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3D Reconstruction Method of Self-Adaptive Partition of Core Image

A 3D reconstruction and self-adaptive technology, applied in image data processing, 3D modeling, instruments, etc., can solve the problem of less research and achieve the effect of reducing the amount of reconstruction data

Active Publication Date: 2022-05-03
SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the larger the image size, the higher the requirements for reconstruction time and computer memory. Directly performing 3D reconstruction of such images is still a major difficulty in 3D reconstruction research, and there are few related studies.

Method used

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  • 3D Reconstruction Method of Self-Adaptive Partition of Core Image
  • 3D Reconstruction Method of Self-Adaptive Partition of Core Image
  • 3D Reconstruction Method of Self-Adaptive Partition of Core Image

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Experimental program
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Embodiment Construction

[0037] The present invention will be further described below in conjunction with accompanying drawing:

[0038] (1) figure 1 It is the original core image, the size of which is 5984×5878, and the resolution is 2.277μm / pixel. Firstly, the pores are extracted to obtain the binary core pore graphic layer, such as figure 2 shown.

[0039] (2) Calculate the porosity of the area to be divided and the corresponding optimal template size, and use the optimal template to traverse the image to obtain the local porosity corresponding to each pixel of the image. The porosity of the whole image is calculated as 1.705% by the first calculation, and the optimal local porosity template size is 321.

[0040] (3) Divide the pixels whose local porosity value is smaller than the regional porosity in the area to be divided into one area, and the remaining pixels into another area.

[0041] (4) Determine whether the divided area still needs to be divided. Due to the large size of the image, it...

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Abstract

The invention discloses a three-dimensional reconstruction method for self-adaptive partitioning of a rock core image, which uses the size and distribution characteristics of pores in the rock core image to divide the image into regions. After partitioning, the interior of each region has homogeneity, and local pore information can be used to represent the pore characteristics of a larger region, thereby greatly reducing the amount of calculation and reconstruction time for reconstruction. By performing partition reconstruction on rock core images in the present invention, the problem that the reconstruction size is limited by computer memory and reconstruction time can be solved, and the three-dimensional structure information of larger-sized rock samples can be obtained.

Description

technical field [0001] The invention relates to a partition reconstruction method, in particular to a core image self-adaptive partition three-dimensional reconstruction method, which belongs to the technical field of three-dimensional image reconstruction. Background technique [0002] Core porous media is one of the most important storage spaces for oil and gas energy in nature, and the morphology (geometry and connectivity) of the pore space strongly affects the storage and migration of oil and gas in the reservoir. Therefore, the research on the microstructure of core pores has gradually become the focus of attention. [0003] At present, there are two main methods to obtain the pore structure of cores: one is to directly construct real 3D digital cores through equipment such as computerized tomography (CT) and focused ion beam scanning electron microscopy (FIB-SEM); mathematical modeling. The first method is not yet widely used due to the relatively expensive scanning...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/05
CPCG06T17/05
Inventor 滕奇志许诗涵何小海卿粼波吴小强熊淑华吴晓红
Owner SICHUAN UNIV