Pore Structure Multifractal Characteristics of Coal Reservoirs in the Central and Eastern Qinshui Basin and Influencing Factors
The heterogeneity of the pore structure of coal reservoirs affects the desorption and diffusion characteristics of coalbed methane, and determining its distribution law is conducive to improving the theory of coalbed methane development. The central and eastern parts of the Qinshui Basin are rich in...
Gespeichert in:
Veröffentlicht in: | Processes 2023-01, Vol.11 (1), p.286 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | 286 |
container_title | Processes |
container_volume | 11 |
creator | Duan, Chaochao Fu, Xuehai Deng, Ze Kang, Junqiang Zhang, Baoxin Lu, Jielin Hong, Xing Dai, Ruirui Li, Xiaogang |
description | The heterogeneity of the pore structure of coal reservoirs affects the desorption and diffusion characteristics of coalbed methane, and determining its distribution law is conducive to improving the theory of coalbed methane development. The central and eastern parts of the Qinshui Basin are rich in coalbed methane resources, but the heterogeneity characteristics of the pore structure of coal reservoirs are not clear. NMR has the advantages of being fast, non-destructive and full-scale, and multifractal can describe the self-similarity of NMR T2 curve at different scales so as to analyze the complexity of pore distribution. Based on this, 15 samples with different coal ranks were collected from the central and eastern Qinshui Basin (Ro,max between 1.54 and 2.78%), and quantitative pore characterization experiments such as low-field nuclear magnetic resonance (LF-NMR) and low-temperature liquid nitrogen adsorption (LTN2A) were conducted. Based on multifractal theory, the heterogeneity law of pore structure was quantitatively evaluated, and its influencing factors were elucidated. The results showed that the BJH pore volume of coal samples in the study area ranged from 0.0005–0.0028 cm3/g, with an average of 0.0014 cm3/g, and the BET specific surface area was 0.07–2.52 m2/g, with an average of 0.41 m2/g. The NMR T2 spectrum peaked at 0.1–1, 10–100 and 100–1000 ms, and the spectrum was mostly bimodal or trimodal, indicating that pores of different pore sizes were developed. There were great differences in the pore structure of different coal ranks; high-rank coal was dominated by micropores, and the proportion of mesopores and macropores of medium-rank coal was higher. The pore structure of coal samples showed obvious multifractal characteristics, and the fractal characteristics of the sparse region (low-value information) were more significant; they dominated the pore distribution and had a stronger influence on the distribution of pore space. Pore structure heterogeneity is closely related to the degree of coalification, and with the increase in coalification, it is closely related to coal lithotype and quality, and high mineral and inertinite contents lead to the enhancement of pore structure heterogeneity in coal reservoirs, while Ro,max, Mad and vitrinite group contents have opposite effects. The research results provide theoretical guidance for the subsequent exploration and development of coalbed methane in the region. |
doi_str_mv | 10.3390/pr11010286 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2767264270</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2767264270</sourcerecordid><originalsourceid>FETCH-LOGICAL-c254t-6bf246bc2bb7e5be360b5ceb0b5205997cbcef2ad32b1522672f71ba7fec14c03</originalsourceid><addsrcrecordid>eNpNUE1LAzEQDaJgqb34CwLehNUk-5HuUZdWCxW_z0uSTtyUNalJVvDkXzdLBZ3DzGPemzfwEDql5CLPa3K585QSSti8OkATxhjPak754T98jGYhbEmqmubzspqg7wfnAT9HP6g4JHQ39NFoL1QUPW46MSLwJkSjAnYaNy7tnyCA_3TGB2wsjh3gBmz0iRF2gxcipBOLH40N3WDwtQhJNTIrq_sBrDL2DS-TsfPhBB1p0QeY_c4pel0uXprbbH1_s2qu1pliZRGzSmpWVFIxKTmUEvKKyFKBTJ2Rsq65kgo0E5ucSVoyVnGmOZWCa1C0UCSforO97867jwFCbLdu8Da9bBlP6qpgfFSd71XKuxA86HbnzbvwXy0l7Zhx-5dx_gNJOHCZ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2767264270</pqid></control><display><type>article</type><title>Pore Structure Multifractal Characteristics of Coal Reservoirs in the Central and Eastern Qinshui Basin and Influencing Factors</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB Electronic Journals Library</source><creator>Duan, Chaochao ; Fu, Xuehai ; Deng, Ze ; Kang, Junqiang ; Zhang, Baoxin ; Lu, Jielin ; Hong, Xing ; Dai, Ruirui ; Li, Xiaogang</creator><creatorcontrib>Duan, Chaochao ; Fu, Xuehai ; Deng, Ze ; Kang, Junqiang ; Zhang, Baoxin ; Lu, Jielin ; Hong, Xing ; Dai, Ruirui ; Li, Xiaogang</creatorcontrib><description>The