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Related Experiment Video

Updated: Dec 10, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

Geologic data collection and assessment techniques in coal mining for ground control.

Mark Van Dyke¹, Ted Klemetti¹, Joe Wickline²

¹NIOSH, Pittsburgh, 15236 PA, USA.

International Journal of Mining Science and Technology

|September 3, 2020

Summary

Identifying and mitigating adverse geologic conditions in underground coal mines enhances safety and productivity. Establishing formal methods for geotechnical evaluation and data collection is crucial for effective hazard mapping and proactive mine planning.

Keywords:

Database Geology Hazards Mapping Roof contro

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Area of Science:

Geotechnical Engineering
Mining Geology
Earth Sciences

Background:

Adverse geologic conditions pose significant risks to underground coal mining safety and productivity.
Current approaches to identifying and mitigating these hazards are often mine-specific and lack standardization.
A formal, data-driven method is needed to systematically evaluate geotechnical factors.

Purpose of the Study:

To establish a formal method for evaluating geotechnical factors in underground coal mining.
To demonstrate the value of collecting and interpreting geologic information for hazard mapping.
To enhance safety and productivity through proactive mine planning and support.

Main Methods:

Collection of diverse geologic data, including lithology, seam height, faults, and stress directions.
Integration of collected data into a geological database for hazard mapping.
Development of maps illustrating the trend, orientation, and extent of adverse geologic conditions.

Main Results:

Geologic data collection and database integration enable efficient and effective hazard mapping.
Timely delivery of mapped geologic information allows for proactive mine planning.
The described methods have proven effective in predicting and mitigating adverse geologic conditions.

Conclusions:

Standardized data collection and interpretation methods improve the accuracy of adverse geologic condition predictions.
Continuous re-evaluation of methods ensures ongoing improvement in safety and productivity.
Effective geologic information management facilitates smoother operational transitions and knowledge transfer.