Jeff Boisvert, PhD, PEng
Contact
Professor, Faculty of Engineering - Civil and Environmental Engineering Dept
- jbb@ualberta.ca
Overview
Area of Study / Keywords
Mining Engineering and Wildland Fire Management
About
Research
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.
- Spatial modeling of variables that impact wildland fires and help in prediction.
- Automated wildland fire hazard and triage assessments.
- Fire growth 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).
- Wildland fire management using remotely collected data from drones, observers, and satellites to improve decision making.
Courses
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.
MIN E 613 - Non-Parametric and Multivariate Geostatistics
Cell based methods for geology modeling, including indicator formalism for categorical data and truncated Gaussian simulation. Object based and process-based approaches for fluvial reservoirs. Indicators for continuous variable estimation and simulation. Multivariate geostatistics including models of coregionalization, cokriging, Gaussian cosimulation, Markov-Bayes simulation and multivariate data transformation approaches. Introduction to advanced simulation approaches including direct simulation, simulated annealing and multiple point simulation. Prerequisite: Consent of instructor.