Jeffery Boisvert, PhD, PEng

Associate Professor, Mining Engineering, Faculty of Engineering - Civil and Environmental Engineering Dept


Associate Professor, Mining Engineering, Faculty of Engineering - Civil and Environmental Engineering Dept
(780) 492-6157
6-241 Donadeo Innovation Centre For Engineering
9211-116 St
Edmonton AB
T6G 2H5



Research Interests

  • Geostatistical modeling of nonstationary domains.
  • Geostatistical models for environmental applications including CO2 sequestration and storage.
  • Geostatistical models for temporal data.
  • Use of numerical models in mine planning.
  • Integration of multivariate data sets in numerical modeling.

Research Currently in Progress

  • Reproduction of non-linear geological features such as channels, veins, complex folding, etc. This research uses the shortest path distance to integrate non-stationary anisotropy.
  • Generation of anisotropy fields from available data such as point measurements, surfaces, interpreted volumes or geological analogues.
  • Selection and use of training images with multiple point simulation algorithms.
  • Assessment of variable importance with geometallurgical data (often >100 variables).


MIN E 402 - Mine Design Project I

First phase of a dynamic scenario-based mine feasibility study from exploration through operations to final mine closure plan. Includes preparation of a geological model, calculation of resources, generation of focused technical reports, community consultation and economic reports. Identify and compare conceptual mining methods for consideration in Mine Design Project II (see MIN E 403). Prepare regular team reports and presentations. Present findings during a half-day final industry seminar. Weekly seminars with instructor and industry experts. Corequisites: MIN E 413 and MIN E 414. Note: Restricted to fourth-year traditional and fifth-year co-op engineering students.

Fall Term 2020
MIN E 422 - Environmental Impact of Mining Activities

Environmental impact of mining projects and activities. Topics include: environmental impact assessment (EIA) processes, sustainable development, mine closure, reclamation planning, social responsibility of mining, regulations, guidelines, surface subsidence, tailings disposal, erosion and acid rock drainage. Corequisite: MIN E 413.

Winter Term 2021
MIN E 612 - Principles of Geostatistics

Geostatistical methods are presented for characterizing the spatial distribution of regionalized variables. The theory of random variables and multivariate spatial distributions is developed. This class focuses on the quantification of spatial variability with variograms, estimation with kriging, and simulation with Gaussian techniques.

Fall Term 2020

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