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Review on the Application of Low-Field Nuclear Magnetic Resonance Technology in Coalbed Methane Production Simulation

[Image: see text] Low-field nuclear magnetic resonance has become one of the main methods to characterize static parameters and dynamic changes in unconventional reservoirs. The research focus of this paper is process simulation of coalbed methane (CBM) production. The dynamic variation of pore volu...

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Autores principales: Zhang, Junjian, Chu, Xuanxuan, Wei, Chongtao, Zhang, Pengfei, Zou, Mingjun, Wang, Boyang, Quan, Fangkai, Ju, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352340/
https://www.ncbi.nlm.nih.gov/pubmed/35936489
http://dx.doi.org/10.1021/acsomega.2c02112
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author Zhang, Junjian
Chu, Xuanxuan
Wei, Chongtao
Zhang, Pengfei
Zou, Mingjun
Wang, Boyang
Quan, Fangkai
Ju, Wei
author_facet Zhang, Junjian
Chu, Xuanxuan
Wei, Chongtao
Zhang, Pengfei
Zou, Mingjun
Wang, Boyang
Quan, Fangkai
Ju, Wei
author_sort Zhang, Junjian
collection PubMed
description [Image: see text] Low-field nuclear magnetic resonance has become one of the main methods to characterize static parameters and dynamic changes in unconventional reservoirs. The research focus of this paper is process simulation of coalbed methane (CBM) production. The dynamic variation of pore volume with different pore sizes during pressure drop, methane desorption–diffusion process, and methane–water interaction during migration is discussed. Moreover, the calculation principles of NMR single and multifractal models are systematically described, and the applicability of NMR fractal models within different research contexts is discussed. Four aspects need urgent attention in the application of this technology in CBM production: (1) overburden NMR technology has limitations in characterizing the stress sensitivity of shale and high-rank coal reservoirs with micropores developed, and we should aim to enable an accurate description of micropore pore stress sensitivity; (2) dynamic NMR physical simulation of reservoir gas and water production based on in-situ and actual geological development conditions should become one of the key aspects of follow-up research; (3) low-temperature freeze–thaw NMR technology, as a new pore–fracture characterization method, needs to be further applied in characterizing the distribution characteristics of pores and fractures; and (4) NMR fractal model should be used as the main theoretical method to expand the simulation results. The applicability of different fractal models in characterizing pore–fracture structure (static) and CBM production process (dynamic) needs to be clarified.
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spelling pubmed-93523402022-08-05 Review on the Application of Low-Field Nuclear Magnetic Resonance Technology in Coalbed Methane Production Simulation Zhang, Junjian Chu, Xuanxuan Wei, Chongtao Zhang, Pengfei Zou, Mingjun Wang, Boyang Quan, Fangkai Ju, Wei ACS Omega [Image: see text] Low-field nuclear magnetic resonance has become one of the main methods to characterize static parameters and dynamic changes in unconventional reservoirs. The research focus of this paper is process simulation of coalbed methane (CBM) production. The dynamic variation of pore volume with different pore sizes during pressure drop, methane desorption–diffusion process, and methane–water interaction during migration is discussed. Moreover, the calculation principles of NMR single and multifractal models are systematically described, and the applicability of NMR fractal models within different research contexts is discussed. Four aspects need urgent attention in the application of this technology in CBM production: (1) overburden NMR technology has limitations in characterizing the stress sensitivity of shale and high-rank coal reservoirs with micropores developed, and we should aim to enable an accurate description of micropore pore stress sensitivity; (2) dynamic NMR physical simulation of reservoir gas and water production based on in-situ and actual geological development conditions should become one of the key aspects of follow-up research; (3) low-temperature freeze–thaw NMR technology, as a new pore–fracture characterization method, needs to be further applied in characterizing the distribution characteristics of pores and fractures; and (4) NMR fractal model should be used as the main theoretical method to expand the simulation results. The applicability of different fractal models in characterizing pore–fracture structure (static) and CBM production process (dynamic) needs to be clarified. American Chemical Society 2022-07-20 /pmc/articles/PMC9352340/ /pubmed/35936489 http://dx.doi.org/10.1021/acsomega.2c02112 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Zhang, Junjian
Chu, Xuanxuan
Wei, Chongtao
Zhang, Pengfei
Zou, Mingjun
Wang, Boyang
Quan, Fangkai
Ju, Wei
Review on the Application of Low-Field Nuclear Magnetic Resonance Technology in Coalbed Methane Production Simulation
title Review on the Application of Low-Field Nuclear Magnetic Resonance Technology in Coalbed Methane Production Simulation
title_full Review on the Application of Low-Field Nuclear Magnetic Resonance Technology in Coalbed Methane Production Simulation
title_fullStr Review on the Application of Low-Field Nuclear Magnetic Resonance Technology in Coalbed Methane Production Simulation
title_full_unstemmed Review on the Application of Low-Field Nuclear Magnetic Resonance Technology in Coalbed Methane Production Simulation
title_short Review on the Application of Low-Field Nuclear Magnetic Resonance Technology in Coalbed Methane Production Simulation
title_sort review on the application of low-field nuclear magnetic resonance technology in coalbed methane production simulation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352340/
https://www.ncbi.nlm.nih.gov/pubmed/35936489
http://dx.doi.org/10.1021/acsomega.2c02112
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