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Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China

To better apply nuclear magnetic resonance (NMR) to evaluate the petrophysical characterization of high-rank coal, six anthracite samples from the Baijiao coal reservoir were measured by NMR. The porosity, T(2) cutoff value, permeability and pore type were analysed using the transverse relaxation ti...

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Autores principales: Zhang, Dongming, Chu, Yapei, Li, Shujian, Yang, Yushun, Bai, Xin, Ye, Chen, Wen, Decai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304127/
https://www.ncbi.nlm.nih.gov/pubmed/30662747
http://dx.doi.org/10.1098/rsos.181411
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author Zhang, Dongming
Chu, Yapei
Li, Shujian
Yang, Yushun
Bai, Xin
Ye, Chen
Wen, Decai
author_facet Zhang, Dongming
Chu, Yapei
Li, Shujian
Yang, Yushun
Bai, Xin
Ye, Chen
Wen, Decai
author_sort Zhang, Dongming
collection PubMed
description To better apply nuclear magnetic resonance (NMR) to evaluate the petrophysical characterization of high-rank coal, six anthracite samples from the Baijiao coal reservoir were measured by NMR. The porosity, T(2) cutoff value, permeability and pore type were analysed using the transverse relaxation time (T(2)) spectrum before and after centrifugation. The results show that the T(2) spectrum of water-saturated anthracite can be divided into a discontinuous and continuous trimodal distribution. According to the connectivity among pores, three T(2) spectrum peaks were identified at the relaxation times of 0.01–1.7 ms, 1.7–65 ms and greater than 65 ms, which correspond to the micropores (less than 100 nm), mesopores (100–1000 nm) and macropores (greater than 1000 nm), respectively. Based on the T(2) cutoff value, we divided the T(2) spectrum into two parts: bound fluid and free fluid. By comparing two classic permeability models, we proposed a permeability model to calculate the permeability of anthracite. This result demonstrates that NMR has great significance to the exploration of coal reservoirs and to the understanding of the development of coalbed methane.
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spelling pubmed-63041272019-01-18 Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China Zhang, Dongming Chu, Yapei Li, Shujian Yang, Yushun Bai, Xin Ye, Chen Wen, Decai R Soc Open Sci Chemistry To better apply nuclear magnetic resonance (NMR) to evaluate the petrophysical characterization of high-rank coal, six anthracite samples from the Baijiao coal reservoir were measured by NMR. The porosity, T(2) cutoff value, permeability and pore type were analysed using the transverse relaxation time (T(2)) spectrum before and after centrifugation. The results show that the T(2) spectrum of water-saturated anthracite can be divided into a discontinuous and continuous trimodal distribution. According to the connectivity among pores, three T(2) spectrum peaks were identified at the relaxation times of 0.01–1.7 ms, 1.7–65 ms and greater than 65 ms, which correspond to the micropores (less than 100 nm), mesopores (100–1000 nm) and macropores (greater than 1000 nm), respectively. Based on the T(2) cutoff value, we divided the T(2) spectrum into two parts: bound fluid and free fluid. By comparing two classic permeability models, we proposed a permeability model to calculate the permeability of anthracite. This result demonstrates that NMR has great significance to the exploration of coal reservoirs and to the understanding of the development of coalbed methane. The Royal Society 2018-12-12 /pmc/articles/PMC6304127/ /pubmed/30662747 http://dx.doi.org/10.1098/rsos.181411 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Chemistry
Zhang, Dongming
Chu, Yapei
Li, Shujian
Yang, Yushun
Bai, Xin
Ye, Chen
Wen, Decai
Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China
title Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China
title_full Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China
title_fullStr Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China
title_full_unstemmed Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China
title_short Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China
title_sort petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the baijiao coal reservoir, sw china
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304127/
https://www.ncbi.nlm.nih.gov/pubmed/30662747
http://dx.doi.org/10.1098/rsos.181411
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