基于数字岩石模型的砂砾岩全岩心多尺度多区域孔隙结构分析

IF 2.6 3区 工程技术 Q3 ENERGY & FUELS Journal of Energy Resources Technology-transactions of The Asme Pub Date : 2023-05-15 DOI:10.1115/1.4062525
Chenchen Wang, H Zhao, Guanglong Sheng, Jingwei Huang, Qi Zhang, Yuhui Zhou
{"title":"基于数字岩石模型的砂砾岩全岩心多尺度多区域孔隙结构分析","authors":"Chenchen Wang, H Zhao, Guanglong Sheng, Jingwei Huang, Qi Zhang, Yuhui Zhou","doi":"10.1115/1.4062525","DOIUrl":null,"url":null,"abstract":"\n Based on industrial CT, the whole core sandy conglomerate is scanned with a resolution of 0.5 mm/voxel, and the representative debris region and filling region subsample is selected to be scanned with a resolution of 15 µm/voxel using micro-CT. Then, four regions of the whole core sandy conglomerate image are segmented with the multi-threshold segmentation algorithm including macro-pore, debris, filling and gravel regions, while binary segmentation is performed on the debris and filling subsamples to segment the debris pores and filling pores respectively. Finally, the multi-scale and multi-region pore network model of the sandy conglomerate was constructed by the integration method to analyze the different types of pore characteristics. It can be found that, the integrated sandy conglomerate model can reflect the structural characteristics of macro-pore, debris pore and filling pore at the same time. Meanwhile, the porosity/permeability of integrated sandy conglomerate model are calculated and is basically consistent with the that of lab test results, which greatly increases the accuracy of the multi-scale multi-region pore network model.","PeriodicalId":15676,"journal":{"name":"Journal of Energy Resources Technology-transactions of The Asme","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-scale and multi-region pore structure analysis on sandy conglomerate whole core with digital rock model\",\"authors\":\"Chenchen Wang, H Zhao, Guanglong Sheng, Jingwei Huang, Qi Zhang, Yuhui Zhou\",\"doi\":\"10.1115/1.4062525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Based on industrial CT, the whole core sandy conglomerate is scanned with a resolution of 0.5 mm/voxel, and the representative debris region and filling region subsample is selected to be scanned with a resolution of 15 µm/voxel using micro-CT. Then, four regions of the whole core sandy conglomerate image are segmented with the multi-threshold segmentation algorithm including macro-pore, debris, filling and gravel regions, while binary segmentation is performed on the debris and filling subsamples to segment the debris pores and filling pores respectively. Finally, the multi-scale and multi-region pore network model of the sandy conglomerate was constructed by the integration method to analyze the different types of pore characteristics. It can be found that, the integrated sandy conglomerate model can reflect the structural characteristics of macro-pore, debris pore and filling pore at the same time. Meanwhile, the porosity/permeability of integrated sandy conglomerate model are calculated and is basically consistent with the that of lab test results, which greatly increases the accuracy of the multi-scale multi-region pore network model.\",\"PeriodicalId\":15676,\"journal\":{\"name\":\"Journal of Energy Resources Technology-transactions of The Asme\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Energy Resources Technology-transactions of The Asme\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4062525\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Energy Resources Technology-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062525","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

基于工业CT,以0.5 mm/体素的分辨率扫描整个岩芯砂砾岩,并选择具有代表性的碎屑区和填充区子样本,使用微型CT以15µm/体素的精度进行扫描。然后,采用多阈值分割算法对整个岩心砂砾岩图像的四个区域进行分割,包括宏观孔隙、碎屑、充填和砾石区域,并对碎屑和充填子样本进行二值分割,分别分割碎屑孔隙和充填孔隙。最后,采用积分方法建立了砂砾岩多尺度、多区域孔隙网络模型,分析了不同类型的孔隙特征。结果表明,综合砂砾岩模型能够同时反映宏观孔隙、碎屑孔隙和充填孔隙的结构特征。同时,对综合砂砾岩模型的孔渗进行了计算,与室内试验结果基本一致,大大提高了多尺度多区域孔隙网络模型的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multi-scale and multi-region pore structure analysis on sandy conglomerate whole core with digital rock model
Based on industrial CT, the whole core sandy conglomerate is scanned with a resolution of 0.5 mm/voxel, and the representative debris region and filling region subsample is selected to be scanned with a resolution of 15 µm/voxel using micro-CT. Then, four regions of the whole core sandy conglomerate image are segmented with the multi-threshold segmentation algorithm including macro-pore, debris, filling and gravel regions, while binary segmentation is performed on the debris and filling subsamples to segment the debris pores and filling pores respectively. Finally, the multi-scale and multi-region pore network model of the sandy conglomerate was constructed by the integration method to analyze the different types of pore characteristics. It can be found that, the integrated sandy conglomerate model can reflect the structural characteristics of macro-pore, debris pore and filling pore at the same time. Meanwhile, the porosity/permeability of integrated sandy conglomerate model are calculated and is basically consistent with the that of lab test results, which greatly increases the accuracy of the multi-scale multi-region pore network model.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.40
自引率
30.00%
发文量
213
审稿时长
4.5 months
期刊介绍: Specific areas of importance including, but not limited to: Fundamentals of thermodynamics such as energy, entropy and exergy, laws of thermodynamics; Thermoeconomics; Alternative and renewable energy sources; Internal combustion engines; (Geo) thermal energy storage and conversion systems; Fundamental combustion of fuels; Energy resource recovery from biomass and solid wastes; Carbon capture; Land and offshore wells drilling; Production and reservoir engineering;, Economics of energy resource exploitation
期刊最新文献
Modeling and influence factors analysis of refueling emissions for plug-in hybrid electric vehicles Structure optimization and performance evaluation of downhole oil-water separation tools: a novel hydrocyclone Effects of Trapped Gas in Fracture-Pore Carbonate Reservoirs Shale Oil-water Two-phase Flow Simulation based on Pore Network Modeling Investigation on the effects of nanorefrigerants in a combined cycle of ejector refrigeration cycle and Kalina cycle
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1