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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 1543-1649

ISSN Online: 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

MULTISCALE PORE STRUCTURE ANALYSIS IN CARBONATE ROCKS

Volume 13, Issue 1, 2015, pp. 1-9
DOI: 10.1615/IntJMultCompEng.2014010500
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ABSTRACT

Carbonate reservoirs are inherently heterogeneous; the pore sizes can vary over orders of magnitude and often show trimodal distribution, and it is necessary to describe the pore characteristics of different scales in carbonate rocks. In this article, two-dimensional thin section carbonate images with different resolutions are collected with scanning electron microscopy; the lowest-resolution image shows vug characteristics, the intermediate resolution shows interpore characteristics, and the highest-resolution image shows intrapore characteristics. Based on three different resolution images, a Markov chain Monte Carlo method is used to reconstruct vug, interpore, and intrapore digital rock, and the corresponding pore-scale network models are extracted, respectively. Then, a hybrid method including superposition and integration is used to construct a carbonate multiscale network model. At last, the geometry-topology and flow properties are analyzed and compared among the vug, macro pore, micro pore, and multiscale networks. Results show that the carbonate multiscale network with hybrid method could capture the pore size distribution and connectivity characteristics of different scales simultaneously. More importantly, different contributions to flow properties of certain scale pore structures are recognized, flow processes are simulated among each pore-scale network under water wet conditions, and the water phase relative permeability curves of each pore network model have a similar tendency; however, the oil phase relative permeability curve of the multiscale network model has the highest isoperm saturation and lowest residual oil saturation. Compared with each single pore-scale network model, the multiscale network has a better connectivity and flow ability owing to the mutual connection between different scale pores, and it has important theoretical and applicational meanings for the microscopic flow study in carbonate rocks.

CITED BY
  1. 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

  2. Ning Yang, Wei Chenji, Qin Guan, A unified grayscale lattice Boltzmann model for multiphase fluid flow in vuggy carbonates, Advances in Water Resources, 124, 2019. Crossref

  3. Wu Yuqi, Tahmasebi Pejman, Lin Chengyan, Munawar Muhammad Jawad, Cnudde Veerle, Effects of micropores on geometric, topological and transport properties of pore systems for low-permeability porous media, Journal of Hydrology, 575, 2019. Crossref

  4. Yang Yongfei, Li Yingwen, Yao Jun, Zhang Kai, Iglauer Stefan, Luquot Linda, Wang Zengbao, Formation damage evaluation of a sandstone reservoir via pore-scale X-ray computed tomography analysis, Journal of Petroleum Science and Engineering, 183, 2019. Crossref

  5. Kirch Alexsandro, Razmara Naiyer, Mamani Vladivostok Franz Suxo, Meneghini Julio Romano, Miranda Caetano Rodrigues, Multiscale Molecular Modeling Applied to the Upstream Oil & Gas Industry Challenges, Polytechnica, 3, 1-2, 2020. Crossref

  6. Yang Yongfei, Tao Liu, Yang Haiyuan, Iglauer Stefan, Wang Xin, Askari Roohollah, Yao Jun, Zhang Kai, Zhang Lei, Sun Hai, Stress Sensitivity of Fractured and Vuggy Carbonate: An X‐Ray Computed Tomography Analysis, Journal of Geophysical Research: Solid Earth, 125, 3, 2020. Crossref

  7. Zhou Hanmiao, Li Song, Zhao Suping, Wang Junjian, Wang Mingfeng, Stress Sensitivity of Coal: A Digital Core Analysis, Energy & Fuels, 36, 6, 2022. Crossref

  8. Fan Yuchen, Liu Keyu, Yu Lingjie, Liu Jie, Regenauer-Lieb Klaus, Assessment of multi-scale pore structures and pore connectivity domains of marine shales by fractal dimensions and correlation lengths, Fuel, 330, 2022. Crossref

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