Sebastian is an Advance Queensland Industry Research Fellow at The University of Queensland's Centre for Natural Gas. Sebastian has a Bachelors, Masters and Doctorate in Environmental Engineering through the University of Stuttgart. His research interests include geostatistics, stochastic modelling, and copula-based non-linear geostatistics.
Journal Article: Effects of geological heterogeneity on gas mixing during underground hydrogen storage (UHS) in braided-fluvial reservoirs
Bo, Zhenkai, Hörning, Sebastian, Underschultz, Jim R., Garnett, Andrew and Hurter, Suzanne (2024). Effects of geological heterogeneity on gas mixing during underground hydrogen storage (UHS) in braided-fluvial reservoirs. Fuel, 357 129949, 129949. doi: 10.1016/j.fuel.2023.129949
Other Outputs: Technical note: incorporating uncertainty in a porosity-permeability relationship in geostatistical modelling
Rodger, Iain and Hörning, Sebastian (2023). Technical note: incorporating uncertainty in a porosity-permeability relationship in geostatistical modelling. New Stratigraphy and geostatistics for gas and water resources Brisbane, QLD, Australia: The University of Queensland. doi: 10.14264/953e027
Conference Publication: Accounting green and blue hydrogen in a net cash flow model for techno-economic assessment on underground hydrogen storage in Australia
Bo, Z., Hurter, S., Hoerning, S., Underschultz, J. and Garnett, A. (2023). Accounting green and blue hydrogen in a net cash flow model for techno-economic assessment on underground hydrogen storage in Australia. Asia Pacific Unconventional Resources Symposium, Brisbane, QLD Australia, 14-15 November 2023. Houston, TX USA: Society of Petroleum Engineers. doi: 10.2118/217336-ms
Novel statistical estimation of fugitive methane emissions using drones
(2022–2024) Advance Queensland Industry Research Fellowships
New Stratigraphy and Geostatistics for Gas and Water Resources
(2020–2023) ARC Linkage Projects
(2018–2021) Australian Energy Resource Growth Centre Ltd
Extending the life of gas fields by re-purposing for hydrogen storage to support Australia's energy transition
Doctor Philosophy
Full Waveform Inversion with Random Mixing
(2023) Doctor Philosophy
Process-oriented modeling of spatial random fields using copulas
Hörning, Sebastian (2016). Process-oriented modeling of spatial random fields using copulas. Stuttgart, Germany: Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung. doi: 10.18419/opus-8871
Bo, Zhenkai, Hörning, Sebastian, Underschultz, Jim R., Garnett, Andrew and Hurter, Suzanne (2024). Effects of geological heterogeneity on gas mixing during underground hydrogen storage (UHS) in braided-fluvial reservoirs. Fuel, 357 129949, 129949. doi: 10.1016/j.fuel.2023.129949
Definition of spatial copula based dependence using a family of non‐Gaussian spatial random fields
Bárdossy, András and Hörning, Sebastian (2023). Definition of spatial copula based dependence using a family of non‐Gaussian spatial random fields. Water Resources Research, 59 (7) e2023WR034446. doi: 10.1029/2023wr034446
Blettner, Nico, Chwala, Christian, Haese, Barbara, Hörning, Sebastian and Kunstmann, Harald (2022). Combining commercial microwave link and rain gauge observations to estimate countrywide precipitation: A stochastic reconstruction and pattern analysis approach. Water Resources Research, 58 (10) e2022WR032563, 1-16. doi: 10.1029/2022wr032563
Full waveform inversion using Random Mixing
Chang, A., Gross, L. and Hörning, S. (2022). Full waveform inversion using Random Mixing. Computers and Geosciences, 161 105041, 105041. doi: 10.1016/j.cageo.2022.105041
RMWSPy (v 1.1): A Python code for spatial simulation and inversion for environmental applications
Hörning, Sebastian and Haese, Barbara (2021). RMWSPy (v 1.1): A Python code for spatial simulation and inversion for environmental applications. Environmental Modelling and Software, 138 104970, 104970. doi: 10.1016/j.envsoft.2021.104970
Conditional simulation of surface rainfall fields using modified phase annealing
Yan, Jieru, Bárdossy, András, Hörning, Sebastian and Tao, Tao (2020). Conditional simulation of surface rainfall fields using modified phase annealing. Hydrology and Earth System Sciences, 24 (5) 2020, 2287-2301. doi: 10.5194/hess-24-2287-2020
Geostatistical electrical resistivity tomography using random mixing
Hörning, S., Gross, L. and Bárdossy, A. (2020). Geostatistical electrical resistivity tomography using random mixing. Journal of Applied Geophysics, 176 104015, 104015. doi: 10.1016/j.jappgeo.2020.104015
Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling
Grundmann, Jens, Hörning, Sebastian and Bárdossy, András (2019). Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling. Hydrology and Earth System Sciences, 23 (1), 225-237. doi: 10.5194/hess-23-225-2019
Hörning, S., Sreekanth, J. and Bárdossy, A. (2019). Computational efficient inverse groundwater modeling using Random Mixing and Whittaker–Shannon interpolation. Advances in Water Resources, 123, 109-119. doi: 10.1016/j.advwatres.2018.11.012
Phase annealing for the conditional simulation of spatial random fields
Hörning, S. and Bardossy, A. (2018). Phase annealing for the conditional simulation of spatial random fields. Computers and Geosciences, 112, 101-111. doi: 10.1016/j.cageo.2017.12.008
Haese, B., Hörning, S., Chwala, C., Bardossy, A. and Kunstmann, H. (2017). Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges. Water Resources Research, 53 (12), 10740-10756. doi: 10.1002/2017WR021015
Bárdossy, András and Hörning, Sebastian (2017). Process-driven direction-dependent asymmetry: identification and quantification of directional dependence in spatial fields. Mathematical Geosciences, 49 (7), 871-891. doi: 10.1007/s11004-017-9682-1
Random mixing: an approach to inverse modeling for groundwater flow and transport problems
Bardossy, Andras and Hoerning, Sebastian (2016). Random mixing: an approach to inverse modeling for groundwater flow and transport problems. Transport in Porous Media, 114 (2), 241-259. doi: 10.1007/s11242-015-0608-4
Gaussian and non-Gaussian inverse modeling of groundwater flow using copulas and random mixing
Bárdossy, András and Hörning, Sebastian (2016). Gaussian and non-Gaussian inverse modeling of groundwater flow using copulas and random mixing. Water Resources Research, 52 (6), 4504-4526. doi: 10.1002/2014WR016820
Bo, Z., Hurter, S., Hoerning, S., Underschultz, J. and Garnett, A. (2023). Accounting green and blue hydrogen in a net cash flow model for techno-economic assessment on underground hydrogen storage in Australia. Asia Pacific Unconventional Resources Symposium, Brisbane, QLD Australia, 14-15 November 2023. Houston, TX USA: Society of Petroleum Engineers. doi: 10.2118/217336-ms
Hoerning, Sebastian and Rodger, Iain (2021). Key properties are not well represented by means: spatial asymmetry in coal seam gas reservoir modelling. SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, Virtual, 16-18 November 2021. Unconventional Resources Technology Conference (URTEC). doi: 10.15530/AP-URTEC-2021-208353
Tyson, Stephen and Hörning, Sebastian (2017). A new method for facies simulation using non-linear geostatistics with directional and order asymmetry. SPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition 2017, Jakarta, Indonesia, October 17-19, 2017. Society of Petroleum Engineers.
Simulation of conditional spatial fields using random mixing
Horning, S., Bardossy, A. and Tyson, S. (2015). Simulation of conditional spatial fields using random mixing. Petroleum Geostatistics 2015, Biarritz, France, 7 - 11 September 2015. Netherlands: European Association of Geoscientists and Engineers, EAGE. doi: 10.3997/2214-4609.201413599
Rodger, Iain and Hörning, Sebastian (2023). Technical note: incorporating uncertainty in a porosity-permeability relationship in geostatistical modelling. New Stratigraphy and geostatistics for gas and water resources Brisbane, QLD, Australia: The University of Queensland. doi: 10.14264/953e027
Technical note: a statistical approach to identifying geological intervals in wireline log data
Rodger, Iain and Hörning, Sebastian (2023). Technical note: a statistical approach to identifying geological intervals in wireline log data. New Stratigraphy and geostatistics for gas and water resources Brisbane, QLD, Australia: The University of Queensland. doi: 10.14264/2bf1407
Novel statistical estimation of fugitive methane emissions using drones
(2022–2024) Advance Queensland Industry Research Fellowships
New Stratigraphy and Geostatistics for Gas and Water Resources
(2020–2023) ARC Linkage Projects
(2018–2021) Australian Energy Resource Growth Centre Ltd
Extending the life of gas fields by re-purposing for hydrogen storage to support Australia's energy transition
Doctor Philosophy — Principal Advisor
Other advisors:
Full Waveform Inversion with Random Mixing
(2023) Doctor Philosophy — Associate Advisor