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An improved method for permeability estimation of the bioclastic limestone reservoir based on NMR data

  • Published:2017-10 Issue: Volume:283 Page:96-109
  • ISSN:1090-7807
  • Container-title:Journal of Magnetic Resonance
  • language:en
  • Short-container-title:Journal of Magnetic Resonance

Author:

Ge Xinmin,Fan Yiren,Liu Jianyu,Zhang Li,Han Yujiao,Xing Donghui

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province, China

Major National Science and Technology Projects of China

National Key Foundation for Exploring Scientific Instrument of China

Science research and Technology Development Project of CNPC

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Nuclear and High Energy Physics,Biochemistry,Biophysics

Reference78 articles.

1. A systematic method for permeability prediction, a Petro- Facies approach;Chehrazi;J. Petrol. Sci. Eng.,2012

2. Prediction of hydrocarbon reservoirs permeability using support vector machine;Gholami;Math. Probl. Eng.,2012

3. Extending NMR data for permeability estimation in fine-grained sediments;Daigle;Mar. Petrol. Geol.,2009

4. Grain size and depositional environment as predictors of permeability in coastal marine sands;Wilson;Estuar. Coast. Shelf. S,2008

5. Estimating permeability using median pore-throat radius obtained from mercury intrusion porosimetry;Gao;J. Geophys. Eng.,2013
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