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Acta Geophysica

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Volume 63, Issue 5 (Oct 2015)


Estimation of Permeability from NMR Logs Based on Formation Classification Method in Tight Gas Sands

Deng-Feng Wei
  • School of Graduate Student, College of Resources and Environment, Southwest Petroleum University, Sichuan, PR China
  • Email:
/ Xiao-Peng Liu
  • Geological Exploration and Development Research Institute, Sichuan-Changqing Drilling and Exploration Engineering Corporation, CNPC, Sichuan, PR China
/ Xiao-Xin Hu
  • Geological Exploration and Development Research Institute, Sichuan-Changqing Drilling and Exploration Engineering Corporation, CNPC, Sichuan, PR China
/ Rui Xu
  • Tuha Division of CNPC Well Logging Company Ltd., Xinjiang, PR China
/ Ling-Ling Zhu
  • Tuha Division of CNPC Well Logging Company Ltd., Xinjiang, PR China
Published Online: 2015-11-10 | DOI: https://doi.org/10.1515/acgeo-2015-0042


The Schlumberger Doll Research (SDR) model and cross plot of porosity versus permeability cannot be directly used in tight gas sands. In this study, the HFU approach is introduced to classify rocks, and determine the involved parameters in the SDR model. Based on the difference of FZI, 87 core samples, drilled from tight gas sandstones reservoirs of E basin in northwest China and applied for laboratory NMR measurements, were classified into three types, and the involved parameters in the SDR model are calibrated separately. Meanwhile, relationships of porosity versus permeability are also established. The statistical model is used to calculate consecutive FZI from conventional logs. Field examples illustrate that the calibrated SDR models are applicable in permeability estimation; models established from routine core analyzed results are effective in reservoirs with permeability lower than 0.3 mD, while the unified SDR model is only valid in reservoirs with permeability ranges from 0.1 to 0.3 mD.

Keywords: tight gas sandstones; permeability; formation classification method; SDR model; nuclear magnetic resonance (NMR) logs


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About the article

Received: 2014-01-20

Revised: 2014-07-08

Accepted: 2014-07-14

Published Online: 2015-11-10

Published in Print: 2015-10-01

Citation Information: Acta Geophysica, ISSN (Online) 1895-7455, DOI: https://doi.org/10.1515/acgeo-2015-0042. Export Citation

© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

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