4.5 Article

Insights into Multifractal Characterization of Coals by Mercury Intrusion Porosimetry

期刊

ENERGIES
卷 12, 期 24, 页码 -

出版社

MDPI
DOI: 10.3390/en12244743

关键词

coalbed methane (CBM); multifractal analysis; pore size distribution (PSD); low-temperature N-2 adsorption (LTNA); heterogeneity

资金

  1. National Natural Science Foundation of China [41830427, 41872123]
  2. National Major Research Program for Science and Technology of China [2016ZX05043-001]
  3. Key research and development project of Xinjiang Uygur Autonomous Region [2017B03019-1]
  4. Fundamental Research Funds for the Central Universities [292018227]

向作者/读者索取更多资源

Mercury intrusion porosimetry (MIP) as a practical and effective measurement has been widely used in characterizing the pore size distribution (PSD) for unconventional reservoirs (e.g., coals and shales). However, in the process of MIP experiments, the high mercury intrusion pressure may cause matrix compressibility and result in inaccurate estimations of PSD. To get a deeper understanding of the variability and heterogeneity characteristics of the actual PSD in coals, this study firstly corrected the high mercury intrusion pressure data in combination with low-temperature N-2 adsorption (LTNA) data. The results show that the matrix compressibility was obvious under the pressure over 24.75 MPa, and the calculated matrix compressibility coefficients of bituminous and anthracite coals range from 0.82 to 2.47 x 10(-10) m(2)/N. Then, multifractal analysis was introduced to evaluate the heterogeneity characteristics of coals based on the corrected MIP data. The multifractal dimension D-min is positively correlated with vitrinite content, but negatively correlated with inertinite content and mercury intrusion saturation. The multifractal dimension D-max shows negative relationships with moisture and ash content, and it also emerges as a U-shaped trend with efficiency of mercury withdrawal. It is concluded that multifractal analysis can be served as a practical method not only for evaluating the heterogeneity of coal PSDs, but also for other unconventional reservoirs (e.g., shale and tight sandstone).

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