4.3 Article

Accurate characterization of coal pore and fissure structure based on CT 3D reconstruction and NMR

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ELSEVIER SCI LTD
DOI: 10.1016/j.jngse.2021.104242

关键词

NMR; CT 3D reconstruction; Pore size distribution; Porosity; Seepage characteristics; Accurate characterization

资金

  1. National Natural Science Foundation of China [51974176, 51574158, 51934004]
  2. Natural Science Outstanding Youth Foundation of Shandong Province [ZR2020JQ22]
  3. Major Program of Shandong Province Natural Science Foundation
  4. Special Funds for Taishan Scholars Project [TS20190935]
  5. Science and Technology Support Plan for Youth Innovation of Colleges and Universities in Shandong Province [2019KJH006]

向作者/读者索取更多资源

A comprehensive characterization method based on CT 3D reconstruction and NMR experiments was proposed to accurately characterize the pore and fissure structure of coal. The method successfully identified main seepage channels and micro seepage pores, providing insights into pore size distribution, porosity, and permeability. Combining the advantages of CT macro-scale observation and NMR micro-scale observation allowed for accurate porosity calculations and analysis of seepage characteristics.
In order to accurately achieve the full-scale characterization of coal pore and fissure structure, a comprehensive characterization method based on Computed Tomography (CT) 3D reconstruction, Nuclear Magnetic Resonance (NMR) T2 spectrum and Nuclear Magnetic Imaging (NMI) are proposed. CT scanning and NMR experiments are carried out on the samples of gas coal and anthracite to verify this method. And the characteristics of pore size distribution (PSD), porosity and permeability are studied. It is found that the main seepage channels can be obtained by CT 3D reconstruction, and that the observation defect of CT scanning can be compensated by NMI because micro seepage pores and adsorption pores can be visualized. Furthermore, CT 3D reconstruction results indicate that the larger the pore size, the smaller the number of pores, and the larger the porosity component while the NMR T2 spectrum of pore size distribution show that the porosity component of micro adsorption pores is largest. With the advantage of CT macro-scale observation and NMR micro-scale observation combined, porosities are calculated accurately. Besides, seepage characteristics observed in the NMR experiments under different water injection pressures are analyzed, and the results are consistent with the analysis results of the CT 3D reconstruction of coal connectivity.

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