Computed tomography and image processing based multi-scale fracture extraction method for core samples

Fractures are widely present in various kinds of rocks and are critical for reservoir evaluation, deve-lopment, and geological disaster prediction. Existing image-based fracture extraction technologies have noticeable deficiencies in micro-fracture recognition, fracture detail extraction, and fractu...

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Main Authors: Feng WU, Xuewu CHEN, Hui ZHAO, Xiangchao SHI, Jianfeng LIU
Format: Article
Language:Chinese
Published: Editorial Office of Petroleum Geology and Experiment 2025-07-01
Series:Shiyou shiyan dizhi
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Online Access:https://www.sysydz.net/cn/article/doi/10.11781/sysydz2025040882
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author Feng WU
Xuewu CHEN
Hui ZHAO
Xiangchao SHI
Jianfeng LIU
author_facet Feng WU
Xuewu CHEN
Hui ZHAO
Xiangchao SHI
Jianfeng LIU
author_sort Feng WU
collection DOAJ
description Fractures are widely present in various kinds of rocks and are critical for reservoir evaluation, deve-lopment, and geological disaster prediction. Existing image-based fracture extraction technologies have noticeable deficiencies in micro-fracture recognition, fracture detail extraction, and fracture and pore differentiation. A multiscale fracture filter kernel superimposition noise reduction method was proposed, which used multiple filter kernels in superimposition to filter and reduce noises in CT scanning images of rock cores, with the filtering results then superimposed. A multiscale information-enhanced fracture segmentation method was also proposed. It combined image segmentation methods such as threshold and top-hat segmentation with edge enhancement to better capture micro-fracture information, applying different strategies for fractures of varying scales. The relationships between morphological parameters such as length, width, surface area, volume, shape factor, flatness, and elongation of the segmented 3D volumes were analyzed. The results showed that the proposed noise reduction method significantly reduced noise interference in CT scanning images of rock cores, and accurately preserved detailed fracture characteristics. This method improves the accuracy and stability of multiscale fracture extraction. The fracture morphological parameter chart effectively eliminates non-fractures such as pores and special mineral boundaries that are similar to fractures, achieving precise extraction of multiscale fractures.
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institution Matheson Library
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publishDate 2025-07-01
publisher Editorial Office of Petroleum Geology and Experiment
record_format Article
series Shiyou shiyan dizhi
spelling doaj-art-093083f19e1a4b8babb71ff20a6a6e812025-07-28T01:13:25ZzhoEditorial Office of Petroleum Geology and ExperimentShiyou shiyan dizhi1001-61122025-07-0147488289410.11781/sysydz2025040882sysydz-47-4-882Computed tomography and image processing based multi-scale fracture extraction method for core samplesFeng WU0Xuewu CHEN1Hui ZHAO2Xiangchao SHI3Jianfeng LIU4School of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaSchool of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaResearch Institute of Geological Exploration and Development, Chuanqing Drilling Engineering Co., LTD., PetroChina, Chengdu, Sichuan 610051, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan 610065, ChinaFractures are widely present in various kinds of rocks and are critical for reservoir evaluation, deve-lopment, and geological disaster prediction. Existing image-based fracture extraction technologies have noticeable deficiencies in micro-fracture recognition, fracture detail extraction, and fracture and pore differentiation. A multiscale fracture filter kernel superimposition noise reduction method was proposed, which used multiple filter kernels in superimposition to filter and reduce noises in CT scanning images of rock cores, with the filtering results then superimposed. A multiscale information-enhanced fracture segmentation method was also proposed. It combined image segmentation methods such as threshold and top-hat segmentation with edge enhancement to better capture micro-fracture information, applying different strategies for fractures of varying scales. The relationships between morphological parameters such as length, width, surface area, volume, shape factor, flatness, and elongation of the segmented 3D volumes were analyzed. The results showed that the proposed noise reduction method significantly reduced noise interference in CT scanning images of rock cores, and accurately preserved detailed fracture characteristics. This method improves the accuracy and stability of multiscale fracture extraction. The fracture morphological parameter chart effectively eliminates non-fractures such as pores and special mineral boundaries that are similar to fractures, achieving precise extraction of multiscale fractures.https://www.sysydz.net/cn/article/doi/10.11781/sysydz2025040882fracturedigital rock corect scanningimage processingfilteringedge enhancement
spellingShingle Feng WU
Xuewu CHEN
Hui ZHAO
Xiangchao SHI
Jianfeng LIU
Computed tomography and image processing based multi-scale fracture extraction method for core samples
Shiyou shiyan dizhi
fracture
digital rock core
ct scanning
image processing
filtering
edge enhancement
title Computed tomography and image processing based multi-scale fracture extraction method for core samples
title_full Computed tomography and image processing based multi-scale fracture extraction method for core samples
title_fullStr Computed tomography and image processing based multi-scale fracture extraction method for core samples
title_full_unstemmed Computed tomography and image processing based multi-scale fracture extraction method for core samples
title_short Computed tomography and image processing based multi-scale fracture extraction method for core samples
title_sort computed tomography and image processing based multi scale fracture extraction method for core samples
topic fracture
digital rock core
ct scanning
image processing
filtering
edge enhancement
url https://www.sysydz.net/cn/article/doi/10.11781/sysydz2025040882
work_keys_str_mv AT fengwu computedtomographyandimageprocessingbasedmultiscalefractureextractionmethodforcoresamples
AT xuewuchen computedtomographyandimageprocessingbasedmultiscalefractureextractionmethodforcoresamples
AT huizhao computedtomographyandimageprocessingbasedmultiscalefractureextractionmethodforcoresamples
AT xiangchaoshi computedtomographyandimageprocessingbasedmultiscalefractureextractionmethodforcoresamples
AT jianfengliu computedtomographyandimageprocessingbasedmultiscalefractureextractionmethodforcoresamples