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砂岩CT扫描图像分割及孔渗关系

Sandstone CT Scan Image Segmentation and Pore Permeability Relationship

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【作者】 焦语婷胡望水石桓山柴华徐雅婷

【Author】 JIAO Yu-ting;HU Wang-shui;SHI Huan-shan;CHAI Hua;XU Ya-ting;College of Earth Sciences, Yangtze University;The Company of Wuhan Zhongwang Yineng;

【通讯作者】 胡望水;

【机构】 长江大学地球科学学院武汉中旺亿能有限公司

【摘要】 针对计算机断层成像(computed tomography, CT)扫描三维数字岩心构建中的图像分割技术优化问题,采用Avizo软件平台系统比对基于阈值与形态学的图像分割技术特性,明确其适用场景。基于大庆油田姚一段葡萄花油层砂岩样品微观孔隙分析表明:等效直径<30μm的微孔频数占比达90%,但孔隙体积贡献率不足20%;等效直径>30μm的孔隙虽频数占比仅10%,其体积贡献超过75%,证实其为优势储集空间。基于格子玻尔兹曼法的渗流模拟揭示:渗透率的主控因素依次为迂曲度、配位数及喉道半径,而分形维数仅表征孔隙结构复杂程度,与渗透率无显著相关性。建立了水平方向绝对渗透率与迂曲度的非线性拟合曲线,并采用25 mm柱塞样验证。研究成果为数字岩心图像处理技术优选及储层渗流规律预测提供理论依据。

【Abstract】 To tackle the optimization challenge of image segmentation in three-dimensional digital core construction via computed tomography(CT) scanning, systematic comparisons of threshold-based and morphological image segmentation features were conducted using the Avizo software platform. Their applicable contexts were clarified accordingly.Microscopic pore analysis of sandstone samples from the Putaohua oil layer(Yaoyi Member, Daqing Oilfield) demonstrates that micropores with an equivalent diameter <30 μm constitute 90% of the total pore frequency but contribute less than 20% to pore volume. In contrast, pores with an equivalent diameter>30 μm, though representing merely 10% of the frequency, account for over 75% of the volume—confirming them as the predominant reservoir space.Seepage modeling based on the lattice Boltzmann method indicates that the primary controlling factors of permeability are tortuosity, coordination number, and throat radius in descending order. The fractal dimension only quantifies pore structure complexity and bears no notable correlation with permeability.A nonlinear fitting curve between absolute horizontal permeability and tortuosity was developed, with validation carried out using 25 mm core plugs. These findings offer a theoretical foundation for the selection of digital core image processing technologies and the prediction of reservoir seepage behaviors.

【基金】 国家科技重大专项(2028ZX05030,2011ZX05030,2017ZX05032)
  • 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2026年08期
  • 【分类号】P618.13;TE311
  • 【下载频次】55
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