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Quantitative evaluation of the heterogeneity for tight sand based on the nuclear magnetic resonance imaging

  • Published:2017-02 Issue: Volume:38 Page:74-80
  • ISSN:1875-5100
  • Container-title:Journal of Natural Gas Science and Engineering
  • language:en
  • Short-container-title:Journal of Natural Gas Science and Engineering

Author:

Ge Xinmin,Fan Yiren,Xiao Yufeng,Liu Jianyu,Xing Donghui,Gu Dingna,Deng Shaogui

Funder

Fundamental Research Funds

Natural Science Foundation of Shandong Province, China

National Key Foundation for Exploring Scientific Instrument of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference40 articles.

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2. A genetic algorithm solution to the collaborative filtering problem;Ar;Expert. Syst. Appl.,2016

3. Second-order analysis by variograms for curvature measures of two-phase structures;Arns;Eur. Phys. J. B,2005

4. Quantification and description of fracture network by MRI image analysis;Balzarini;Magn. Reson. Imaging,2001

5. Magnetic resonance imaging of porosity heterogeneity in bioturbated sandstone from the White Rose reservoir, Atlantic Canada;Belonogov,2005
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