Applications of nuclear magnetic resonance (NMR) logging in tight sandstone reservoir pore structure characterization

Abstract

Tight sandstone reservoir evaluation and characterization faced great challenge by using conventional well logging data due to the complicated pore structure. To improve tight sandstone reservoir identification, the pore structure should be first characterized. In this study, using the tight Chang 8 Formation of Pengyang Region, west Ordos Basin as an example, 20 core samples were drilled for laboratory nuclear magnetic resonance (NMR) and mercury injection capillary pressure (MICP) experiments. A model, which was used to construct capillary pressure (Pc) curves from NMR data, was proposed, and the corresponding models were established based on classified power function (CPF) method to classify formations into three types. Based on these relationships, the NMR T2 distributions were transformed as pseudo Pc curves and pore throat radius distributions. After these relationships were extended into field applications, consecutive pseudo Pc curves were acquired, and the pore structure evaluation parameters and permeability were also predicted. Comparisons of predicted parameters with core-derived results illustrated the reliability of our proposed model and method.

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Funding

This research was financially supported by the Major National Science and Technology Projects (2016ZX05050).

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Correspondence to Haopeng Guo.

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Responsible Editor: Santanu Banerjee

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Zhang, H., Li, G., Guo, H. et al. Applications of nuclear magnetic resonance (NMR) logging in tight sandstone reservoir pore structure characterization. Arab J Geosci 13, 572 (2020). https://doi.org/10.1007/s12517-020-05590-6

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Keywords

  • Tight sandstone reservoirs
  • Pore structure
  • Nuclear magnetic resonance (NMR) data
  • Mercury injection capillary pressure (MICP) curve