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Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams.

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Title: Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams.
Authors: Guo, Haijun1,2 (AUTHOR), Xi, Xi1 (AUTHOR), Wang, Kai1 (AUTHOR), Wang, Liang2 (AUTHOR) liangw1982@126.com, Li, Yulin3 (AUTHOR)
Source: Energy Science & Engineering. Jun2026, Vol. 14 Issue 6, p2772-2784. 13p.
Subject Terms: *Coal mining safety, *Sensitivity analysis, *Risk assessment, *Coalbed methane, *Gas absorption & adsorption
Abstract: The prediction of coal and gas outburst risk is a critical first step in preventing and controlling gas‐related accidents. To evaluate the sensitivity of outburst risk prediction indexes in raw and tectonic composite coal seams, both regional and local indexes for the No. 3 coal seam in the Daning Coal Mine were analyzed. Results indicate that tectonic coal exhibits higher initial gas desorption capacity and faster desorption rates than those of raw coal, resulting in a greater risk of coal and gas outbursts in tectonic coal seams. Among the regional outburst risk prediction indexes for the raw and tectonic composite coal seams, gas content was found to be more sensitive than gas pressure. A gas content of 8.00 m3/ton is identified as a safer critical threshold for the No. 3 coal seam. For local outburst risk prediction indexes, a comparison of gas desorption characteristics and index values under consistent laboratory‐determined pressure conditions reveals that the drilling cuttings gas desorption index K1 exhibits lower determination error and higher sensitivity than Δh2, enabling more accurate prediction of coal and gas outburst risk. Furthermore, a K1 value of 0.46 mL/(g·min0.5) is identified as a safer critical threshold for the No. 3 coal seam. These findings provide a crucial theoretical foundation for guiding the prevention and control of coal and gas outbursts and can inform process engineering design and coal mine safety practices. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194418744
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams.
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  Data: <searchLink fieldCode="AR" term="%22Guo%2C+Haijun%22">Guo, Haijun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xi%2C+Xi%22">Xi, Xi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Kai%22">Wang, Kai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Liang%22">Wang, Liang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> liangw1982@126.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Yulin%22">Li, Yulin</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Jun2026, Vol. 14 Issue 6, p2772-2784. 13p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Coal+mining+safety%22">Coal mining safety</searchLink><br />*<searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br />*<searchLink fieldCode="DE" term="%22Coalbed+methane%22">Coalbed methane</searchLink><br />*<searchLink fieldCode="DE" term="%22Gas+absorption+%26+adsorption%22">Gas absorption & adsorption</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The prediction of coal and gas outburst risk is a critical first step in preventing and controlling gas‐related accidents. To evaluate the sensitivity of outburst risk prediction indexes in raw and tectonic composite coal seams, both regional and local indexes for the No. 3 coal seam in the Daning Coal Mine were analyzed. Results indicate that tectonic coal exhibits higher initial gas desorption capacity and faster desorption rates than those of raw coal, resulting in a greater risk of coal and gas outbursts in tectonic coal seams. Among the regional outburst risk prediction indexes for the raw and tectonic composite coal seams, gas content was found to be more sensitive than gas pressure. A gas content of 8.00 m3/ton is identified as a safer critical threshold for the No. 3 coal seam. For local outburst risk prediction indexes, a comparison of gas desorption characteristics and index values under consistent laboratory‐determined pressure conditions reveals that the drilling cuttings gas desorption index K1 exhibits lower determination error and higher sensitivity than Δh2, enabling more accurate prediction of coal and gas outburst risk. Furthermore, a K1 value of 0.46 mL/(g·min0.5) is identified as a safer critical threshold for the No. 3 coal seam. These findings provide a crucial theoretical foundation for guiding the prevention and control of coal and gas outbursts and can inform process engineering design and coal mine safety practices. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/ese3.70505
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 2772
    Subjects:
      – SubjectFull: Coal mining safety
        Type: general
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Coalbed methane
        Type: general
      – SubjectFull: Gas absorption & adsorption
        Type: general
    Titles:
      – TitleFull: Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams.
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            NameFull: Guo, Haijun
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            NameFull: Xi, Xi
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            NameFull: Wang, Kai
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            NameFull: Wang, Liang
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            NameFull: Li, Yulin
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 20500505
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              Value: 14
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Energy Science & Engineering
              Type: main
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