Erwan Gloaguen

Cedou, Matthieu, Gloaguen, Erwan, Blouin, Martin, Caté, Antoine, Paiement, Jean-Philippe & Tirdad, Shiva (2022). Preliminary geological mapping with convolution neural network using statistical data augmentation on a 3D model. Computers & Geosciences, 167: Art. 105187.
DOI: 10.1016/j.cageo.2022.105187

Crestani, Elena, Camporese, Matteo, Belluco, Enrica, Bouchedda, Abderrezak, Gloaguen, Erwan & Salandin, Paolo (2022). Large-scale physical modeling of salt-water intrusion. Water, 14 (8): Art. 1183.
DOI: 10.3390/w14081183

dos Santos, Victor Silva, Gloaguen, Erwan, Louro, Vinicius Hector Abud & Blouin, Martin (2022). Machine learning methods for quantifying uncertainty in prospectivity mapping of magmatic-hydrothermal gold deposits: A case study from Juruena Mineral Province, Northern Mato Grosso, Brazil. Minerals, 12 (8): Art. 941.
DOI: 10.3390/min12080941

Simon, Jérome, Fabien-Ouellet, Gabriel, Gloaguen, Erwan & Khurjekar, Ishan (2022). Hierarchical transfer learning for deep learning velocity model building. Geophysics, ONLINE.
DOI: 10.1190/geo2021-0470.1

Coulon, Cécile, Pryet, Alexandre, Lemieux, Jean-Michel, Yrro, Fidele Ble Jean, Bouchedda, Abderrezak, Gloaguen, Erwan, Comte, Jean-Christophe, Dupuis, Christian J. & Banton, Olivier (2021). A framework for parameter estimation using sharp-interface seawater intrusion models. J. Hydrol., 600 : Art. 126509.
DOI: 10.1016/j.jhydrol.2021.126509

Dip, Ana Cecilia, Giroux, Bernard & Gloaguen, Erwan (2021). Microseismic monitoring of rockbursts with the ensemble Kalman filter. Near Surf. Geophys., 19 (4): 429-445.
DOI: 10.1002/nsg.12158

Metahni, Sabrine, Coudert, Lucie, Gloaguen, Erwan, Tran, Lan Huong, Guemiza, Karima, Mercier, Guy & Blais, Jean-François (2021). Combining sequential gaussian simulation with linear regression to develop rehabilitation strategies using a hydrometallurgical process to simultaneously remove metals, PCP, and PCDD/F from a contaminated soil. Soil Sediment. Contam., 30 (3): 275-291.
DOI: 10.1080/15320383.2020.1849019

Bédard, Karine; Comeau, Félix-Antoine; Raymond, Jasmin; Gloaguen, Erwan; Malo, Michel & Richard, Marc-André (2020). Deep geothermal resource assessment of the St. Lawrence Lowlands sedimentary basin (Québec) based on 3D regional geological modelling. Geomach. Geophpys. Geo-energ. Geo-resour., 6: Art. 46.
DOI: 10.1007/s40948-020-00170-0

Gernez, Simon; Bouchedda, Abderrezak; Gloaguen, Erwan & Paradis, Daniel (2020). AIM4RES, an open-source 2.5D finite differences MATLAB library for anisotropic electrical resistivity modeling. Comput. Geosci., 135: Art. 104401.
DOI: 10.1016/j.cageo.2019.104401

Metahni, Sabrine; Coudert, Lucie; Blais, Jean-François; Tran, Lan Huong; Gloaguen, Erwan; Mercier, Gabrielle & Mercier, Guy (2020). Techno-economic assessment of an hydrometallurgical process to simultaneously remove As, Cr, Cu, PCP and PCDD/F from contaminated soil. J. Environ. Manage., 263: Art. 110371.
DOI: 10.1016/j.jenvman.2020.110371

