INVESTIGATING RELATIONSHIPS BETWEEN METHANE EMISSIONS AND ATMOSPHERIC DATA IN UNDERGROUND COAL MINES TO DEVELOP A FORECASTING MODEL

J. Diaz, Z. Agioutantis, S. Schafrik, D. T. Hristopulos, K. Luxbacher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Big data is generated from both surface and underground mining operations. Such data contain a wealth of information concerning safety and health in the workplace and production parameters. This paper will discuss the progress towards developing an accurate forecasting model for methane gas concentration based on the analysis of data collected from Atmospheric Monitoring Systems in underground coal mines employing time series models. Several procedures need to be applied to raw data, such as data cleaning and filtering for outlier removal, data homogenization and segmentation, and exploratory statistical analysis. The data analyzed were retrieved from two coal operations in the Eastern US. A negative correlation between barometric pressure and methane gas concentration was established, at least for certain data segments. Such correlations raise the possibility that barometric pressure data can predict variations of gas concentration in the mine. The datasets will be further investigated to establish the robustness of barometric pressure and gas concentration correlation and explore the dependence of gas concentration on other factors related to mine design and operations.

Original languageEnglish
Title of host publicationSME Annual Conference and Expo 2022
Pages124-128
Number of pages5
ISBN (Electronic)9781713845089
StatePublished - 2022
EventSME Annual Conference and Expo 2022 - Salt Lake City, United States
Duration: Feb 27 2022Mar 2 2022

Publication series

NameSME Annual Conference and Expo 2022

Conference

ConferenceSME Annual Conference and Expo 2022
Country/TerritoryUnited States
CitySalt Lake City
Period2/27/223/2/22

Bibliographical note

Funding Information:
This study was sponsored by the Alpha Foundation for the Improvement of Mine Safety and Health, Inc. (ALPHA FOUNDATION), contract number AFCTG20-103. The views, opinions, and recommendations expressed herein are solely those of the authors and do not imply any endorsement by the ALPHA FOUNDATION, its Directors, and staff.

Publisher Copyright:
Copyright © 2022 by SME.

Keywords

  • Atmospheric Monitoring Systems
  • Big data
  • methane forecasting

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology

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