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  4. 中国科学院油气资源研究重点实验室
Multiscale Reconstructions, Effective Elastic Properties, and Ultrasonic Responses of Kerogen Matter Based on Digital Organic Shales

文献类型：期刊论文

作者Rao, Ying2,3,5; Fu, Li-Yun1,4; Wang, Zhi-Wei1,4; Fu, Bo-Ye2,5
刊名IEEE ACCESS
出版日期2021
卷号9页码:43785-43798
关键词Morphology Image reconstruction Acoustics Minerals Numerical models Rocks Random media Digital organic shales effective elastic properties kerogen contents multiscale reconstructions organic matter morphologies ultrasonic responses
ISSN号2169-3536
DOI10.1109/ACCESS.2021.3058944
英文摘要Organic shales usually present significant heterogeneities in rock textures and reservoir properties due to differing kerogen contents and morphologies, subsequently impacting shale elastic properties and acoustic responses. Numerical upscaling of digital organic shales to evaluate effective elastic properties and acoustic responses has important implications for source rocks and unconventional reservoir characterization. We propose a modeling framework that includes the multiscale reconstruction of kerogen distributions, the numerical modeling of effective elastic properties, and the acoustic response to evaluate the contribution of organic matter. Based on digitized images of the microstructure of Longmaxi black shale samples obtained by X-ray CT, the kerogen components are identified and decomposed into different-level slices in terms of organic matter sizes and morphologies. Multiscale random media reconstruction is applied to these kerogen slices, with synthetic kerogen distributions validated by original counterparts. A finite-element method is used to model the effective elastic properties of digital organic shales, by which we investigate the effect of different kerogen contents and organic matter morphologies. We use a rotated staggered-grid finite-difference method to simulate ultrasonic wave propagation in digital organic shales to evaluate the response of different kerogen contents and organic matter morphologies. Numerical examples show that the multiscale random media method can be applicable to natural organic shales for the reconstruction of kerogen distributions. The elastic properties mainly depend on kerogen contents, with less influence by organic matter morphologies. The ultrasonic scattering effects become stronger for higher kerogen contents with smaller rounding coefficients. Our results confirm the applicability of the proposed modeling framework to support unconventional reservoir characterization. The purpose of this study is to provide the possibility of indicating the sweet point of shale.
资助项目National Natural Science Foundation of China[41821002] ; National Major Project of China[2017ZX05008-007]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000633372000001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/101036]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Fu, Li-Yun
作者单位1.China Univ Petr East China, Key Lab Deep Oil & Gas, Qingdao 266580, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Mineral Resources, Qingdao 266071, Peoples R China
5.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Rao, Ying,Fu, Li-Yun,Wang, Zhi-Wei,et al. Multiscale Reconstructions, Effective Elastic Properties, and Ultrasonic Responses of Kerogen Matter Based on Digital Organic Shales[J]. IEEE ACCESS,2021,9:43785-43798.
APA Rao, Ying,Fu, Li-Yun,Wang, Zhi-Wei,&Fu, Bo-Ye.(2021).Multiscale Reconstructions, Effective Elastic Properties, and Ultrasonic Responses of Kerogen Matter Based on Digital Organic Shales.IEEE ACCESS,9,43785-43798.
MLA Rao, Ying,et al."Multiscale Reconstructions, Effective Elastic Properties, and Ultrasonic Responses of Kerogen Matter Based on Digital Organic Shales".IEEE ACCESS 9(2021):43785-43798.

入库方式： OAI收割

来源：地质与地球物理研究所

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