The applicability analysis of models for permeability prediction using mercury injection capillary pressure (MICP) data-Reference-Cited by-同舟云学术

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The applicability analysis of models for permeability prediction using mercury injection capillary pressure (MICP) data

Published:2017-07 Issue: Volume:156 Page:589-593
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Xiao Liang,Liu Die,Wang Hua,Li Junran,Lu Jun,Zou Changchun

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Open Fund of Key Laboratory of Geo-detection

China University of Geosciences, Beijing

Ministry of Education

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference12 articles.

1. Correlation between sandstone permeability and capillary pressure curves;Guo;J. Petrol. Sci. Eng.,2004

2. Combine the capillary pressure curve data with the porosity to improve the prediction precision of permeability of sandstone reservoir;Liu;J. Petrol. Sci. Eng.,2016

3. Estimation of permeability by integrating nuclear magnetic resonance (NMR) logs with mercury injection capillary pressure (MICP) data in tight gas sands;Mao;Appl. Magn. Reson.,2013

4. Capillary pressures-their measurement using mercury and the calculation of permeability thereform;Purcell;Trans. AIME,1949

5. Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data;Rezaee;J. Petrol. Sci. Eng.,2012

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