气候变化领域集成服务门户(CCPortal): An efficient, consistent, and trackable method to quantify organic matter–hosted porosity from ion-milled scanning electron microscope images of mudrock gas reservoirs

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DOI	10.1306/12131817231
	An efficient, consistent, and trackable method to quantify organic matter–hosted porosity from ion-milled scanning electron microscope images of mudrock gas reservoirs
	Song L.; Warner T.; Carr T.
发表日期	2019
ISSN	0149-1423
卷号	103 期号:6
英文摘要	To precisely quantify pore space and organic matter (OM) from two-dimensional scanning electron microscope (SEM) images, an efficient and consistent workflow using adaptive local thresholding, Otsu thresholding and Image Calculator are presented. It can offer an automated segmentation of pore space and OM, then differentiates the porosity hosted by OM and minerals. The workflow is demonstrated on a widely distributed set of core samples from Mahantango and Marcellus shale units of the Appalachian basin. The vitrinite reflectance of these samples ranges from 1.36% to 2.89%, covering a spectrum of thermal maturity. Organic matter abundance and mineralogy also vary significantly. The results are compared with routine rock property tests, such as helium porosimeter (Gas Research Institute method), and total OM. The proposed workflow improves quantitative determination of porosity above a certain pore size and OM in shale samples. Advantages of this workflow include improved consistency and speed of analysis of SEM images of shale samples at the nanoscale. Copyright ©2019. The American Association of Petroleum Geologists. All rights reserved.
语种	英语
scopus关键词	Biogeochemistry; Biological materials; Minerals; Organic compounds; Petroleum reservoirs; Pore size; Scanning electron microscopy; Shale; Automated segmentation; Local thresholding; Organic matter abundances; Otsu thresholding; Quantitative determinations; Scanning electrons; Two-dimensional scanning; Vitrinite reflectance; Image enhancement; efficiency measurement; hydrocarbon reservoir; imagery; methodology; mudstone; organic matter; pore space; porosity; rock property; scanning electron microscopy; shale; thermal maturity; vitrinite reflectance; Appalachian Basin
来源期刊	AAPG Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/125010
作者单位	Department of Geology and Geography, West Virginia University, Morgantown, WV, United States; Department of Geological Sciences, California State University, Bakersfield, Bakersfield, CA, United States; 30 Microns Geologic Consulting, LLC, Pittsburgh, PA, United States
推荐引用方式 GB/T 7714	Song L.,Warner T.,Carr T.. An efficient, consistent, and trackable method to quantify organic matter–hosted porosity from ion-milled scanning electron microscope images of mudrock gas reservoirs[J],2019,103(6).
APA	Song L.,Warner T.,&Carr T..(2019).An efficient, consistent, and trackable method to quantify organic matter–hosted porosity from ion-milled scanning electron microscope images of mudrock gas reservoirs.AAPG Bulletin,103(6).
MLA	Song L.,et al."An efficient, consistent, and trackable method to quantify organic matter–hosted porosity from ion-milled scanning electron microscope images of mudrock gas reservoirs".AAPG Bulletin 103.6(2019).