Search

1991

Umezawa, Ado.

Fall 2014

Liddell, Mitchell V.

The goal of this thesis is to investigate the character of the basement rocks beneath the oilsands region around Fort McMurray in the context of developing engineered geothermal systems (EGS). Magnetotelluric (MT) data were collected at 94 stations on two profiles near to Fort McMurray and...

Spring 2015

Barnett, Ryan M.

Evaluating the process performance of mining and petroleum operations requires numerical geological models of many related rock properties or variables. Taken together, they provide a characterization of the geologic deposit that forms the basis for engineering design and decision making. Complex...

Spring 2015

Silva, Diogo S F

The classification of mineral resources must follow standards that were created to regulate the public disclosure of projects assisting investors and their advisers in making investment decisions and preventing the publication of erroneous, misleading and fraudulent information. The definition of...

Spring 2020

Samson, Matthew

Mineral resource estimation is an integral part of making informed decisions while evaluating the feasibility of a mining operation. Geostatistical tools estimate geological and spatial features with the assumptions of first and second‑order stationarity. In the modelling process,...

Spring 2016

Karpekov, Tolonbek

Uncertainty in resource estimation affects long-term development, planning, and investment decisions. Therefore, there is a need to make the best decisions considering all available data and different modeling approaches. This thesis develops a conceptual framework for resource modeling with...

Fall 2018

Chiquini, Ana P

Long term mineral resources modeling is done to predict tonnage and grade of ore that may be mined and represents a key feature in the development of any mining project. The most common approach used in the mining industry is to estimate the grades using ordinary kriging and report the...

Fall 2010

Hong, Sahyun

Improved numerical reservoir models are constructed when all available diverse data sources are accounted for to the maximum extent possible. Integrating various diverse data is not a simple problem because data show different precision and relevance to the primary variables being modeled,...

Spring 2022

Zhang, Haoze

Geostatistical modeling takes geological data as inputs and builds statistical models for resource prediction. Geostatistics consists of several components, including preprocessing, modeling, and postprocessing. Exploratory data analysis (EDA) is an early step in preprocessing. It provides...

Fall 2018

Hmoud, Samer

A geostatistical workflow for modeling multivariate sparsely sampled variables in shale gas reservoirs is proposed in this thesis and applied to a study area in the HRB. This workflow accounts for direct and cross spatial correlation between variables while decreases computational modeling time...