EDUARDO ALEJANDRO CORDOVA portrait
  • Adjunct Assistant Professor, Mining Engineering
801-585-5176

Education

  • PhD, Mining Engineering, University of Utah. Project: Three-Dimensional Modeling of Progressive Seismic Activity Using Block Modeling Techniques
  • Master of Science, Mining Engineering, University of Utah. Project: Simulation of Resources and Reserves Uncertainty on Block Models Using Variability Indices
  • Civil Mining Engineering, MIning Department, Universidad de Santiago de Chile. Project: Three DImensional Model of Acid Water Management System

Biography

I am interested in the research and development of innovative solutions to mining challenges. Some of the tasks I have been involved while working and investigating are: 

 

Development of progressive deterioration models in 4-D and 3-D to account for induced seismicity in mines using block modeling techniques to account for energy releases from seismic events and the correlation between multiple variables.

 

Analyses for different undercut macro-sequences for underground projects under high stress conditions. 

 

Conceptualization of mine models and geometries in three-dimensions for different areas of interest in the mine (undercut level, undercut geometries, production layouts, drawbell geometries, crown pillar, drawbell connections, cave shapes).

 

Finite element analyses in 3-D using different FEM applications to analyze the effect of different mining sequences and geometrical configurations.

 

Different tasks required to develop a numerical model, from pre-processing (unification of entities, steps, meshing, and properties), solving and post-processing of the data.

 

Interactive visualization, correlation, and analyses of spatial data in 3-D environments.

 

Modeling and interaction of solids and surfaces in mine designs.

 

Creation and conceptualization of geological and structural models for mining.

 

Resource and reserve estimation and reporting.

 

Geostatistics and modeling techniques applied to estimation of data

 

Use of risk analyses tools to account for variability in the input data and its effect in the result being studied.

 

Mine models in 3-D to show and understand the mine designs and its placement in surface and underground environments.

 

The development of applications and generation of new technology to improve mining techniques.

 

Virtual Reality and complex data display.