Rendering Method of Layered Feature Augmented Volume of Seismic Data

Abstract

The invention discloses a layered feature enhancement volume rendering method of seismic data, which is characterized in that it comprises the following steps: S1, judging whether the sampling point is an extreme value point; S2, if the sampling point is not an extreme value point, abandoning the sampling point and continuing Judge the next sampling point; if the sampling point is an extreme point, further judge whether the extreme point is a noise point, if not, keep the extreme point and draw and display the extreme point; if the sampling point is a noise point, the noise point is eliminated. The present invention utilizes the seed points of the same layer to have good correlation in the horizontal direction, and performs noise point filtering operation based on multi-channel data, which can eliminate seismic data noise and achieve the purpose of seismic volume data noise filtering effect and layered feature enhancement .

Description

technical field [0001] The invention belongs to the technical field of seismic data surveying and mapping, in particular to a layered feature enhanced volume rendering method for seismic data. Background technique [0002] An efficient way to explore volume data is direct volume rendering. Through volume rendering technology, we can understand and analyze the internal structure of the object more clearly, rather than being limited to the surface of the object. In daily life, this technology is also used in many fields to solve practical problems. For example, in the medical field, through visualization technology, doctors can achieve the purpose of disease diagnosis by observing the inside of organs; in the meteorological field, forecasters use visualization technology to analyze Changes in the internal structure of typhoons can be used to judge its future trend; in the field of geological exploration, the internal geological structure can be analyzed through visualization ...

AI Technical Summary

Problems solved by technology

[0005] However, seismic data has the following disadvantages: first and foremost, it is noisy and the signal-to-noise ratio is low; secondly, it is complex and the material types are interlaced and mixed together

[0008] For the layered distribution of geological targets, visual analysis is carried out. Geological horizon interfaces usually have four situations: peak, trough, 0+, 0-. The current research results only clarify the feature enhancement of the peak or trough, and did not propose and 0-waveform enhancement methods, and the existing cost function is based on the increase of single-channel waveform features, and there is no observed waveform level correlation feature

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