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A new permeability predictive model based on NMR data for sandstone reservoirs

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Abstract

Predicting permeability from nuclear magnetic resonance (NMR) logging data using SDR model and Coates model provides a quick and relatively reasonable value for reservoir permeability estimate. Critical to these two models is to find contributions of different level of pore structure to permeability, but pore structure in them is only divided into two levels. In this study, T2 distribution is divided into several segments corresponding to different level of pore structure, and every segment has its weighted characteristic value. By this way, we have considered contributions of more different level of pore structure to permeability and established a new permeability model. It has been tested in dozens of core samples. Compared with results of Coates model and SDR model, the new NMR model result is more consistent with the air permeability. So, we provide an improved permeability estimate for low permeability and tight sandstone reservoir.

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Acknowledgments

The authors wish to thank Petrochina for allowing us to publish the study. We would like to thank Changqing Oilfield for providing us core samples.

Funding

This work was supported by the Petrochina scientific research project: Far detecting acoustic logging processing method & Joint inversion research of dielectric scanner logging and NMR logging (No: kt2018-10-07).

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Authors and Affiliations

  1. School of Geosciences, China University of Petroleum, Qingdao, 266580, Shandong, People’s Republic of China

    Hongjun Xu & Yiren Fan

  2. PetroChina Research Institute of Petroleum Exploration and Development, Beijing, 100083, People’s Republic of China

    Hongjun Xu, Changxi Li, Falong Hu, Jun Yu, Changxue Wang & Chunmei Yang

  3. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266580, Shandong, People’s Republic of China

    Yiren Fan

  4. Exploration and Development Research Institute, Changqing Oilfield Company, Xi’an, 710018, Shanxi, People’s Republic of China

    Jinyu Zhou

Authors
  1. Hongjun Xu
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  2. Changxi Li
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  3. Yiren Fan
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  4. Falong Hu
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  5. Jun Yu
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  6. Jinyu Zhou
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  7. Changxue Wang
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  8. Chunmei Yang
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Correspondence to Hongjun Xu.

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Responsible Editor: Liang Xiao

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Xu, H., Li, C., Fan, Y. et al. A new permeability predictive model based on NMR data for sandstone reservoirs. Arab J Geosci 13, 1085 (2020). https://doi.org/10.1007/s12517-020-06055-6

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  • DOI: https://doi.org/10.1007/s12517-020-06055-6

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