Author

Jeff B. Boisvert

Observed names: Boisvert, Jeff, J. B. Boisvert, J. Boisvert, J.B. Boisvert, Jeff Boisvert, Jeffery Boisvert

Institution: University of Alberta

Observed institutions: Agriculture and Agri-Food Canada, University of Alberta, Canadian Natural Resources

ORCID: 0000-0001-7811-8795

Observed ORCID: 0000-0001-7811-8795

OpenAlex ID: A5112907481

ALLUVSIM: A program for event-based stochastic modeling of fluvial depositional systems

2009 · M.J. Pyrcz, J.B. Boisvert, et al. · Computers & Geosciences · 129

Programs for kriging and sequential Gaussian simulation with locally varying anisotropy using non-Euclidean distances

2010 · Jeff B. Boisvert, Clayton V. Deutsch · Computers & Geosciences · 97

Kriging in the Presence of Locally Varying Anisotropy Using Non-Euclidean Distances

2009 · J. B. Boisvert, J. G. Manchuk, et al. · Mathematical Geosciences · 91

Multiple-Point Statistics for Training Image Selection

2007 · Jeff B. Boisvert, Michael J. Pyrcz, et al. · Natural Resources Research · 76

A library of training images for fluvial and deepwater reservoirs and associated code

2007 · M.J. Pyrcz, J.B. Boisvert, et al. · Computers & Geosciences · 72

Geometallurgical Modeling at Olympic Dam Mine, South Australia

2013 · Jeff B. Boisvert, Mario E. Rossi, et al. · Mathematical Geosciences · 71

Multiple Point Metrics to Assess Categorical Variable Models

2010 · Jeff B. Boisvert, Michael J. Pyrcz, et al. · Natural Resources Research · 49

Iterative refinement of implicit boundary models for improved geological feature reproduction

2017 · Ryan Martin, Jeff B. Boisvert · Computers & Geosciences · 46

Quantitative assessment of mineral resources by combining geostatistics and fractal methods in the Tongshan porphyry Cu deposit (China)

2013 · Gongwen Wang, Zhenshan Pang, et al. · Journal of Geochemical Exploration · 38

Mineral resource classification: a comparison of new and existing techniques

2014 · D.S.F. Silva, Jeff Boisvert · Journal of the Southern African Institute of Mining and Metallurgy · 33

Bayesian linearized seismic inversion with locally varying spatial anisotropy

2012 · E.L. Bongajum, J. Boisvert, et al. · Journal of Applied Geophysics · 27

Conditioning 3D object-based models to dense well data

2018 · Yimin C. Wang, Michael J. Pyrcz, et al. · Computers & Geosciences · 24

Corn yield prediction with artificial neural network trained using airborne remote sensing and topographic data

2002 · C.Z. Serele, Q.H.J. Gwyn, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 23

Towards justifying unsupervised stationary decisions for geostatistical modeling: Ensemble spatial and multivariate clustering with geomodeling specific clustering metrics

2018 · Ryan Martin, Jeff Boisvert · Computers & Geosciences · 17

Geostatistics with locally varying anisotropy

2010 · Boisvert, Jeff · ERA: Education and Research Archive (University of Alberta) · 16

Non-stationary Geostatistical Modeling: A Case Study Comparing LVA Estimation Frameworks

2018 · Ryan Martin, David Machuca-Mory, et al. · Natural Resources Research · 15

Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources

2023 · Gamze Erdogan Erten, Oktay Erten, et al. · International Journal of Coal Geology · 13

A numerical characterization workflow for assessing the strength and failure modes of heterogeneous oil sands

2020 · Bo Zhang, Rick Chalaturnyk, et al. · Canadian Geotechnical Journal · 12

Impact of Heterogeneous Geomechanical Properties on Coupled Geomechanical-Flow Simulation of SAGD

2011 · Mohammad Mehdi Khajeh, Rick Chalaturnyk, et al. · SPE Reservoir Characterisation and Simulation Conference and Exhibition · 12

Upscaling Shear Strength of Heterogeneous Oil Sands with Interbedded Shales Using Artificial Neural Network

2022 · Bo Zhang, Zhiwei Ma, et al. · SPE Journal · 11

Inference of locally varying anisotropy fields from diverse data sources

2015 · Maksuda Lillah, Jeff B. Boisvert · Computers & Geosciences · 11

Stochastic Distance Based Geological Boundary Modeling with Curvilinear Features

2012 · Maksuda Lillah, Jeff B. Boisvert · Mathematical Geosciences · 11

Optimization of underground mining production layouts considering geological uncertainty using deep reinforcement learning

2024 · Roberto Noriega, Jeff Boisvert · Engineering Applications of Artificial Intelligence · 10

Image to attribute model for trees (ITAM-T): individual tree detection and classification in Alberta boreal forest for wildland fire fuel characterization

2022 · L. Bennett, B. Wilson, et al. · International Journal of Remote Sensing · 10

A methodology to construct training images for vein-type deposits

2007 · J.B. Boisvert, O. Leuangthong, et al. · Computers & Geosciences · 10

Works count: 79

Citation count: 1,044

H-index: 15

I10-index: 25