Overview
Background
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.
Availability
- Dr Sebastian Hoerning is:
- Available for supervision
Qualifications
- Bachelor of Science, Universität Stuttgart
- Masters (Coursework) of Science, Universität Stuttgart
- Doctor of Philosophy, Universität Stuttgart
Research interests
-
Geostatistical inverse modeling
-
Stochastic modeling
Works
Search Professor Sebastian Hoerning’s works on UQ eSpace
2024
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, 1-18. doi: 10.1016/j.fuel.2023.129949
2023
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
2023
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
2023
Other Outputs
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
2023
Journal Article
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
2023
Conference Publication
Quantifying fugitive methane emissions in Queensland, Australia
Hoerning, S. (2023). Quantifying fugitive methane emissions in Queensland, Australia. 84th EAGE Annual Conference and Exhibition, Vienna, Austria, 5-8 June 2023. Bunnik, Netherlands: European Association of Geoscientists and Engineers. doi: 10.3997/2214-4609.2023101444
2022
Journal Article
Combining commercial microwave link and rain gauge observations to estimate countrywide precipitation: A stochastic reconstruction and pattern analysis approach
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
2022
Journal Article
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
2021
Journal Article
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
2021
Conference Publication
Key properties are not well represented by means: spatial asymmetry in coal seam gas reservoir modelling
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
2020
Journal Article
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
2020
Journal Article
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
2019
Journal Article
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
2019
Journal Article
Computational efficient inverse groundwater modeling using Random Mixing and Whittaker–Shannon interpolation
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
2018
Journal Article
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
2017
Journal Article
Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges
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
2017
Journal Article
Process-driven direction-dependent asymmetry: identification and quantification of directional dependence in spatial fields
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
2017
Conference Publication
A new method for facies simulation using non-linear geostatistics with directional and order asymmetry
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.
2016
Journal Article
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
2016
Journal Article
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
Supervision
Availability
- Dr Sebastian Hoerning is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Completed supervision
-
2024
Doctor Philosophy
Extending the life of gas fields by re-purposing for hydrogen storage to support Australia's energy transition
Principal Advisor
Other advisors: Professor Jim Underschultz, Honorary Professor Suzanne Hurter
-
2023
Doctor Philosophy
Full Waveform Inversion with Random Mixing
Associate Advisor
Other advisors: Associate Professor Lutz Gross
Media
Enquiries
For media enquiries about Dr Sebastian Hoerning's areas of expertise, story ideas and help finding experts, contact our Media team: