Zobrazeno 1 - 10 of 37 pro vyhledávání: '"Ernst Schetselaar"'
1
GeoINR 1.0: an implicit neural representation network for three-dimensional geological modelling
Autor: Michael Hillier, Florian Wellmann, Eric de Kemp, Ernst Schetselaar, Boyan Brodaric, Karine Bédard
Implicit neural representation (INR) networks are emerging as a powerful framework for learning three-dimensional shape representations of complex objects. These networks can be used effectively to implicitly model three-dimensional geological struct
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e564986a7bbe0a88d8d9d3b193b86def
https://doi.org/10.5194/gmd-2022-290
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2
Three-dimensional magnetotelluric numerical simulation of realistic geologic models
Autor: Colin G. Farquharson, James A. Craven, SeyedMasoud Ansari, Ernst Schetselaar
Publikováno v: GEOPHYSICS. 85:E171-E190
We have developed a workflow for constructing realistic mesh-based magnetotelluric (MT) models from 3D geologic models. The routine is developed for unstructured meshes that adapt to the complex shapes of geologic bodies including 3D surfaces and vol
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6aaf68c73f02bf366ddeff302651613a
https://doi.org/10.1190/geo2019-0214.1
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3
Vertical seismic profiling using distributed acoustic sensing with scatter‐enhanced fibre‐optic cable at the Cu–Au New Afton porphyry deposit, British Columbia, Canada
Autor: Don White, Ernst Schetselaar, D. R. Schmitt, Gilles Bellefleur, D Wade, Randolph J. Enkin
Publikováno v: Geophysical Prospecting. 68:313-333
Wireline logs and vertical seismic profile data were acquired in two boreholes intersecting the main mineralized zone at the Cu–Au New Afton porphyry deposit, Canada, with the objectives of imaging lithological contacts, fault zones that may have a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::673503f4939cad23c00df8d09803b57c
https://doi.org/10.1111/1365-2478.12828
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4
Using Graph Neural Networks for 3-D Structural Geological Modelling
Autor: Eric de Kemp, Florian Wellmann, Ernst Schetselaar, Boyan Brodaric, Michael Hillier
A new approach for constrained 3-D structural geological modelling using Graph Neural Networks (GNN) has been developed that is driven by a learning through training paradigm. Graph neural networks are an emerging deep learning model for graph struct
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a6f8ffdc47e13406cf2c7de949574b4
https://doi.org/10.5194/egusphere-egu21-12978
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7
Resolution and uncertainty in lithospheric 3-D geological models
Autor: Ernst Schetselaar, David B. Snyder, Mark Pilkington, Andrew J. Schaeffer
Publikováno v: Mineralogy and Petrology. 112:133-147
As three-dimensional (3-D) modelling of the subcontinental mantle lithosphere is increasingly performed with ever more data and better methods, the robustness of such models is increasingly questioned. Resolution thresholds and uncertainty within dee
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27955511c72b3a73046eca437d93fea2
https://doi.org/10.1007/s00710-018-0619-2
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8
Classification of lithostratigraphic and alteration units from drillhole lithogeochemical data using machine learning: A case study from the Lalor volcanogenic massive sulphide deposit, Snow Lake, Manitoba, Canada
Autor: Patrick Mercier-Langevin, Ernst Schetselaar, Antoine Caté, Pierre-Simon Ross
Publikováno v: Journal of Geochemical Exploration. 188:216-228
Classification of rock types using geochemical variables is widely used in geosciences, but most standard classification methods are restricted to the simultaneous use of two or three variables at a time. Machine learning-based methods allow for a mu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::698b37d99df8aa507069f436e1421337
https://doi.org/10.1016/j.gexplo.2018.01.019
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9
Geologically driven 3D modelling of physical rock properties in support of interpreting the seismic response of the Lalor volcanogenic massive sulphide deposit, Snow Lake, Manitoba, Canada
Autor: James A. Craven, Ernst Schetselaar, Najib El Goumi, Eric Roots, Saeid Cheraghi, Randolph J. Enkin, Matthew H. Salisbury, Patrick Mercier-Langevin, Pejman Shamsipour, Gilles Bellefleur, Antoine Caté
Publikováno v: Geological Society, London, Special Publications. 453:57-79
3D lithofacies and physical rock property models were generated to interpret 3D seismic data acquired over the Lalor volcanogenic massive sulphide deposit, Manitoba, Canada. The lithofacies model revealed that strong seismic reflectivity is associate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a0ebaac49f42f187713c9fc430a86329
https://doi.org/10.1144/sp453.5
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10
Elucidating the Effects of Hydrothermal Alteration on Seismic Reflectivity in the Footwall of the Lalor Volcanogenic Massive Sulfide Deposit, Snow Lake, Manitoba, Canada
Autor: Ernst Schetselaar, Gilles Bellefleur, Patricia Hunt
Publikováno v: Minerals
Volume 9
Issue 6
Minerals, Vol 9, Iss 6, p 384 (2019)
The integrated analysis of seismic rock properties, lithogeochemical data, and mineral compositional data, estimated via scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS), provides insight into the effects of hydrothermal al
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7591a8e123b25b5d8c433d05503da2db
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