Multi-component seismic data processing method

Abstract

The invention provides a multi-component seismic data processing method and belongs to the field of geophysical prospecting data processing. The method includes: using a first arrival intelligent pickup and chromatographic static correction technique for primary static correction of multi-component seismic data, and obtaining pre-stack seismic data capable of clearly reflecting structural and lithological change characteristics by means of pre-stack denoising, high-fidelity processing and deconvolution; obtaining an accurate velocity field according to the correspondence relation between longitudinal waves and converted waves, and stacking the pre-stack seismic data to obtain stacked profiles of multi-component seismic data; and using the F-X domain wave equation finite difference offset technique to improve transverse resolution, and obtaining offset profiles of the multi-component seismic data. By the aid of the multi-component seismic data processing method, converted wave seismic data can be processed by universal longitudinal wave software, and high-resolution high-fidelity and high-signal-to-noise-ratio seismic profiles capable of clearly reflecting structural and lithological change characteristics are obtained.

Description

technical field [0001] The invention belongs to the field of geophysical exploration data processing, and in particular relates to a processing method for multi-component seismic data. Background technique [0002] With the rapid development of multi-component exploration technology, multi-wave (that is, the data containing P-wave and converted wave, usually Z represents P-wave, X, Y represents converted wave), multi-component seismic exploration technology has been widely used in gas cloud imaging, hydrocarbon detection, fluid Lithology prediction and fracture detection methods have been applied, and have gradually played an irreplaceable role in structural imaging, lithology parameter extraction, and oil and gas reservoir identification. [0003] Due to the asymmetry of the converted wave ray path, the converted wave processing flow is different from that of conventional longitudinal wave data. Although there are many seismic data processing systems, most of them are long...

AI Technical Summary

Problems solved by technology

Although there are many seismic data processing systems, most of them are P-wave processing software

There are very few processing methods and processing modules for converted wave seismic data, almost no complete converted wave processing system, and even if there is one, it is expensive

It is impossible for these modules to process the data of complex geological conditions to obtain ideal multi-wave profiles.

Coupled with the complexity of mountainous seismic data, that is, due to the low signal-to-noise ratio of the original data X component and Y component, serious static correction problems, anisotropy, and poor consistency of single geophone reception, the processing effect is difficult. Satisfies the requirements of interpretation, thus requiring improved processing techniques and processes to continuously improve the quality of the final profile

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