Metahni, Sabrine; Coudert, Lucie; Gloaguen, Erwan; Tran, Lan Huong; Guemiza, Karima; Mercier, Guy & Blais, Jean-François (2020). Combining sequential gaussian simulation with linear regression to develop rehabilitation strategies using a hydrometallurgical process to simultaneously remove metals, PCP, and PCDD/F from a contaminated soil. Soil Sediment. Contam., ONLINE.
DOI: 10.1080/15320383.2020.1849019

Nussbaumer, Raphaël; Mariéthoz, Grégoire; Gloaguen, Erwan & Holliger, Klaus (2020). Hydrogeophysical data integration through Bayesian Sequential Simulation with log-linear pooling. Geophys. J. Int., 221 (3): 2184-2200.
DOI: 10.1093/gji/ggaa072

Sena, Guillaume Noumonvi Yawu; Chokmani, Karem; Gloaguen, Erwan & Bernier, Monique (2020). Multi-scale spatialization of snow water equivalent (SWE) according to their spatial structures in eastern Canada. Cryosphere Discuss., ONLINE.
DOI: 10.5194/tc-2020-316

Anterrieu, Olivier; Giroux, Bernard; Gloaguen, Erwan & Carde, Christophe (2019). Non-destructive data assimilation as a tool to diagnose corrosion rate in reinforced concrete structures. J. Build. Eng., 23: 193-206.
DOI: 10.1016/j.jobe.2019.01.033

Metahni, Sabrine; Coudert, Lucie; Gloaguen, Erwan; Guemiza, Karima; Mercier, Guy & Blais, Jean-François (2019). Comparison of different interpolation methods and sequential Gaussian simulation to estimate volumes of soil contaminated by As, Cr, Cu, PCP and dioxins/furans. Environ. Pollut., 252, Part A: 409-410.
DOI: 10.1016/j.envpol.2019.05.122

Pinet, Nicolas; Gloaguen, Erwan & Giroux, Bernard (2019). Introduction to the special issue on geophysics applied to mineral exploration. Can. J. Earth Sci. / Rev. Can. Sci. Terre, 56 (5): v-viii.
DOI: 10.1139/cjes-2018-0314

Raymond, Jasmin; Bédard, Karine; Comeau, Félix-Antoine; Gloaguen, Erwan; Comeau, Guillaume; Millet, Emmanuelle & Foy, Stefan (2019). A workflow for bedrock thermal conductivity map to help designing geothermal heat pump systems in the St. Lawrence Lowlands, Quebec, Canada. Sci. Tech. Built Environ., 25 (8): 963-979.
DOI: 10.1080/23744731.2019.1642077

Rivard, Christine; Bordeleau, Geneviève; Lavoie, Denis; Lefebvre, René; Ladevèze, Pierre; Duchesne, Mathieu J.; Séjourné, Stéphan; Crow, Heather; Pinet, Nicolas; Brake, Virgina; Bouchedda, Abderrezak; Gloaguen, Erwan; Ahad, Jason M. E.; Malet, Xavier; Aznar, Jean-Christophe & Malo, Michel (2019). Assessing potential impacts of shale gas development on shallow aquifers through upward fluid migration: A multi-disciplinary approach applied to the Utica Shale in eastern Canada. Mar. Petrol. Geol., 100: 466-483.
DOI: 10.1016/j.marpetgeo.2018.11.004

Schnitzler, Nathalie; Ross, Pierre-Simon & Gloaguen, Erwan (2019). Using machine learning to estimate a key missing geochemical variable in mining exploration: Application of the Random Forest algorithm to multisensor core logging data. J. Geochem. Explor., 205: Art. 106344.
DOI: 10.1016/j.gexplo.2019.106344

Sena, Guillaume Noumonvi Yawu; Chokmani, Karem; Gloaguen, Erwan & Bernier, Monique (2019). Critical analysis of the snow survey network according to the spatial variability of snow water equivalent (swe) on Eastern Mainland Canada. Hydrology, 6 (2): Art. 55.
DOI: 10.3390/hydrology6020055

Bouzaglou, Véronique; Crestani, Elena; Salandin, Paolo; Gloaguen, Erwan & Camporese, Matteo (2018). Ensemble kalman filter assimilation of ERT data for numerical modeling of seawater intrusion in a laboratory experiment. Water, 10 (4): Art. 397.
DOI: 10.3390/w10040397

Gloaguen, Erwan; Dupuis, Christian J. & Giroux, Bernard (2018). Portrait de la géophysique au Québec. Geologues, 198: 65-68.