heterogeneity of the pore structure of coal reservoirs affects the desorption and diffusion characteristics of coalbed methane, and determining its distribution law is conducive to improving the theory of coalbed methane development. The central and eastern parts of the Qinshui Basin are rich in coalbed methane resources, but the heterogeneity characteristics of the pore structure of coal reservoirs are not clear. NMR has the advantages of being fast, non-destructive and full-scale, and multifractal can describe the self-similarity of NMR T2 curve at different scales so as to analyze the complexity of pore distribution. Based on this, 15 samples with different coal ranks were collected from the central and eastern Qinshui Basin (Ro,max between 1.54 and 2.78%), and quantitative pore characterization experiments such as low-field nuclear magnetic resonance (LF-NMR) and low-temperature liquid nitrogen adsorption (LTN2A) were conducted. Based on multifractal theory, the heterogeneity law of pore structure was quantitatively evaluated, and its influencing factors were elucidated. The results showed that the BJH pore volume of coal samples in the study area ranged from 0.0005–0.0028 cm3/g, with an average of 0.0014 cm3/g, and the BET specific surface area was 0.07–2.52 m2/g, with an average of 0.41 m2/g. The NMR T2 spectrum peaked at 0.1–1, 10–100 and 100–1000 ms, and the spectrum was mostly bimodal or trimodal, indicating that pores of different pore sizes were developed. There were great differences in the pore structure of different coal ranks; high-rank coal was dominated by micropores, and the proportion of mesopores and macropores of medium-rank coal was higher. The pore structure of coal samples showed obvious multifractal characteristics, and the fractal characteristics of the sparse region (low-value information) were more significant; they dominated the pore distribution and had a stronger influence on the distribution of pore space. Pore structure heterogeneity is closely related to the degree of coalification, and with the increase in coalification, it is closely related to coal lithotype and quality, and high mineral and inertinite contents lead to the enhancement of pore structure heterogeneity in coal reservoirs, while Ro,max, Mad and vitrinite group contents have opposite effects. The research results provide theoretical guidance for the subsequent exploration and development of coalbed methane in the region.</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr11010286</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Adsorption ; Coal ; Coalbed methane ; Experiments ; Fractals ; Heterogeneity ; Laboratories ; Liquid nitrogen ; Low temperature ; Magnetic fields ; Methane ; Mines ; Nitrogen ; NMR ; Nuclear magnetic resonance ; Pore size ; Reservoirs ; Self-similarity ; Test methods</subject><ispartof>Processes, 2023-01, Vol.11 (1), p.286</ispartof><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c254t-6bf246bc2bb7e5be360b5ceb0b5205997cbcef2ad32b1522672f71ba7fec14c03</cites><orcidid>0000-0001-9574-6056</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Duan, Chaochao</creatorcontrib><creatorcontrib>Fu, Xuehai</creatorcontrib><creatorcontrib>Deng, Ze</creatorcontrib><creatorcontrib>Kang, Junqiang</creatorcontrib><creatorcontrib>Zhang, Baoxin</creatorcontrib><creatorcontrib>Lu, Jielin</creatorcontrib><creatorcontrib>Hong, Xing</creatorcontrib><creatorcontrib>Dai, Ruirui</creatorcontrib><creatorcontrib>Li, Xiaogang</creatorcontrib><title>Pore Structure Multifractal Characteristics of Coal Reservoirs in the Central and Eastern Qinshui Basin and Influencing Factors</title><title>Processes</title><description>The heterogeneity of the pore structure of coal reservoirs affects the desorption and diffusion characteristics of coalbed methane, and determining its distribution law is conducive to improving the theory of coalbed methane development. The central and eastern parts of the Qinshui Basin are rich in coalbed methane resources, but the heterogeneity characteristics of the pore structure of coal reservoirs are not clear. NMR has the advantages of being fast, non-destructive and full-scale, and multifractal can describe the self-similarity of NMR T2 curve at different scales so as to analyze the complexity of pore distribution. Based on this, 15 samples with different coal ranks were collected from the central and eastern Qinshui Basin (Ro,max between 1.54 and 2.78%), and quantitative pore characterization experiments such as low-field nuclear magnetic