Method for calculating rock space structure distance map based on three-dimensional Euclidean distance

Abstract

The invention provides a method for calculating a rock space structure distance map based on a three-dimensional Euclidean distance, and provides a spatial segmentation and spatial distance vernier combined method, which comprises the following steps of: segmenting an original three-dimensional binary image into a plurality of blocks along x-z and y-z surfaces, respectively sending the blocks intoa plurality of computers, and updating a distance value of each block by traversing the image twice by using a spatial vernier, starting to perform fusion from the block with the smallest xy coordinate, taking the surface as a basic unit, updating the overall distance value of the fusion of the two blocks through the fusion of the surface, and updating the distance value after all the blocks arefused to generate an overall Euclidean distance map. The method has the advantages that the accurate Euclidean distance map can be generated by traversing the whole image twice by taking the distancevernier as a unit, the calculation complexity is greatly simplified, and parallel operation is performed on multiple threads or a computer after the image to be processed is segmented according to a certain rule, so that the problem that a single image is too large and the memory is difficult to undertake is solved, and the calculation speed is increased.

Description

technical field [0001] The invention belongs to the technical field of digital rock cores, and in particular relates to a calculation method of a rock space structure distance map based on three-dimensional Euclidean distance. Background technique [0002] Euclidean distance transformation is the process of calculating the distance from a spatial point to a target point. The Euclidean distance map composed of the Euclidean distances of all points of the research object can vividly represent its own spatial topological relationship. At present, it has important applications in many fields, such as the carrier of reservoir microscopic research-the field of digital core. Traditional distance transformation methods such as Voronoi diagram search and boundary stripping are mostly based on two-dimensional images, and are not efficient and time-consuming. With the continuous development of the field of digital core technology and imaging technology, the research has gradually deep...

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Problems solved by technology

And if the incoming image is too large, it may be impossible to calculate due to insufficient memory, or the overall process is slow due to insufficient computing resources

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