: carrying out time-frequency analysis on ground seismic post-stack data; carrying out seismic record pulsing on the ground seismic post-stack data to obtain a first geologic model; matching the first geologic model with a corresponding cross-well seismic profile in an optimization way so as to obtain match factors of the cross-well seismic profile and the ground seismic post-stack data; under constraint of ground seismic horizon data, carrying out spatial change treatment on the match factors to obtain spatial change match factors; leading the spatial change match factors to act on the first geologic model to obtain a first data volume; carrying out seismic record pulsing treatment on the first data volume to obtain a second geologic model; and taking the second geologic model as a constraint condition to carry out broadband-constrained inversion on the ground seismic post-stack data so as to obtain a second data volume. By the method, joint inversion can be carried out on the cross-well seismic and ground seismic post-stack data, thus obtaining high-resolution data volume.

Description

technical field [0001] The invention relates to the field of comprehensive processing of seismic data, and relates to a processing method for improving the resolution of ground seismic post-stack data through the joint application of cross-well seismic and surface seismic post-stack data. Background technique [0002] Cross-well seismic avoids the absorption of high-frequency components of seismic signals by the low-velocity zone on the surface, so higher-resolution seismic signals can be obtained. The application of cross-well seismic technology in fine exploration and development of oilfields has led Integrated Geophysical Technology Advances. However, the cross-well seismic imaging range is only between two wells. The advantage of 3D surface seismic technology is that it covers a wide area and has good horizontal resolution, but the vertical resolution is far from enough. Therefore, it is necessary to combine surface seismic data and cross-well seismic data to complement...

AI Technical Summary

Problems solved by technology

[0003] At present, some existing methods to improve the resolution of surface seismic post-stack data by using cross-well seismic are all based on the idea of ​​signal matching filtering, and all of them assume reflection coefficients, such as blue filtering and sparse pulse deconvolution. Based on the assumption of reflection coefficient statistics, it is assumed that the reflection coefficient sequence is a random signal of white noise. However, seismic sequence stratigraphy believes that the change in the directionality of the frequency characteristic of reflection waves reflects the periodic changes in sedimentary bedding structure and sedimentary cycles. ; It is considered that the reflection coefficient sequence is not a traditional white noise random function, but a cyclical distribution sequence corresponding to the geological sequence body, so the existing method is completely a mathematical method and processing method in the signal field, and does not reflect the seismic layer Sequential thinking

Images