Numerical estimation of gas release and dispersion in coal mine using Ensemble Kalman Filter. (November 2018)
- Record Type:
- Journal Article
- Title:
- Numerical estimation of gas release and dispersion in coal mine using Ensemble Kalman Filter. (November 2018)
- Main Title:
- Numerical estimation of gas release and dispersion in coal mine using Ensemble Kalman Filter
- Authors:
- Wu, Jiansong
Yuan, Shuaiqi
Zhang, Can
Zhang, Xiaole - Abstract:
- Abstract: Gas release caused by drainage pipeline failure or abnormal gas effuse at mining area really threatens coalmine safety. The currently-used coalmine gas monitoring and control techniques have difficulty in effectively obtaining real-time gas concentration distribution and estimating gas emission rate in case of coalmine gas release accident. In this paper, a numerical model based on advection-diffusion equation combined with Ensemble Kalman Filter (EnKF) was proposed to estimate coalmine gas release and dispersion. The proposed model was validated by twin experiment, and the sensitivity analysis of first-guess gas release rate is conducted to further demonstrate the feasibility of the proposed model. The reasonable results indicate that the integration of advection-diffusion simulation and EnKF technique is an effective tool for predicting real-time methane concentration distribution and estimating gas emission rate in case of coalmine gas release accident, and also for optimizing the layout and number of methane detectors in coalmine roadway. This study could be helpful for providing technical supports for emergency response and loss prevention in case of coalmine gas release incident. Highlights: An EnKF-based model is proposed for estimating coalmine gas release and dispersion. The proposed model is validated by twin experiment with good feasibility. Reasonable layout and number of methane detectors are analyzed and determined.
- Is Part Of:
- Journal of loss prevention in the process industries. Volume 56(2018)
- Journal:
- Journal of loss prevention in the process industries
- Issue:
- Volume 56(2018)
- Issue Display:
- Volume 56, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 56
- Issue:
- 2018
- Issue Sort Value:
- 2018-0056-2018-0000
- Page Start:
- 57
- Page End:
- 67
- Publication Date:
- 2018-11
- Subjects:
- Coal mine -- Gas release accident -- Gas dispersion prediction -- Gas release rate estimation -- EnKF
Chemical industries -- Safety measures -- Periodicals
660.2804 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09504230/ ↗
http://www.journals.elsevier.com/journal-of-loss-prevention-in-the-process-industries/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jlp.2018.08.012 ↗
- Languages:
- English
- ISSNs:
- 0950-4230
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.562000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17996.xml