Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783382292248395776 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6304127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhangdongming petrophysicalcharacterizationofhighrankcoalbynuclearmagneticresonanceacasestudyofthebaijiaocoalreservoirswchina AT chuyapei petrophysicalcharacterizationofhighrankcoalbynuclearmagneticresonanceacasestudyofthebaijiaocoalreservoirswchina AT lishujian petrophysicalcharacterizationofhighrankcoalbynuclearmagneticresonanceacasestudyofthebaijiaocoalreservoirswchina AT yangyushun petrophysicalcharacterizationofhighrankcoalbynuclearmagneticresonanceacasestudyofthebaijiaocoalreservoirswchina AT baixin petrophysicalcharacterizationofhighrankcoalbynuclearmagneticresonanceacasestudyofthebaijiaocoalreservoirswchina AT yechen petrophysicalcharacterizationofhighrankcoalbynuclearmagneticresonanceacasestudyofthebaijiaocoalreservoirswchina AT wendecai petrophysicalcharacterizationofhighrankcoalbynuclearmagneticresonanceacasestudyofthebaijiaocoalreservoirswchina |