A feature-preserving quantification method for geological volume data visualization

Abstract

The invention discloses a geologic body data visualization oriented feature-preservation quantifying method. The geologic body data visualization oriented feature-preservation quantifying method includes smoothing initial geologic body data by a bilateral filtering process, respectively performing statistics on a histogram of the initial geologic body data and a histogram smoothed geologic body data to obtain a difference histogram of the two histograms, and acquiring high-frequency detail feature intervals by a Gaussian fitting process; defining a local correlation computation process, performing statistics on local correlation histograms of the initial geologic body data and acquiring feature intervals with high local correlation in the geologic body data by the Gaussian fitting process; removing the high-frequency detail feature intervals and local correlated feature intervals in high-dynamic-range intervals of the initial geologic body data to acquire singularity feature intervals in the initial geologic body data. The geologic body data visualization oriented feature-preservation quantifying method has the advantages that a user can interactively define significance proportions of features according to requirements of the user, the initial geologic body data in a 32-bit high-dynamic range can be quantified into 8-bit geologic body data by the aid of a segmented quantification scheme, and accordingly the initial geologic body data can be quantified in a feature-preservation manner.

Description

technical field [0001] The invention relates to a feature-preserving quantification method for geological volume data visualization, which belongs to the technical field of volume data visualization and image processing. Background technique [0002] Two-dimensional geological data visualization technology can only display limited geological slice data, which seriously restricts the understanding of geological phenomena such as three-dimensional structural deformation, sediment deposition and fluid flow in geological volume data. Volume rendering technology is an effective tool for browsing, analyzing and interpreting geological body data. It can not only help geological experts to observe and understand geological structure and stratigraphic characteristics intuitively and truly, but also help oil and gas forecasting experts to analyze the laws of oil and gas accumulation, guide drilling design and Oil and gas development. [0003] However, the actual collected geological ...

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Problems solved by technology

[0002] Two-dimensional geological data visualization technology can only display limited geological slice data, which seriously restricts the understanding of geological phenomena such as three-dimensional structural deformation, sediment deposition and fluid flow in geological volume data

The high dynamic range data visualization mainly has the following two shortcomings: (1) The data scale is large. Compared with the 8-bit volume data, although the accuracy of the 32-bit volume data has been improved, the scale of the volume data has also increased several times, and the visualization efficiency (2) The analysis of high dynamic range volume data is relatively difficult, such as histogram statistics, geological attribute calculation, etc., which is not conducive to further analysis and processing of volume data

[0005] Although the above algorithm has realized the quantification and visualization analysis and processing of high dynamic range data to a certain extent, the effective quantification method for geological volume data is still a research hotspot in the field of geological data visualization and analysis.

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