Journal
FUEL
Volume 95, Issue 1, Pages 152-158Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2011.12.039
Keywords
Coal porosity; Pore size distribution; Nuclear magnetic resonance (NMR); Mercury intrusion porosimetry
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Funding
- National Natural Science Foundation of China [41102099]
- National Major Research Program for Science and Technology of China [2011ZX05034-001]
- Program for New Century Excellent Talents in University
- Research Program for Topping PhD thesis Supervisor of Beijing [YB20101141501]
- PetroChina Innovation Foundation [2010D-5006-0101]
- Fundamental Research Funds for the Central Universities
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In this study we investigated how traditional mercury intrusion porosimetry (MIP), constant-ratecontrolled mercury porosimetry (CMP), Low-field NMR spectral analysis (LFNMR), and micro focus computerized tomography (mu CT) compare in revealing the pore size distribution (PSD) characteristics of coals. The comparison was made using the same source samples throughout. Two limitations of mercury porosimetry are addressed. First, the high-pressure intrusion by mercury may either deform or destroy the coal sample and eventually induce suspect value of coal porosity, thus correction of pore structure compressibility must be made in analyzing lignite or other coals that with very open structure. Second, pore shielding effects can induce high uncertainty of MIP results, in particular when clusters of smaller pores occur in isolated domains in a continuous network of larger pores. This can result in temporary mercury entrapment during the extrusion process and result in inaccurate estimations of PSD. Another pore shielding effect is due to isolated clusters of large pores in a continuous network of smaller pores. Her mercury is prone to be trapped permanently. This effect can induce inaccurate estimations of the total pore volume. CMP is an effective method that can provide much more detailed PSD information of macropores, however it is deficient in analyzing mesopores of coals. After comparison with the results by mu CT and other traditional methods, it was found that LFNMR is an efficient tool for nondestructively quantifying the PSD of coal. (C) 2011 Elsevier Ltd. All rights reserved.
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