Evaluating free gas in coal measure sandstones: a hybrid geophysical logging approach

Abstract Gas management in underground coal mining remains a critical challenge, particularly with respect to free compressed gas in sandstones within coal measures—a factor less considered in current mining practices. The free gas can quickly escape and migrate into the working face from the roof/floor, complicating its measurement and leading to additional specific gas emissions (SGE). This study proposes a hybrid method that uses geophysical logs to estimate free gas within these sandstone formations under constrained conditions. The method involves parameters derived from empirical models and calibrated with data-driven techniques, along with the 4 log-based indicators for gas presence; its effectiveness was demonstrated through the application in 4 boreholes at a case study coal mine, known for the occurrence of free gas within the sandstone formations. The gas indicators via empirical and analytical methods collectively filtered out 20–100% non-gassy zones on top of gas estimates, meanwhile providing uncertainties to account for the best and worst scenarios. The results suggest the second borehole (BH2) to be notably gassy (0.3–1.0 $${m}^{3}/t$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>m</mml:mi> </mml:mrow> <mml:mn>3</mml:mn> </mml:msup> <mml:mo>/</mml:mo> <mml:mi>t</mml:mi> </mml:mrow> </mml:math> at maximum) within its sandstone formations consistent with the general field observations in the area. This hybrid approach offers a valuable enhancement to gas content estimation, enabling a more detailed evaluation of coal measure sandstones, improving gas risk management, and enhancing SGE prediction accuracy for the mining industry.

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Publication Details

Journal
Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Published
2025-07-13
DOI
https://doi.org/10.1007/s40948-025-01005-6
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating free gas in coal measure sandstones: a hybrid geophysical logging approach

Guangyao Si, Andrew H.H Wong, Wenju Liu, Fuqiang Gao et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Hydrocarbon exploration and reservoir analysis
article

Evaluating free gas in coal measure sandstones: a hybrid geophysical logging approach

Guangyao Si, Andrew H.H Wong, Wenju Liu, Fuqiang Gao, Joung Oh, Zexin Yu, Zhentao Li, Xuebin Wu
article en

Abstract

Abstract Gas management in underground coal mining remains a critical challenge, particularly with respect to free compressed gas in sandstones within coal measures—a factor less considered in current mining practices. The free gas can quickly escape and migrate into the working face from the roof/floor, complicating its measurement and leading to additional specific gas emissions (SGE). This study proposes a hybrid method that uses geophysical logs to estimate free gas within these sandstone formations under constrained conditions. The method involves parameters derived from empirical models and calibrated with data-driven techniques, along with the 4 log-based indicators for gas presence; its effectiveness was demonstrated through the application in 4 boreholes at a case study coal mine, known for the occurrence of free gas within the sandstone formations. The gas indicators via empirical and analytical methods collectively filtered out 20–100% non-gassy zones on top of gas estimates, meanwhile providing uncertainties to account for the best and worst scenarios. The results suggest the second borehole (BH2) to be notably gassy (0.3–1.0 $${m}^{3}/t$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>m</mml:mi> </mml:mrow> <mml:mn>3</mml:mn> </mml:msup> <mml:mo>/</mml:mo> <mml:mi>t</mml:mi> </mml:mrow> </mml:math> at maximum) within its sandstone formations consistent with the general field observations in the area. This hybrid approach offers a valuable enhancement to gas content estimation, enabling a more detailed evaluation of coal measure sandstones, improving gas risk management, and enhancing SGE prediction accuracy for the mining industry.

Geomechanics and Geophysics for Geo-Energy and Geo-ResourcesVol. 11(1)
The University of Queensland (AU), UNSW Sydney (AU), China Coal Technology and Engineering Group Corp (China) (CN), China Coal Research Institute (China) (CN)
Australian Coal Research Limited, Australian Coal Industry’s Research Program, University of New South Wales, Australian Research Council
Openalex Percentile: Top 81%
Hydrocarbon exploration and reservoir analysis
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