resonance (LF-NMR) and low-temperature liquid nitrogen adsorption (LTN2A) were conducted. Based on multifractal theory, the heterogeneity law of pore structure was quantitatively evaluated, and its influencing factors were elucidated. The results showed that the BJH pore volume of coal samples in the study area ranged from 0.0005–0.0028 cm3/g, with an average of 0.0014 cm3/g, and the BET specific surface area was 0.07–2.52 m2/g, with an average of 0.41 m2/g. The NMR T2 spectrum peaked at 0.1–1, 10–100 and 100–1000 ms, and the spectrum was mostly bimodal or trimodal, indicating that pores of different pore sizes were developed. There were great differences in the pore structure of different coal ranks; high-rank coal was dominated by micropores, and the proportion of mesopores and macropores of medium-rank coal was higher. The pore structure of coal samples showed obvious multifractal characteristics, and the fractal characteristics of the sparse region (low-value information) were more significant; they dominated the pore distribution and had a stronger influence on the distribution of pore space. Pore structure heterogeneity is closely related to the degree of coalification, and with the increase in coalification, it is closely related to coal lithotype and quality, and high mineral and inertinite contents lead to the enhancement of pore structure heterogeneity in coal reservoirs, while Ro,max, Mad and vitrinite group contents have opposite effects. The research results provide theoretical guidance for the subsequent exploration and development of coalbed methane in the region.</description><subject>Adsorption</subject><subject>Coal</subject><subject>Coalbed methane</subject><subject>Experiments</subject><subject>Fractals</subject><subject>Heterogeneity</subject><subject>Laboratories</subject><subject>Liquid nitrogen</subject><subject>Low temperature</subject><subject>Magnetic fields</subject><subject>Methane</subject><subject>Mines</subject><subject>Nitrogen</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Pore size</subject><subject>Reservoirs</subject><subject>Self-similarity</subject><subject>Test methods</subject><issn>2227-9717</issn><issn>2227-9717</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNUE1LAzEQDaJgqb34CwLehNUk-5HuUZdWCxW_z0uSTtyUNalJVvDkXzdLBZ3DzGPemzfwEDql5CLPa3K585QSSti8OkATxhjPak754T98jGYhbEmqmubzspqg7wfnAT9HP6g4JHQ39NFoL1QUPW46MSLwJkSjAnYaNy7tnyCA_3TGB2wsjh3gBmz0iRF2gxcipBOLH40N3WDwtQhJNTIrq_sBrDL2DS-TsfPhBB1p0QeY_c4pel0uXprbbH1_s2qu1pliZRGzSmpWVFIxKTmUEvKKyFKBTJ2Rsq65kgo0E5ucSVoyVnGmOZWCa1C0UCSforO97867jwFCbLdu8Da9bBlP6qpgfFSd71XKuxA86HbnzbvwXy0l7Zhx-5dx_gNJOHCZ</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Duan, Chaochao</creator><creator>Fu, Xuehai</creator><creator>Deng, Ze</creator><creator>Kang, Junqiang</creator><creator>Zhang, Baoxin</creator><creator>Lu, Jielin</creator><creator>Hong, Xing</creator><creator>Dai, Ruirui</creator><creator>Li, Xiaogang</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>LK8</scope><scope>M7P</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-9574-6056</orcidid></search><sort><creationdate>20230101</creationdate><title>Pore Structure Multifractal Characteristics of Coal Reservoirs in the Central and Eastern Qinshui Basin and Influencing Factors</title><author>Duan, Chaochao ; Fu, Xuehai ; Deng, Ze ; Kang, Junqiang ; Zhang, Baoxin ; Lu, Jielin ; Hong, Xing ; Dai, Ruirui ; Li, Xiaogang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c254t-6bf246bc2bb7e5be360b5ceb0b5205997cbcef2ad32b1522672f71ba7fec14c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adsorption</topic><topic>Coal</topic><topic>Coalbed methane</topic><topic>Experiments</topic><topic>Fractals</topic><topic>Heterogeneity</topic><topic>Laboratories</topic><topic>Liquid nitrogen</topic><topic>Low temperature</topic><topic>Magnetic fields</topic><topic>Methane</topic><topic>Mines</topic><topic>Nitrogen</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Pore size</topic><topic>Reservoirs</topic><topic>Self-similarity</topic><topic>Test methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duan, Chaochao</creatorcontrib><creatorcontrib>Fu, Xuehai</creatorcontrib><creatorcontrib>Deng, Ze</creatorcontrib><creatorcontrib>Kang, Junqiang</creatorcontrib><creatorcontrib>Zhang, Baoxin</creatorcontrib><creatorcontrib>Lu, Jielin</creatorcontrib><creatorcontrib>Hong, Xing</creatorcontrib><creatorcontrib>Dai, Ruirui</creatorcontrib><creatorcontrib>Li, Xiaogang</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>https://resources.nclive.org/materials</collection><collection>Biological