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Stanley P. Mordensky
Stanley P. Mordensky
University of Canterbury
Verified email at usgs.gov - Homepage
Title
Cited by
Cited by
Year
Physical and mechanical property relationships of a shallow intrusion and volcanic host rock, Pinnacle Ridge, Mt. Ruapehu, New Zealand
SP Mordensky, MC Villeneuve, BM Kennedy, MJ Heap, DM Gravley, ...
Journal of Volcanology and Geothermal Research 359, 1-20, 2018
572018
Pressure Controlled Permeability in a Conduit Filled with Fractured Hydrothermal Breccia Reconstructed from Ballistics from Whakaari (White Island), New Zealand
B Kennedy, B. M., Farquhar, A., Hilderman, R., Villeneuve, M. C., Heap, M. J ...
Geosciences 40 (10), 2020
52*2020
Influence of alteration on the mechanical behaviour and failure mode of andesite: implications for shallow seismicity and volcano monitoring
SP Mordensky, MJ Heap, BM Kennedy, HA Gilg, MC Villeneuve, ...
Bulletin of Volcanology 81, 1-12, 2019
502019
Increasing the permeability of hydrothermally altered andesite by transitory heating
SP Mordensky, BM Kennedy, MC Villeneuve, Y Lavallée, MK Reichow, ...
Geochemistry, geophysics, geosystems 20 (11), 5251-5269, 2019
272019
Rock mass properties and edifice strength data from Pinnacle Ridge, Mt. Ruapehu, New Zealand
SP Mordensky, MC Villeneuve, JI Farquharson, BM Kennedy, MJ Heap, ...
Journal of volcanology and geothermal research 367, 46-62, 2018
192018
When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates
SP Mordensky, JJ Lipor, J DeAngelo, ER Burns, CR Lindsey
Geothermics 110, 102662, 2023
112023
Hydrothermally induced edifice destabilisation: the mechanical behaviour of rock mass surrounding a shallow intrusion in andesitic lavas, Pinnacle Ridge, Ruapehu, New Zealand
SP Mordensky, MC Villeneuve, BM Kennedy, JD Struthers
Engineering Geology 305, 106696, 2022
92022
Predicting geothermal favorability in the Western United States by using machine learning: addressing challenges and developing solutions
SP Mordensky, JJ Lipor, J DeAngelo, ER Burns, CR Lindsey
Forty Seventh Workshop on Geothermal Reservoir Engineering, 2022
72022
Characteristics of altered volcanic rocks in geothermal reservoirs
M Villeneuve, B Kennedy, D Gravley, S Mordensky, MJ Heap, P Siratovich, ...
Rock Mechanics for Natural Resources and Infrastructure Development-Full …, 2019
72019
Magma storage below Cascades shield volcanoes as inferred from melt inclusion data: A comparison of long-lived and short-lived magma plumbing systems
SP Mordensky, PJ Wallace
Journal of Volcanology and Geothermal Research 368, 1-12, 2018
62018
New maps of conductive heat flow in the Great Basin, USA: Separating conductive and convective influences
J DeAngelo, ER Burns, E Gentry, JF Batir, CR Lindsey, SP Mordensky
48th Workshop on Geothermal Reservoir Engineering, 2023
42023
What did they just say? Building a Rosetta stone for geoscience and machine learning
SP Mordensky, J Lipor, E Burns, CR Lindsey
2022 Geothermal Rising Conference 46, 2022
22022
Characterization of the Oriskany and Berea Sandstones: Evaluating Biogeochemical Reactions of Potential Sandstone–Hydraulic Fracturing Fluid Interaction
SP Mordensky, K Rabjohns, AE Lieuallen, A Harris, C Verba
National Energy Technology Lab.(NETL), Albany, OR (United States), 2016
22016
An Evaluation of Subsurface Microbial Activity Conditional to Subsurface Temperature, Porosity, and Permeability at North American Carbon Sequestration Sites
B Wilson, SP Mordensky, C Verba, K Rabjohns, F Colwell
National Energy Technology Lab.(NETL), Albany, OR (United States); Oak Ridge …, 2016
22016
Cursed? Why one does not simply add new data sets to supervised geothermal machine learning models
SP Mordensky, ER Burns, JJ Lipor, J DeAngelo
Geothermal Resources Council Transactions 47, 1288-1313, 2023
12023
Improving workflows for developing geothermal energy favorability maps and estimate likely resource potential
ER Burns, SP Mordensky, J DeAngelo, J Lipor, JD Pepin, RC Cahalan
AGU23, 2023
2023
Convection and conduction of heat in the Great Basin, Nevada, USA: Separating signals to improve geothermal energy resource assessments
ER Burns, J DeAngelo, SP Mordensky, CF Williams
AGU23, 2023
2023
Detrending Great Basin elevation to identify structural patterns for identifying geothermal favorability
J DeAngelo, E Burns, SP Mordensky, CR Lindsey
Geothermal Resources Council Transactions 47, 1694-1702, 2023
2023
Don’t Let Negatives Hold You Back: Accounting for Underlying Physics and Natural Distributions of Hydrothermal Systems When Selecting Negative Training Sites Leads to Better …
PD Caraccioli, SP Mordensky, CR Lindsey, J DeAngelo, ER Burns, ...
Geothermal Resources Council Transactions 47, 1672-1693, 2023
2023
Predicting Large Hydrothermal Systems
SP Mordensky, E Burns, J DeAngelo, J Lipor
Geothermal Resources Council Transactions 47, 1763-1796, 2023
2023
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