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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Dubreuil-Boisclair, C., Gloaguen, E., Bellefleur, G., & Marcotte, D. (2012). Non-Gaussian Gas Hydrate Grade Simulation at the Mallik Site, Mackenzie Delta, Canada. Marine and Petroleum Geology, 35(1), 20-27. External link
Dubreuil-Boisclair, C., Gloaguen, E., Bellefleur, G., & Marcotte, D. (2012, November). Stochastic connectivity analysis and volume estimation at the Mallik gas hydrate reservoir, Mackenzie Delta, Canada [Abstract]. 82nd SEG International Exposition (SEG 2012), Las Vegas, NV. External link
Dubreuil-Boisclair, C., Gloaguen, E., Bellefleur, G., & Marcotte, D. (2012). Stochastic volume estimation and connectivity analysis at the Mallik gas hydrate field, Northwest Territories, Canada. Leading Edge, 31(9), 1076-1081. External link
Dubreuil-Boisclair, C., Gloaguen, E., Marcotte, D., & Giroux, B. (2011). Heterogeneous aquifer characterization from ground-penetrating radar tomography and borehole hydrogeophysical data using nonlinear Bayesian simulations. Geophysics, 76(4), J13-J25. External link
Dubreuil-Boisclair, C. (2009). Estimation des propriétés hydrauliques d'un aquifère par simulation séquentielle gaussienne bayésienne [Master's thesis, École Polytechnique de Montréal]. Available
Gloaguen, E., Giroux, B., Marcotte, D., Dubreuil-Boisclair, C., & Simard-Tremblay, P. (2010). Multiple scale porosity simulation using wavelet decomposition of GPR tomographies and hydrogeophysical analogues. In Advances in near-surface seismology and ground-penetrating radar (pp. 117-130). External link
Gloaguen, E., Dubreuil-Boisclair, C., Simard, P., Giroux, B., & Marcotte, D. (2010, June). Simulation of porosity field using wavelet Bayesian inversion of crosswell GPR and log data [Paper]. 13th International Conference on Ground Penetrating Radar (GPR 2010), Lecce, Italy. External link