Sciences</collection><collection>Biological Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duan, Chaochao</au><au>Fu, Xuehai</au><au>Deng, Ze</au><au>Kang, Junqiang</au><au>Zhang, Baoxin</au><au>Lu, Jielin</au><au>Hong, Xing</au><au>Dai, Ruirui</au><au>Li, Xiaogang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pore Structure Multifractal Characteristics of Coal Reservoirs in the Central and Eastern Qinshui Basin and Influencing Factors</atitle><jtitle>Processes</jtitle><date>2023-01-01</date><risdate>2023</risdate><volume>11</volume><issue>1</issue><spage>286</spage><pages>286-</pages><issn>2227-9717</issn><eissn>2227-9717</eissn><abstract>The heterogeneity of the pore structure of coal reservoirs affects the desorption and diffusion characteristics of coalbed methane, and determining its distribution law is conducive to improving the theory of coalbed methane development. The central and eastern parts of the Qinshui Basin are rich in coalbed methane resources, but the heterogeneity characteristics of the pore structure of coal reservoirs are not clear. NMR has the advantages of being fast, non-destructive and full-scale, and multifractal can describe the self-similarity of NMR T2 curve at different scales so as to analyze the complexity of pore distribution. Based on this, 15 samples with different coal ranks were collected from the central and eastern Qinshui Basin (Ro,max between 1.54 and 2.78%), and quantitative pore characterization experiments such as low-field nuclear magnetic resonance (LF-NMR) and low-temperature liquid nitrogen adsorption (LTN2A) were conducted. Based on multifractal theory, the heterogeneity law of pore structure was quantitatively evaluated, and its influencing factors were elucidated. The results showed that the BJH pore volume of coal samples in the study area ranged from 0.0005–0.0028 cm3/g, with an average of 0.0014 cm3/g, and the BET specific surface area was 0.07–2.52 m2/g, with an average of 0.41 m2/g. The NMR T2 spectrum peaked at 0.1–1, 10–100 and 100–1000 ms, and the spectrum was mostly bimodal or trimodal, indicating that pores of different pore sizes were developed. There were great differences in the pore structure of different coal ranks; high-rank coal was dominated by micropores, and the proportion of mesopores and macropores of medium-rank coal was higher. The pore structure of coal samples showed obvious multifractal characteristics, and the fractal characteristics of the sparse region (low-value information) were more significant; they dominated the pore distribution and had a stronger influence on the distribution of pore space. Pore structure heterogeneity is closely related to the degree of coalification, and with the increase in coalification, it is closely related to coal lithotype and quality, and high mineral and inertinite contents lead to the enhancement of pore structure heterogeneity in coal reservoirs, while Ro,max, Mad and vitrinite group contents have opposite effects. The research results provide theoretical guidance for the subsequent exploration and development of coalbed methane in the region.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/pr11010286</doi><orcidid>https://orcid.org/0000-0001-9574-6056</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2227-9717 |
ispartof | Processes, 2023-01, Vol.11 (1), p.286 |
issn | 2227-9717 2227-9717 |
language | eng |
recordid | cdi_proquest_journals_2767264270 |
source | MDPI - Multidisciplinary Digital Publishing Institute; EZB Electronic Journals Library |
subjects | Adsorption Coal Coalbed methane Experiments Fractals Heterogeneity Laboratories Liquid nitrogen Low temperature Magnetic fields Methane Mines Nitrogen NMR Nuclear magnetic resonance Pore size Reservoirs Self-similarity Test methods |
title | Pore Structure Multifractal Characteristics of Coal Reservoirs in the Central and Eastern Qinshui Basin and Influencing Factors |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T19%3A25%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Pore%20Structure%20Multifractal%20Characteristics%20of%20Coal%20Reservoirs%20in%20the%20Central%20and%20Eastern%20Qinshui%20Basin%20and%20Influencing%20Factors&rft.jtitle=Processes&rft.au=Duan,%20Chaochao&rft.date=2023-01-01&rft.volume=11&rft.issue=1&rft.spage=286&rft.pages=286-&rft.issn=2227-9717&rft.eissn=2227-9717&rft_id=info:doi/10.3390/pr11010286&rft_dat=%3Cproquest_cross%3E2767264270%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2767264270&rft_id=info:pmid/&rfr_iscdi=true |