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Looking for students or interns
Areas of expertise
Geoscientific data assimilation , Emerging energies in the subsurface
- Full Professor
- Member of the joint implementation committee of the INRS-UQAR Joint Research Unit in Digital Transformation in Support of Regional Development
Phone
418 654-2637
Email
erwan.gloaguen@inrs.ca
Eau Terre Environnement Research Centre
490 de la Couronne Street
Québec City, Quebec G1K 9A9
CANADA
Research interests
Professor Gloaguen works on the integration of geoscientific methods to improve the characterization of groundwater resources, economic minerals, and hydrocarbon resources in order to monitor and predict their evolution over time. More specifically, he is interested in:
- data integration by ensemble methods and artificial intelligence
- characterization of resources by quantitative assimilation of data from multiple sources
- monitoring and prediction of coastal aquifers
Training openings for students or interns
Publications
Bavand-Savadkoohi, Mojtaba, Gloaguen, Erwan, Tokhmechi, Behzad, Arab-Amiri, Alireza & Giroux, Bernard (2024). CCWSIM: An efficient and fast wavelet-based CCSIM for categorical characterization of large-scale. ArXiv, online.
DOI: 10.48550/arXiv.2404.00441
Béraud, Thomas, Claprood, Maxime & Gloaguen, Erwan (2024). A sequential ensemble smoother for multiple data assimilation in hydrogeological modelling. Frontiers in Water, 6: art. 1462914.
DOI: 10.3389/frwa.2024.1462914
Lauzon, Dany & Gloaguen, Erwan (2024). Quantifying uncertainty and improving prospectivity mapping in mineral belts using transfer learning and Random Forest: A case study of copper mineralization in the Superior Craton Province, Quebec, Canada. Ore Geology Reviews, 166: Art. 105918.
DOI: 10.1016/j.oregeorev.2024.105918
Séjourné, Stéphan, Comeau, Félix-Antoine, dos Santos, Maria Luisa M., Bordeleau, Geneviève, Claprood, Maxime, Mulliez, Valentin, Malo, Michel, Giroux, Bernard, Gloaguen, Erwan & Raymond, Jasmin (2024). Potential for natural hydrogen in Quebec (Canada): a first review. Frontiers in Geochemistry – Section Mineral Geochemistry, 2: Art. 1351631.
DOI: 10.3389/fgeoc.2024.1351631
Shariatinik, Benyamin, Gloaguen, Erwan, Raymond, Jasmin, Boutin, Louis-Charles & Fabien-Ouellet, Gabriel (2024). ERT data assimilation to characterize aquifer hydraulic conductivity heterogeneity through a heat-tracing experiment. Near Surface Geophysics, 22 (3): 358-371.
DOI: 10.1002/nsg.12288
Silva dos Santos, Victor, Gloaguen, Erwan & Tirdad, Shiva (2024). Enhancing lithological mapping with spatially constrained bayesian network (scb-net): an approach for field data-constrained predictions with uncertainty evaluation. ArXiv, online.
DOI: 10.48550/arXiv.2403.20195
Simon, Jérome, Fabien-Ouellet, Gabriel & Gloaguen, Erwan (2024). Quality control in deep learning and confidence quantification: Seismic velocity regression through classification. Computational Geosciences, 184: Art. 105534.
DOI: 10.1016/j.cageo.2024.105534
Bavand-Savadkoohi, Mojata, Cedou, Matthieu, Blouin, Martin, Gloaguen, Erwan, Tirdad, Shiva & Giroux, Bernard (2023). High-resolution aeromagnetic map through Adapted-SRGAN: A case study in Québec, Canada. Computers & Geosciences, 176: Art. 105363.
DOI: 10.1016/j.cageo.2023.105363
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
Claprood, Maxime, Gloaguen, Erwan, Béraud, Thomas, Blouin, Martin, Dupuis, Christian, Ferron, Philippe, Ouellet, Michel, Chaussé, Michel, Martel, Richard, Paradis, Daniel & Ballard, Jean-Marc (2022). A case study using seismic reflection and well logs to reduce and quantify uncertainty during a hydrogeological assessment. Frontiers in Water, 3: Art. 779149.
DOI: 10.3389/frwa.2021.779149
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