View in EDS HTML Full Text PDF Full Text

Porosity Optimization Model to Characterize Gas Seepage Behavior in Longwall Mining Gobs: An Application Case and Simulation Analysis.

Saved in:
Bibliographic Details
Title: Porosity Optimization Model to Characterize Gas Seepage Behavior in Longwall Mining Gobs: An Application Case and Simulation Analysis.
Authors: Song, Yipeng1 (AUTHOR) 202214024@sdtbu.edu.cn, Wang, Zhongshan2 (AUTHOR), Qin, Yueping3 (AUTHOR)
Source: Energy Science & Engineering. Sep2025, Vol. 13 Issue 9, p4566-4585. 20p.
Subject Terms: *Porosity, *Longwall mining, *Hydraulic conductivity, *Gas seepage, *Coal mining, *Porous materials
Abstract: The degree of fragmentation of coal rock determines the porosity distribution of goaf porous media, which can be expressed using empirical formulas. However, this method fails in regions with nonuniform caving, dynamic disturbances, or deep high‐stress conditions. Therefore, this study developed a porosity optimization model comprising A and B values. The A value represents the upper limit threshold of the porosity and is related to the total air volume that leaked into the gob, and the B value is related to the distribution pattern of the collapsed coal rocks and determines the migration path of airflow. Based on this, the permeability coefficient of Yangchangwan Coal Mine was determined through an inversion calculation, and the evolution laws of multi‐physical fields under different seepage environments were explored. The results indicate that the air leakage velocity variation is approximately S‐shaped in the working face inclination direction. The temperature rise in gobs was primarily influenced by the advance rate and residual coal thickness. Thus, the mining rate should be increased as much as possible, and leak prevention measures should be employed to prevent spontaneous combustion fires. This study provides a more accurate and practical method for evaluating the porosity distribution in fracture zones. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 187949079
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Porosity Optimization Model to Characterize Gas Seepage Behavior in Longwall Mining Gobs: An Application Case and Simulation Analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Song%2C+Yipeng%22">Song, Yipeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 202214024@sdtbu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Zhongshan%22">Wang, Zhongshan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qin%2C+Yueping%22">Qin, Yueping</searchLink><relatesTo>3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Sep2025, Vol. 13 Issue 9, p4566-4585. 20p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Porosity%22">Porosity</searchLink><br />*<searchLink fieldCode="DE" term="%22Longwall+mining%22">Longwall mining</searchLink><br />*<searchLink fieldCode="DE" term="%22Hydraulic+conductivity%22">Hydraulic conductivity</searchLink><br />*<searchLink fieldCode="DE" term="%22Gas+seepage%22">Gas seepage</searchLink><br />*<searchLink fieldCode="DE" term="%22Coal+mining%22">Coal mining</searchLink><br />*<searchLink fieldCode="DE" term="%22Porous+materials%22">Porous materials</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The degree of fragmentation of coal rock determines the porosity distribution of goaf porous media, which can be expressed using empirical formulas. However, this method fails in regions with nonuniform caving, dynamic disturbances, or deep high‐stress conditions. Therefore, this study developed a porosity optimization model comprising A and B values. The A value represents the upper limit threshold of the porosity and is related to the total air volume that leaked into the gob, and the B value is related to the distribution pattern of the collapsed coal rocks and determines the migration path of airflow. Based on this, the permeability coefficient of Yangchangwan Coal Mine was determined through an inversion calculation, and the evolution laws of multi‐physical fields under different seepage environments were explored. The results indicate that the air leakage velocity variation is approximately S‐shaped in the working face inclination direction. The temperature rise in gobs was primarily influenced by the advance rate and residual coal thickness. Thus, the mining rate should be increased as much as possible, and leak prevention measures should be employed to prevent spontaneous combustion fires. This study provides a more accurate and practical method for evaluating the porosity distribution in fracture zones. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=187949079
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/ese3.70196
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 4566
    Subjects:
      – SubjectFull: Porosity
        Type: general
      – SubjectFull: Longwall mining
        Type: general
      – SubjectFull: Hydraulic conductivity
        Type: general
      – SubjectFull: Gas seepage
        Type: general
      – SubjectFull: Coal mining
        Type: general
      – SubjectFull: Porous materials
        Type: general
    Titles:
      – TitleFull: Porosity Optimization Model to Characterize Gas Seepage Behavior in Longwall Mining Gobs: An Application Case and Simulation Analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Song, Yipeng
      – PersonEntity:
          Name:
            NameFull: Wang, Zhongshan
      – PersonEntity:
          Name:
            NameFull: Qin, Yueping
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 20500505
          Numbering:
            – Type: volume
              Value: 13
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Energy Science & Engineering
              Type: main
ResultId 1