Conglomerate granularity evaluation method based on CT three-dimensional model reconstruction

A three-dimensional model and evaluation method technology, applied in the field of oil and natural gas exploration and development, can solve the problems of large particle size range, damaged rock samples, poor applicability of conglomerate, etc., to achieve the effect of expanded application and reliable analysis

Pending Publication Date: 2021-09-03
SOUTHWEST PETROLEUM UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, there are many methods for particle size analysis, such as screening method, direct measurement method, sedimentation method, and two-dimensional image analysis method, etc., but it is common to n

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  • Conglomerate granularity evaluation method based on CT three-dimensional model reconstruction
  • Conglomerate granularity evaluation method based on CT three-dimensional model reconstruction
  • Conglomerate granularity evaluation method based on CT three-dimensional model reconstruction

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Embodiment 1

[0031] Example 1: See Figure 1 to Figure 13 , a conglomerate particle size evaluation method based on CT three-dimensional model reconstruction of the present embodiment, comprising the following steps: S1: Select a conglomerate sample with a diameter of 10mm-100mm, and perform three-dimensional scanning on the selected conglomerate to obtain conglomerate The two-dimensional grayscale image of the rock sample and the three-dimensional digital core data volume; S2: image processing on the two-dimensional grayscale image, eliminating image noise and enhancing the contrast between the conglomerate and the matrix in the image; S3: performing image processing on the gravel in the image Extraction and segmentation; S4: Calculate the diameter of each gravel and build a three-dimensional model of the gravel; S5: Analyze the particle size of the gravel and interstitials in the conglomerate. It realizes the convenient and reliable analysis of the size and distribution of gravel in sand...

Embodiment 2

[0032] Embodiment 2: Step S1 in this embodiment includes observing the apparent structure of conglomerate samples, and selecting representative conglomerate samples that meet the analysis requirements. According to the size of the surface gravel, and based on the principle that the sample size is larger than the diameter of the largest gravel, select conglomerate samples with a diameter of 10 mm to 100 mm. In step S1 of this embodiment, it also includes three-dimensional scanning of the selected conglomerate sample by using a CT scanning system to obtain a grayscale image of the conglomerate sample and a three-dimensional digital core data volume.

Embodiment 3

[0033] Embodiment 3: In step S2 of this embodiment, in view of various types of noise in the grayscale image of the conglomerate sample in the scanning environment, median filtering is performed on the grayscale image to eliminate various types of noise in the image. In step S2 of this embodiment, the histogram equalization process is performed on the two-dimensional grayscale image, and the grayscale histogram of the original image is changed from a relatively concentrated grayscale range to a uniform distribution in the entire grayscale range, increasing the image density. local contrast. In the obtained two-dimensional grayscale image, the gray scale of the gravel and the matrix is ​​not uniform, which makes the gravel and the matrix appear homogeneous and confused with each other. During the segmentation, the matrix and the gravel are prone to threshold overlap, which makes the gravel and the matrix easy to be misidentified. The image affects the segmentation effect, and t...

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Abstract

The invention discloses a conglomerate granularity evaluation method based on CT three-dimensional model reconstruction, and the method comprises the following steps: S1, selecting a conglomerate sample with the diameter of 10-100 mm, and carrying out the CT three-dimensional scanning of the selected conglomerate, and obtaining a two-dimensional gray image and a three-dimensional digital core data body of the conglomerate sample; S2, performing image processing on the two-dimensional grayscale image, eliminating image noise and enhancing the contrast ratio of conglomerate and a matrix in the image; S3, gravel in the image is extracted and segmented; S4, calculating the diameter of each gravel and constructing a three-dimensional model of the gravel; and S5, carrying out particle size analysis on gravels and interstitial substances in the conglomerate. Under the condition that a rock sample is not damaged, the size and the distribution of the gravel in the glutenite are conveniently and reliably analyzed, the three-dimensional space distribution characteristics of the gravel structure are visualized, a new method is provided for quantitative analysis of the size and the distribution of the gravel diameter, and meanwhile the application of the digital core technology in particle size analysis is expanded.

Description

technical field [0001] The invention relates to the field of oil and natural gas exploration and development, in particular to a conglomerate particle size evaluation method based on CT three-dimensional model reconstruction. Background technique [0002] The particle size of minerals in rocks is an important factor affecting the physical properties of reservoirs such as porosity and permeability. For a long time, the particle size analysis of rocks has been one of the most important basic researches in oil and gas exploration and development. Conglomerate reservoirs have complex structures, large differences in gravel sizes, large distribution ranges, and strong heterogeneity. The size and distribution of gravel not only affect the porosity and permeability of conglomerate, but also an important factor affecting the mechanical properties of conglomerate. Therefore, the scientific and reasonable realization of particle size analysis of gravel and interstitials in conglomera...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06T7/136G06T5/00G06T5/30
CPCG06T17/00G06T7/136G06T5/002G06T5/30G06T2207/10081G06T2207/30132
Inventor 梁利喜缑健儒刘向君熊健张文侯连浪丁乙
Owner SOUTHWEST PETROLEUM UNIV
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