Showing 1 - 20 results of 34 for search '"Archie ', query time: 0.05s Refine Results
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    Estimation of Water Saturation in Shale Formation Using In Situ Multifrequency Dielectric Permittivity by Yongchae Cho, Sean S. Dolan, Nishank Saxena, Vishal Das

    Published 2022-01-01
    “…The estimated Archie’s parameter from the SMD model is sensitive to the lower frequency channels of the multifrequency dielectric logging tool. …”
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    Mechanism of Forming Low Resistivity in Shale Reservoirs by Jirong Xie, Jiahuan He, Keming Zhou, Zhijuan Tang, Manfei Chen, Tingting He, Mengwen Zou, Tao Luo, Nong Li, Li Wang

    Published 2022-01-01
    “…However, a lot of exploration and development practices on shale gas reservoirs in Sichuan Basin, China, prove that it is hard to characterize a functional relation between resistivity and water saturation using the Archie equation. Therefore, to make clear the mechanism to form low resistivity in shale gas reservoirs, the matrix resistivity was calculated through the percolation network simulation based on pore structure characteristics and mineral compositional parameters. …”
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    Estimation of the Resistivity Index via Nuclear Magnetic Resonance Log Data Based on Fractal Theory by Cheng Feng, Chuang Han, Wenxing Duan, Wei Wang, Yuntao Zhong, Ziyan Feng, Ning Zhang

    Published 2020-01-01
    “…Firstly, a novel model of estimating the resistivity index with T2 time was derived based on fractal theory, the relationship between nuclear magnetic resonance (NMR) T2 spectrum and capillary pressure curve (T2-Pc), and Archie formula. It regards the logarithm of the resistivity index as the dependent variable, with T2 time and T2 time when water saturation is 100% as the independent variables. …”
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    Canonical correlation analysis of big data based on cloud model by Jing YANG, Wen-ping LI, Jian-pei ZHANG

    Published 2013-10-01
    “…The complexity of traditional CCA methods is too high meet the requirements to analyze big data due to their huge scale which is reaching the level of peta-byte.A novel approach to CCA was proposed to mine the big data by introducing the cloud model which is a brand-nowel theory about the uncertainty artificial intelligence.A distributed ar-chitecture based on cloud computing was established.All of the clouds distributing on the nodes of the distributed archi-tecture were combined to a center cloud via cloud operation (whe cloud is a synopsis of data and which is a concept coming from the cloud theory).A type of virtual sample of data called cloud drops created based on the center cloud.Fi-nally the computing of CCA was imposed on the cloud drops.The CCA was impose on the cloud drops with less volume,which improves the efficiency.Experimental results on real data sets indicate the effectiveness of this method.…”
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