Martel, Richard; Castellazzi, Pascal; Gloaguen, Erwan; Trépanier, Luc & Garfias, Jaime (2018). ERT, GPR, InSAR, and tracer tests to characterize karst aquifer systems under urban areas: The case of Quebec City. Geomorphology, 310: 45-56.
DOI: 10.1016/j.geomorph.2018.03.003

Nasr, Maher; Raymond, Jasmin; Malo, Michel & Gloaguen, Erwan (2018). Geothermal potential of the St. Lawrence Lowlands sedimentary basin from well log analysis. Geothermics, 75: 68-80.
DOI: 10.1016/j.geothermics.2018.04.004

Nussaumer, Raphaël; Mariéthoz, Grégoire; Gloaguen, Erwan & Holliger, Klaus (2018). Which path to choose in sequential gaussian simulation. Math. Geosci., 50 (1): 97-120.
DOI: 10.1007/s11004-017-9699-5

Nussbaumer, Raphaël; Mariethoz, Grégoire; Gravey, Mathieu; Gloaguen, Erwan & Holliger, Klaus (2018). Accelerating Sequential Gaussian Simulation with a constant path. Comput. Geosci., 112: 121-132.
DOI: 10.1016/j.cageo.2017.12.006

Blouin, Martin & Gloaguen, Erwan (2017). Colored inversion. The Leading Edge, 36 (10): 858-861.
DOI: 10.1190/tle36100858.1

Blouin, Martin; Le Ravalec, Mickaele; Gloaguen, Erwan & Adelinet, Mathilde (2017). Porosity estimation in the Fort Worth basin constrained by 3D seismic attributes integrated in a sequential bayesian simulation framework. Geophysics, 82 (4): M67-M80.
DOI: 10.1190/geo2016-0506.1

Bouchedda, Abderrezak; Giroux, Bernard & Gloaguen, Erwan (2017). Constrained electrical resistivity tomography Bayesian inversion using inverse Matérn covariance matrix. Geophysics, 82 (3): E129-E141.
DOI: 10.1190/geo2015-0673.1

Caté, Antoine; Perozzi, Lorenzo; Gloaguen, Erwan & Blouin, Martin (2017). Machine learning as a tool for geologists. The Leading Edge, 36 (3): 215-219.
DOI: 10.1190/tle36030215.1

Fabien-Ouellet, Gabriel; Gloaguen, Erwan & Giroux, Bernard (2017). Time-domain seismic modeling in viscoelastic media for full waveform inversion on heterogeneous computing platforms with OpenCL. Comput. Geosci., 100: 142-155.
DOI: 10.1016/j.cageo.2016.12.004

Fabien-Ouellet, Gabriel; Gloaguen, Erwan & Giroux, Bernard (2017). Time domain viscoelastic full waveform inversion. Geophys. J. Int., 209 (3): 1718-1734.
DOI: 10.1093/gji/ggx110

Fabien-Ouellet, Gabriel; Gloaguen, Erwan & Plassart, Gaël (2017). Integrating geophysics and soil sampling for site characterization: A kernel approach. J. Environ. Eng. Geophys., 22 (3): 305-308.
DOI: 10.2113/JEEG22.3.305

Fresia, Bastien; Ross, Pierre-Simon; Gloaguen, Erwan & Bourke, Alexandre (2017). Lithological discrimination based on statistical analysis of multi-sensor drill core logging data in the Matagami VMS district, Quebec, Canada. Ore Geol. Rev., 80: 552-563.
DOI: 10.1016/j.oregeorev.2016.07.019

