Articles | Volume 58
https://doi.org/10.5194/adgeo-58-93-2022
https://doi.org/10.5194/adgeo-58-93-2022
08 Dec 2022
 | 08 Dec 2022

Numerical investigations to assess ground subsidence and fault reactivation during underground coal gasification

Mansour Hedayatzadeh, Vasilis Sarhosis, Torsten Gorka, Mária Hámor-Vidó, and István Kalmár

Related authors

Environmental hazard quantification toolkit based on modular numerical simulations
Morgan Tranter, Svenja Steding, Christopher Otto, Konstantina Pyrgaki, Mansour Hedayatzadeh, Vasilis Sarhosis, Nikolaos Koukouzas, Georgios Louloudis, Christos Roumpos, and Thomas Kempka
Adv. Geosci., 58, 67–76, https://doi.org/10.5194/adgeo-58-67-2022,https://doi.org/10.5194/adgeo-58-67-2022, 2022
Short summary

Cited articles

Advani, S. H., Lee, J. K., Min, O. K., Aboustit, B. L., Chen, S. M., and Lee, S. C.: Stress mediated responses associated with UCG cavity and subsidence prediction modelling, in: Proceedings of the ninth annual underground coal gasification symposium, 282–292, Bloomingdale, IL, USA, https://digital.library.unt.edu/ark:/67531/metadc1065489/m2/1/high_res_d/5295596.pdf (last access: 1 November 2022), 1983. 
Fodor, B.: Magyarország szénhezkötött metánvagyona., Coalbed methane in-place resources in Hungary, Földtani Közlöny 136/4, 573–590, 2006. 
Itasca Consulting Group Inc: User Manual for 3DEC (Version 7.0), https://www.itascacg.com/software/3DEC (last access: 1 November 2022), https://doi.org/10.5281/zenodo.7373574, 2021. 
Kempka, T., Nakaten, B., De Lucia, M., Nakaten, N., Otto, C., Pohl, M., Tillner, E., and Kühn, M.: Flexible Simulation Framework to Couple Processes in Complex 3D Models for Subsurface Utilization Assessment, Energ. Proc., 97, 494–501, https://doi.org/10.1016/j.egypro.2016.10.058, 2016. 
Kempka, T., Steding, S., Tranter, M., Otto, C., Gorka, T., Hámor-Vidó, M., Basa, W., Kapusta, K., and Kalmár, I.: Probability of contaminant migration from abandoned in-situ coal conversion reactors, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11204, https://doi.org/10.5194/egusphere-egu22-11204, 2022. 
Download
Short summary
This paper presents the implementation of probabilistic analyses to assess environmental risks while improving the productivity of the in situ coal conversion process. Parametric modelling was employed for the Máza–Váralja (Hungary) coal deposit, and parameter uncertainty was undertaken to identify the potential risks to human health and the environment. The outputs of the parametric study focused on assessing reactor stability, fault integrity, surface subsidence, and hydraulic processes.