Three-dimensional high-precision bin fractionation processing and evaluation technology for seismic data

Abstract

The invention provides a three-dimensional high-precision bin fractionation processing and evaluation technology for seismic data, and the method comprises the following steps: analyzing original data, and carrying out trace header modification, grid definition and linear normal moveout correction on data acquired by an observation system, thus acquiring a prestack multi-domain composite denoisedimage; based on the relationship between bin fractionation and the signal-to-noise ratio as well as the relationship between bin fractionation and the multiplicity during forward modeling, comprehensively compensating for the vibration amplitude, thus acquiring a tomographic inversion refracted wave static correction image; analyzing the quantitative relationship between bin fractionation and thelongitudinal resolution and lateral resolution, carrying out prestack shot-domain optimized deconvolution, and carrying out azimuth restrained bin fractionation and speed optimized analysis, thus acquiring a progressive frequency-divided residual correction image; and carrying out multiple three-dimensional prestack migrations, and establishing a three-dimensional prestack migration speed model, thus acquiring a prestack migration image. Thus, the method provided by the invention provides a reliable guarantee for improving the exploration development precision and upgrading a seismic exploration technology.

Description

Technical field [0001] The invention relates to a seismic data processing method, in particular to a high-precision three-dimensional seismic data processing technology, which is of great significance to high-precision exploration and high-density exploration currently carried out in oil fields. Background technique [0002] High-precision data has the characteristics of small trace spacing, small sampling interval, and small bins. Under the condition of subdivided bins, how to select the appropriate processing method and processing parameters to improve the quality of data processing, especially in combination with large-scale and high-precision actual data on land for targeted processing, commercial software does not have dedicated processing in this regard Modules and technologies, theoretical research and practical applications are rarely reported at home and abroad. Contents of the invention [0003] The purpose of the present invention is to provide a subdivision pr...

AI Technical Summary

Problems solved by technology

Under the condition of subdivided bins, how to select the appropriate processing method and processing parameters to improve the quality of data processing, especially in combination with large-scale and high-precision actual data on land for targeted processing, commercial software does not have dedicated processing in this regard Modules and technologies, theoretical research and practical applications are rarely reported at home and abroad

Images