Seismic imaging method

Abstract

The invention provides a seismic imaging method, which belongs to the technical field of geophysical exploration. The seismic imaging method comprises the steps of acquiring time domain seismic post-stack data of a to-be-studied area and depth domain well data of a plurality of test wells in the to-be-studied area; establishing a structural frame model through time domain seismic post-stack data;preprocessing each piece of depth domain well data to convert the depth domain well data into time domain well data; correspondingly interpolating each piece of time domain well data into the construction framework model, and calculating to obtain an initial speed model; and optimizing and updating the initial velocity model, and performing pre-stack depth migration processing on the pre-stack seismic data to obtain a seismic image. By means of the seismic imaging method, the imaging precision can be higher.

Description

technical field [0001] The present disclosure belongs to the technical field of geophysical exploration, and in particular, relates to a method for seismic imaging. Background technique [0002] With the rapid development of computer software and hardware technology, prestack depth migration has been widely used in the field of seismic exploration migration imaging technology. It has unique advantages in seismic data imaging of complex surface and complex structures, and has become a key technology for seismic data imaging processing. However, prestack depth migration is also the most comprehensive and most difficult process in seismic data processing, and it faces many technical challenges in velocity modeling and migration methods. Experience shows that the imaging quality of prestack depth migration is closely related to the accuracy of the velocity model, especially the accuracy of the initial velocity model. That is to say, the accuracy of the initial velocity model w...

AI Technical Summary

Problems solved by technology

[0004] However, due to the complex underground structure, fragmentation of fault blocks, large vertical and horizontal velocity changes, and low signal-to-noise ratio, the initial velocity model obtained in the above initial velocity modeling method is the same as that required in prestack depth migration imaging. There is a large difference in the velocity of the data, which is difficult to accurately reflect the changing law of pre-stack depth migration imaging, which in turn affects the accuracy of seismic imaging.

Images