Method for extracting cracks in three-dimensional rock image

A three-dimensional image and extraction method technology, applied in the field of rock three-dimensional image crack extraction, image segmentation and recognition, can solve problems such as efficient and accurate identification, and no three-dimensional rock image cracks are proposed.

Active Publication Date: 2017-06-06
SICHUAN UNIV
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Problems solved by technology

[0006] In recent years, researchers have been continuously researching and exploring the problem of fracture identification in

Method used

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  • Method for extracting cracks in three-dimensional rock image
  • Method for extracting cracks in three-dimensional rock image
  • Method for extracting cracks in three-dimensional rock image

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Embodiment Construction

[0129] Hereinafter, the present invention will be further described in detail through specific embodiments in conjunction with the accompanying drawings. It must be pointed out that the embodiments are only used to further describe the present invention, but are not meant to limit the protection scope of the present invention.

[0130] Embodiment: In order to make the identification method of the present invention easier to understand and closer to real application, the following describes the entire operation process from the rock binary sequence image to the completion of the 3D rock pore model fracture identification. The specific operation steps are as follows:

[0131] (1) Prepare a set of binary sequence images of rocks to be identified, the number of images is 256, the format is BMP, and the size is 256×256, which represents as Picture 1-1 Shown; the 3D rock pore model constructed by the rock binary sequence map, such as Figure 1-2 As shown, the gray part in the figur...

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Abstract

The invention discloses a method for extracting cracks in a three-dimensional rock image. The method includes the following steps: performing surface reconstruction, Laplace mesh smoothing and mesh simplification operation in sequence on each connected component of a three-dimensional rock pore model; then based on the triangular mesh unit triangle area and unit normal vector characteristics, utilizing K-mean clustering to calculate a clustering center; classifying a triangular mesh unit again according to the clustering center; executing hole repairing on a three-dimensional surface structure formed by triangular mesh units in each triangular mesh class to obtain a closed surface structure set; judging whether the closed surface structure set is a crack according to parameters such as a shape factor and an area ratio; executing morphological expansion processing on a closed surface structure set surface and internal voxel point set and performing AND operation on the closed surface structure set surface and internal voxel point set and a voxel point set of original three-dimensional rock pore model connected components, and a voxel point set obtained by the And operation is a crack. Compared with a traditional method, the method provided by the invention can correctly identify and accurately extract rock cracks.

Description

technical field [0001] The invention relates to an image segmentation and recognition technology, in particular to a method for extracting cracks from a three-dimensional rock image, and belongs to the technical field of image segmentation and recognition. [0002] technical background [0003] The rock is mechanically damaged under the action of stress, and the fracture structure without obvious displacement is called a crack. Cracks are a special kind of pores. In the field of petroleum geology, fracture identification is an important part of reservoir and storage heterogeneity research, and is of great significance to oil and gas development and oil recovery improvement. [0004] The invention is aimed at the fracture identification of rock CT sequence images. In the present invention, firstly, each image in the rock CT sequence image is binarized, and then a three-dimensional rock pore model is constructed by using the binarized sequence image, and rock cracks are ident...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06T15/00G06K9/62
CPCG06T7/0004G06T15/005G06T2207/20036G06F18/23213
Inventor 滕奇志夏晨木何小海张耀吴晓红卿粼波
Owner SICHUAN UNIV
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