Jennifer  Fohring
Jennifer Fohring
Geophysicist and data scientist, Computational Geosciences Inc.
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Adaptive A-optimal experimental design for linear dynamical systems
J Fohring, E Haber
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 1138-1159, 2016
Geophysical imaging of fluid flow in porous media
J Fohring, E Haber, L Ruthotto
SIAM Journal on Scientific Computing 36 (5), S218-S236, 2014
Using machine learning to interpret 3D airborne electromagnetic inversions
E Haber, J Fohring, M McMillan, J Granek
ASEG Extended Abstracts 2019 (1), 1-4, 2019
Adaptive optimal experimental design and inversion of a coupled fluid flow and geophysical imaging model for reservoir monitoring
J Fohring
University of British Columbia, 2016
Geophysical Imaging, Reservoir History Matching and Forecasting
EH J Fohring, L Ruthotto
2013 SEG Annual Meeting, 2013
Mineral prospectivity mapping using a VNet convolutional neural network
M McMillan, E Haber, B Peters, J Fohring
The Leading Edge 40 (2), 99-105, 2021
Machine Learning Applications and Examples for Natural Resources
N Phillips, M McMillan, J Fohring, B Peters, E Haber
NSG2020 3rd Conference on Geophysics for Mineral Exploration and Mining 2020 …, 2020
Orogenic gold prospectivity mapping using machine learning
M McMillan, J Fohring, E Haber, J Granek
ASEG Extended Abstracts 2019 (1), 1-4, 2019
Multi-resolution neural networks for subsurface exploration with sparse labels.
J Fohring, E Haber
AGU Fall Meeting Abstracts 2019, H34B-05, 2019
Estimation of porous fluid properties through inversion of geophysical imaging data for reservoir characterization and forecasting
J Fohring, E Haber, L Ruthotto
EGU General Assembly Conference Abstracts, 3143, 2014
Estimation of the initial tracer distribution and fluid velocity field from the inversion of geophysical imaging data
J Fohring, L Ruthotto, E Haber
AGU Fall Meeting Abstracts 2013, NS33A-1688, 2013
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