Conglomerate pore structure characterization method based on CT three-dimensional data volume

A pore structure, three-dimensional data technology, applied in permeability/surface area analysis, suspension and porous material analysis, measurement devices, etc. And other issues

Pending Publication Date: 2021-11-26
SOUTHWEST PETROLEUM UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are many methods for evaluating the microstructure of conglomerate. For example, when measuring the pores of strongly heterogeneous conglomerate by mercury porosimetry, it is difficult for mercury to enter the pore-permeability conditions due to the mixed particle size, small porosity and poor permeability of conglomerate. In the conglomerate with low and poor physical properties and strong heterogeneity, the measurement effect of mercury porosimetry is not good, and the shape and spatial distribution characteristics of the pore space cannot be intuitively described.
The casting thin section method may be affected by gravel and matrix when analyzing the pore structure. Excessively large gravel particles and less matrix may affect the test and analysis results, and the research results mainly analyze the pore structure information from a two-dimensional perspective. Descriptive analysis of the three-dimensional pore structure of rocks
The method of conventional threshold segmentation to extract and characterize the pore structure is suitable for homogeneous sandstone, etc. Due to the strong heterogeneity of conglomerate, the grayscale image of CT scanning is uneven, so the threshold segmentation method is not suitable for the extraction of pores with weak structure. less effective

Method used

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  • Conglomerate pore structure characterization method based on CT three-dimensional data volume
  • Conglomerate pore structure characterization method based on CT three-dimensional data volume
  • Conglomerate pore structure characterization method based on CT three-dimensional data volume

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Embodiment 1

[0053] Example 1: See Figure 1 to Figure 17 , a conglomerate pore structure characterization method based on CT three-dimensional data volume in this embodiment, comprising the following steps: S1: Select a conglomerate sample with a diameter of 8 mm-100 mm, and perform three-dimensional scanning on the selected conglomerate to obtain The two-dimensional grayscale image of the conglomerate sample and the three-dimensional digital core data volume; S2: image processing on the two-dimensional grayscale image, eliminating image noise and enhancing the details of pores in the image; S3: using the interactive threshold segmentation method to image the The first extraction of the pore structure between sand and gravel particles; S4: Using the method of top-bottom hat transformation to stretch the foreground and background grayscale of the grayscale image, highlighting the details of weak structural pores in the conglomerate grayscale image Information, the secondary extraction of p...

Embodiment 2

[0055] Embodiment 2: In this embodiment, in step S1, the apparent structure of the conglomerate samples is observed, and representative conglomerate samples that meet the analysis requirements are selected. Based on the principle that the sample size is larger than the diameter of the largest gravel, conglomerate samples with a diameter of 8mm-100mm can be selected. In step S1 of this embodiment, it also includes three-dimensional scanning of the selected conglomerate samples using a CT scanning system. data body. In step S2 of this embodiment, in view of the various types of noise existing in the grayscale image of the conglomerate sample in its scanning environment, the grayscale image is processed by median filtering to eliminate the noise existing in the image, so that the grayscale image becomes It is clearer, and at the same time, it can better preserve the details and edge information of the image.

Embodiment 3

[0056] Embodiment 3: In this embodiment, in step S3, the interactive threshold segmentation method is used to extract the pore structure for the first time, starting from the gray level of the two-dimensional grayscale image, the gray level of all pixels is compared with the threshold value and then Select an appropriate threshold to extract most of the pore structures that are easy to extract, and try to avoid overflow of pore volume during extraction. In step S4 of this embodiment, the method of combining top-down hat transformation is used to further stretch the foreground and background grayscale of the grayscale image, highlighting the details of weak structural pores in the grayscale image of conglomerate, and to play a role in correcting grayscale. degree of image enhancement.

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Abstract

The invention discloses a conglomerate pore structure characterization method based on a CT three-dimensional data volume. The method overcomes the defects of conventional pore structure research, can realize the three-dimensional visualization of a rock microstructure under the condition that a conglomerate sample is not damaged, can truly restore the internal structure of the conglomerate, can better extract the pore structures of micro-cracks and weak structures in the strong-heterogeneity conglomerate, can obtain the more accurate pore structure of the conglomerate, and can reflect the pore structures in the conglomerate more truly.

Description

technical field [0001] The invention relates to the field of oil and natural gas exploration and development, in particular to a method for characterizing the pore structure of conglomerate based on CT three-dimensional data volume. Background technique [0002] Conglomerate has mixed particle sizes, well-developed fractures, and strong heterogeneity, which lead to complex pore structure and difficult characterization of conglomerate reservoirs. Pore ​​structure is the decisive factor to characterize the porosity and permeability of conglomerate reservoirs. Scientifically characterizing the complex pore structure of conglomerate reservoirs is beneficial to reservoir identification, evaluation and classification, and is of great significance to the efficient exploration and development of oil and gas resources. At present, there are many methods for evaluating the microstructure of conglomerate. For example, when measuring the pores of strongly heterogeneous conglomerate by m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N15/08
CPCG01N15/088
Inventor 梁利喜缑健儒刘向君熊健张文丁乙侯连浪杜京珊
Owner SOUTHWEST PETROLEUM UNIV
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