Method, apparatus, device, medium and product for improving signal-to-noise ratio of reconstructed data

By calculating the signal-to-noise ratio in irregular observation systems and designing a three-dimensional array for regular observation systems, and performing three-dimensional curvelet transform and iterative adjustments, the problem of low computational efficiency of curvelet transform in three-dimensional seismic data is solved, the signal-to-noise ratio is improved, and the exploration requirements are met.

CN117518242BActive Publication Date: 2026-07-17CHINA NAT PETROLEUM CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA NAT PETROLEUM CORP
Filing Date
2022-07-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, curvelet transform has low computational efficiency in the interpolation and reconstruction of 3D seismic data, and cannot fully utilize the continuity constraints and signal-to-noise ratio information of 3D data, making it difficult to improve the signal-to-noise ratio.

Method used

By calculating the signal-to-noise ratio (SNR) of each target layer in the irregular observation system, a three-dimensional array of the regular observation system is designed and assigned values. Three-dimensional curvelet transform calculation is performed, and the SNR of adjacent channels is iteratively adjusted to optimize the SNR of the reconstructed data.

Benefits of technology

It improves the signal-to-noise ratio of reconstructed data, makes full use of the continuity constraints and signal-to-noise ratio information of 3D data, and meets the needs of exploration and production.

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Abstract

The application relates to the technical field of petroleum geophysical exploration processing, and provides a method, device, equipment, medium and product for improving the signal-to-noise ratio of reconstructed data, which is characterized in that the signal-to-noise ratio of each trace of a target layer in an irregular observation system is calculated as the signal-to-noise ratio of the target layer, a three-dimensional array is constructed for data of a regular observation system designed based on the irregular observation system, the three-dimensional array is valued based on the irregular observation system, the three-dimensional array after the valuation is calculated based on three-dimensional curvelet transformation, and re-valuation is performed according to the signal-to-noise ratio of the data of the target layer of adjacent traces; the use proportion of high signal-to-noise ratio data in the reconstruction process is improved; after iterative calculation, the reconstructed data is output; the continuity constraint in each direction and the signal-to-noise ratio information of the target layer in the three-dimensional data can be fully utilized; the use proportion of high signal-to-noise ratio data in the reconstruction process is improved; and the signal-to-noise ratio of the reconstructed data is improved, thereby meeting the demand of exploration production.
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