Laanaya, Fatima; St-Hilaire, André & Gloaguen, Erwan (2017). Water temperature modelling: comparison between the generalized additive model, logistic, residuals regression and linear regression models. Hydrol. Sci. J., 62 (7): 1078-1093.
DOI: 10.1080/02626667.2016.1246799

Perozzi, Lorenzo; Giroux, Bernard; Schmitt, Douglas R. & Gloaguen, Erwan (2017). Sensitivity of seismic response for monitoring CO₂ math formula storage in a low porosity reservoir of the St Lawrence Lowlands, Québec, Canada: Part 2 – Synthetic modeling. Greenhouse Gases: Sci. Technol., 7 (4): 613-623.
DOI: 10.1002/ghg.1670

Perozzi, Lorenzo; Giroux, Bernard; Schmitt, Douglas R.; Gloaguen, Erwan & Kofman, Randy S. (2017). Sensitivity of seismic response for monitoring CO₂ storage in a low porosity reservoir of the St Lawrence Lowlands, Québec, Canada: Part 1 – Laboratory measurements. Greenhouse Gases: Sci. Technol., 7 (4): 602-612.
DOI: 10.1002/ghg.1671

Gardet, Caroline; Le Ravalec, Mickaele & Gloaguen, Erwan (2016). Pattern-based conditional simulation with a raster path: a few techniques to make it more efficient. Stoch. Environ. Res. Risk Asses., 30 (2): 429-446.
DOI: 10.1007/s00477-015-1207-1

Paradis, Daniel; Gloaguen, Erwan; Lefebvre, René & Giroux, Bernard (2016). A field proof-of-concept of tomographic slug tests in an anisotropic littoral aquifer. J. Hydrol., 536: 61-73.
DOI: 10.1016/j.jhydrol.2016.02.041

Paradis, Daniel; Lefebvre, René; Gloaguen, Erwan & Giroux, Bernard (2016). Comparison of slug and pumping tests for hydraulic tomography experiments: a practical perspective. Environ. Earth Sci., 75: Art. 1159.
DOI: 10.1007/s12665-016-5935-4

Perozzi, Lorenzo; Gloaguen, Erwan; Giroux, Bernard & Holliger, Klaus (2016). A stochastic inversion workflow for monitoring the distribution of CO₂ injected into deep saline aquifers. Comput. Geosci., 20 (6): 1287-1300.
DOI: 10.1007/s10596-016-9590-3

Sena, Guillaume Noumonvi Yawu; Chokmani, Karem; Gloaguen, Erwan & Bernier, Monique (2016). Analyse multi-échelles de la variabilité spatiale de l’équivalent en eau de la neige (EEN) sur le territoire de l’Est du Canada. Hydrol. Sci. J., 62 (3): 359-377.
DOI: 10.1080/02626667.2015.1022552

Blouin, M. & Gloaguen, E. (2015). Comprehensive geophysical data integration and stratigraphic contacts delineation in a regional hydrogeological characterization study. J. Environ. Eng. Geophys., 20 (2): 183-193.
DOI: 10.2113/JEEG20.2.183

Marcotte, D. & Gloaguen, E. (2015). Exact conditioning of Gaussian fields on wavelet coefficients. Math. Geosci., 47 (3): 277-300.
DOI: 10.1007/s11004-014-9552-z

Paradis, D.; Gloaguen, E.; Lefebvre, R. & Giroux, B. (2015). Resolution analysis of tomographic slug test head data: two-dimensional radial case. Water Resour. Res., 51 (4): 2356-2376.
DOI: 10.1002/2013WR014785

Paradis, D.; Lefebvre, R.; Gloaguen, E. & Rivera, A. (2015). Predicting hydrofacies and hydraulic conductivity from direct-push data using a data-driven relevance vector machine approach: Motivations, algorithms and application. Water Resour. Res., 51 (1): 481-505.
DOI: 10.1002/2014WR015452