图书馆订阅: Guest
国际多尺度计算工程期刊

每年出版 6 

ISSN 打印: 1543-1649

ISSN 在线: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

A NEW VOXEL UPSCALING METHOD BASED ON DIGITAL ROCK

卷 13, 册 4, 2015, pp. 339-346
DOI: 10.1615/IntJMultCompEng.2015013447
Get accessGet access

摘要

In this paper, a voxel upscaling method for digital rock is proposed; with a given upscaling factor, the porosity is chosen as the fitting function to optimize the segmentation threshold based on dichotomy, and the corresponding digital rock may be obtained; Finally, for homogeneous sandstone and heterogeneous carbonate rock, the optimal segmentation thresholds with different upscaling factors are analyzed; also the corresponding geometry and topology parameters are compared based on the pore network model. Results show that the voxel upscaling method for digital rock with dichotomy can calculate the optimal segmentation threshold quickly, and the corresponding voxels of digital rock decrease greatly, which could improve the calculation efficiency highly; Meanwhile, the optimal segmentation threshold could reflect the rock heterogeneity to some extent; the higher the optimal segmentation threshold is, the greater the rock heterogeneity will be, and the optimal segmentation threshold decreases with the increase of the upscaling factor; The sandstone voxel representative elementary volume (REV) is obtained with the structure analysis of each digital rock. All these results are of important significance for the upscaling study from microscopic scale to macroscopic scale.

对本文的引用
  1. An Senyou, Yao Jun, Yang Yongfei, Zhang Wenjie, Zhao Jianlin, Li Aifen, The microscale analysis of reverse displacement based on digital core, Journal of Natural Gas Science and Engineering, 48, 2017. Crossref

  2. Yang Yongfei, Zhang Wenjie, Gao Ying, Wan Yujin, Su Yunhe, An Senyou, Sun Hai, Zhang Lei, Zhao Jianlin, Liu Lei, Liu Pengfei, Liu Zhihui, Li Aifen, Yao Jun, Influence of stress sensitivity on microscopic pore structure and fluid flow in porous media, Journal of Natural Gas Science and Engineering, 36, 2016. Crossref

  3. Liu Lijun, Yao Jun, Zhang Lei, An Senyou, Zhao Jianlin, Sun Hai, REV-scale simulation of micro-fractured unconventional gas reservoir, Journal of Natural Gas Science and Engineering, 48, 2017. Crossref

  4. Yang Yongfei, Liu Zhihui, Sun Zhixue, An Senyou, Zhang Wenjie, Liu Pengfei, Yao Jun, Ma Jingsheng, Research on Stress Sensitivity of Fractured Carbonate Reservoirs Based on CT Technology, Energies, 10, 11, 2017. Crossref

  5. Du Dongxing, Zhang Na, Li Yingge, Sun Rui, Wang Chengcheng, Parametric studies on foam displacement behavior in a layered heterogeneous porous media based on the stochastic population balance model, Journal of Natural Gas Science and Engineering, 48, 2017. Crossref

  6. An Senyou, (Whitney) Yu Huidan, Wang Zhiqiang, Kapadia Behram, Yao Jun, Unified mesoscopic modeling and GPU-accelerated computational method for image-based pore-scale porous media flows, International Journal of Heat and Mass Transfer, 115, 2017. Crossref

  7. Chung Traiwit, Wang Ying Da, Armstrong Ryan T., Mostaghimi Peyman, Voxel agglomeration for accelerated estimation of permeability from micro-CT images, Journal of Petroleum Science and Engineering, 184, 2020. Crossref

  8. Yang Yongfei, Yang Haiyuan, Tao Liu, Yao Jun, Wang Wendong, Zhang Kai, Luquot Linda, Microscopic Determination of Remaining Oil Distribution in Sandstones With Different Permeability Scales Using Computed Tomography Scanning, Journal of Energy Resources Technology, 141, 9, 2019. Crossref

  9. Li Xiaobin, Luo Miao, Liu Jiangping, Fractal characteristics based on different statistical objects of process-based digital rock models, Journal of Petroleum Science and Engineering, 179, 2019. Crossref

  10. Zhu Linqi, Zhang Chong, Zhang Chaomo, Zhou Xueqing, Zhang Zhansong, Nie Xin, Liu Weinan, Zhu Boyuan, Challenges and Prospects of Digital Core-Reconstruction Research, Geofluids, 2019, 2019. Crossref

  11. Liang Zejun, Wang Chunsheng, Zhou Yan, Analysis of Seepage Characteristics of Complex Pore Structure Rock by Digital Core Method, Chemistry and Technology of Fuels and Oils, 55, 6, 2020. Crossref

  12. Yang Yongfei, Yao Jun, Wang Chenchen, Gao Ying, Zhang Qi, An Senyou, Song Wenhui, New pore space characterization method of shale matrix formation by considering organic and inorganic pores, Journal of Natural Gas Science and Engineering, 27, 2015. Crossref

Begell Digital Portal Begell 数字图书馆 电子图书 期刊 参考文献及会议录 研究收集 订购及政策 Begell House 联系我们 Language English 中文 Русский Português German French Spain