Buried hill inner-screen imaging enhancement method and device based on signal-to-noise ratio field dynamic constraint

Abstract

The invention provides a buried hill inner-screen imaging enhancement method and device based on signal-to-noise ratio field dynamic constraint. The method comprises: calculating the signal-to-noise ratio of each sampling point according to the signal energy and noise energy of each sampling point in seismic data; obtaining a denoising enhancement parameter of the sampling point according to the signal-to-noise ratio of the sampling point; carrying out imaging enhancement on the sampling point according to the denoising enhancement parameter of the sampling point. The method acquires a corresponding denoising enhancement parameter according to the signal-to-noise ratio of each sampling point, different denoising intensity parameters are used at different sampling points to achieve self-adaptive denoising for the buried hill inner screen; therefore, the problems that the difference of denoising effects of regions with different signal-to-noise ratios is extremely easy to cause, the difference is mainly reflected in excessive denoising and effective signal loss of a high signal-to-noise ratio region (such as the exterior of a buried hill), and denoising of a low signal-to-noise ratioregion (such as the inner wall of the buried hill) is incomplete, so that noise residues are caused, and finally accurate imaging of the inner wall of the buried hill cannot be realized are solved.

Description

technical field [0001] The invention relates to the technical field of seismic data processing, in particular to a buried-hill insider imaging enhancement method and device based on signal-to-noise ratio field dynamic constraints. Background technique [0002] Buried hills refer to the ancient mountains that existed before the deposition of the current basin. The inner part of the buried hill refers to the internal structural form of the buried hill. These buried hills appear to be raised on the seismic section. The inner part of the buried hill is deeply buried and has complex structural forms. The signal-to-noise ratio of seismic data is low, and it is often not clear on the seismic profile, which is a difficult point in seismic exploration. However, the barriers and faults inside the buried hill are important controlling factors for the distribution of remaining oil. Therefore, in the field of seismic data processing, it is necessary to enhance the imaging of the inside o...

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Problems solved by technology

[0004] In view of this, the present invention provides a buried hill insider imaging enhancement method, device, electronic equipment and computer-readable storage medium based on the dynamic constraints of the signal-to-noise ratio field. According to the signal-to-noise ratio of the sampling point, different Denoising intensity parameters, and then realize adaptive denoising for the inside of the buried hill, so as to solve the difference in the denoising effect of the existing methods that easily cause different signal-to-noise ratio areas, mainly in areas with high signal-to-noise ratio (such as outside the buried hill) Excessive denoising, effective signal loss, and low signal-to-noise ratio areas (such as the inside of the buried hill) are not completely denoised, resulting in residual noise, and ultimately cannot achieve accurate imaging of the inside of the buried hill

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