Documents dont l'auteur est "Shamsipour, Pejman"

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Nombre de documents: 23

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Bérubé, C. L., Olivo, G. R., Chouteau, M. C., Perrouty, S., Shamsipour, P., Enkin, R. J., Morris, W. A., Feltrin, L., & Thiémonge, R. (2018). Predicting rock type and detecting hydrothermal alteration using machine learning and petrophysical properties of the Canadian Malartic ore and host rocks, Pontiac Subprovince, Québec, Canada. Ore Geology Reviews, 96, 130-145. Lien externe

Bérubé, C. L., Chouteau, M. C., Shamsipour, P., Enkin, R. J., & Olivo, G. R. (2017). Bayesian inference of spectral induced polarization parameters for laboratory complex resistivity measurements of rocks and soils. Computers & Geosciences, 105, 51-64. Lien externe

Bérubé, C. L., Chouteau, M. C., Olivo, G., Perrouty, S., Shamsipour, P., & Enkin, R. (mars 2017). Spectral induced polarization signatures of altered metasedimentary rocks from the Canadian Malartic gold deposit bravo zone, Québec, Canada [Communication écrite]. Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2017), Denver. Lien externe

Bérubé, C. L., Chouteau, M. C., Olivo, G., Perrouty, S., Linnen, R. L., Enkin, R., Shamsipour, P., Lypaczewski, O., Gaillard, N., & Piette-Lauzière, N. (mars 2017). Spectral induced polarization signatures of altered metasedimentary rocks of the Canadian Malartic gold deposit Bravo zone, Quebec, Canada [Résumé]. PDAC-SEG Student Minerals Colloquium, Toronto, Canada. Non disponible

Bérubé, C. L., Chouteau, M. C., Shamsipour, P., & Olivo, G. R. (avril 2016). BISIP I: A program for Bayesian inference of spectral induced polarization parameters, and application to mineral exploration at the Canadian Malartic gold deposit, Québec, CA [Communication écrite]. EGU General Assembly 2016, Vienna, Austria. Lien externe

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Chouteau, M. C., Shamsipour, P., & Marcotte, D. (avril 2015). Regional-residual separation of gravity anomalies using geostatistical approaches [Communication écrite]. International Workshop and Gravity, Electrical & Magnetic Methods and their Applications (GEM Chengdu 2015), Chengdu, China. Lien externe

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Liang, M., Marcotte, D., & Shamsipour, P. (2016). Simulation of non-linear coregionalization models by FFTMA. Computers & Geosciences, 89, 220-231. Lien externe

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Mir, R., Fullagar, P., Darijani, M., Smith, R., Scott, S., Ross, M., Shamsipour, P., Chouteau, M. C., Ansdell, K., & Gouiza, M. (2022). Forward modeling and 3D inversion of electromagnetic data collected over the McArthur River uranium deposit in the Athabasca Basin, Canada. GEOPHYSICS, 87(2), B129-B143. Lien externe

Marcotte, D., Shamsipour, P., Coutant, O., & Chouteau, M. C. (2014). Inversion of potential fields on nodes for large grids. Journal of Applied Geophysics, 110, 90-97. Lien externe

Marcotte, D., Shamsipour, P., & Chouteau, M. C. (mars 2014). Potential field inversion on nodes for stochastic inversion models [Communication écrite]. 27th Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2014), Boston, MA, United states. Lien externe

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Nackers, C., Chouteau, M. C., Shamsipour, P., Cheman, M., & Bérubé, P. (mars 2013). Borehole gravity data inversion for detection of deeply seated volcanogenic massive sulphide deposits [Communication écrite]. 26th Symposium on the Application of Geophysics to Engineering and Environmental Problems 2013, SAGEEP 2013, Denver, CO, United states. Lien externe

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Schetselaar, E., Bellefleur, G., Craven, J., Roots, E., Cheraghi, S., Shamsipour, P., Caté, A., Mercier-Langevin, P., El Goumi, N., Enkin, R., & Salisbury, M. (2017). 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. Geological Society, London, Special Publications, 453(1), 57-79. Lien externe

Shamsipour, P., Chouteau, M. C., Marcotte, D., & Schetselaar, E. (mars 2014). 3D stochastic gravity inversion on unstructured meshes [Communication écrite]. 27th Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014, SAGEEP 2014, Boston, MA, United states. Lien externe

Shamsipour, P., Schetselaar, E., Bellefleur, G., & Marcotte, D. (2014). 3D stochastic inversion of potential field data using structural geologic constraints. Journal of Applied Geophysics, 111, 173-182. Lien externe

Shamsipour, P., Marcotte, D., Chouteau, M. C., Rivest, M., & Bouchedda, A. (2013). 3D stochastic gravity inversion using nonstationary covariances. Geophysics, 78(2), G15-G24. Lien externe

Shamsipour, P., Marcotte, D., & Chouteau, M. C. (2012). 3D Stochastic Joint Inversion of Gravity and Magnetic Data. Journal of Applied Geophysics, 79, 27-37. Lien externe

Shamsipour, P., Marcotte, D., & Chouteau, M. C. (2012). Integrating multiscale parameters information into 3D stochastic magnetic anomaly inversion. Geophysics, 77(4), D85-D93. Lien externe

Shamsipour, P. (2011). 3D Stochastic Inversion and Joint Inversion of Potential Fields for Multi Scale Parameters [Thèse de doctorat, École Polytechnique de Montréal]. Disponible

Shamsipour, P., Chouteau, M. C., & Marcotte, D. (2011). 3D stochastic inversion of magnetic data. Journal of Applied Geophysics, 73(4), 336-347. Lien externe

Shamsipour, P., Marcotte, D., Chouteau, M. C., & Allard, M. (2011). Stochastic inversion of a gravity field on multiple scale parameters using surface and borehole data. Geophysical Prospecting, 59(6), 998-1012. Lien externe

Shamsipour, P. (2008). 3D stochastic inversion of gravity data using cokriging and cosimulation [Mémoire de maîtrise, École Polytechnique de Montréal]. Disponible

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Tchikaya, E. B., Chouteau, M. C., Keating, P., & Shamsipour, P. (2016). 3D unconstrained and geologically constrained stochastic inversion of airborne vertical gravity gradient data. Exploration Geophysics, 47(1), 67-84. Lien externe

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Vallée, M. A., Morris, W. A., Perrouty, S., Lee, R. G., Wasyliuk, K., King, J. J., Ansdell, K., Mir, R., Shamsipour, P., Farquharson, C., Chouteau, M. C., Enkin, R. J., & Smith, R. S. (2019). Geophysical inversion contributions to mineral exploration: Lessons from the Footprints project. Canadian Journal of Earth Sciences, 56(5), 525-543. Lien externe

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