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Fall 2013

Mohammad Hassanpour, Rahman

The McMurray Formation contains complex geological features that were partially formed in a fluvial-estuarine depositional environment. These geological features that are interrelated to each other exist with different shapes, patterns, and sizes. The inclined heterolithic strata (IHS) formed as...

Spring 2022

Camana Calderon, Fernando Agustin

Drilling is the primary source of geological information in the form of rock samples for geological logging and chemical assays. There are data from multiple drilling types in an open-pit mining operation, with unique technical features, costs, volume support, and sampling error and bias. The...

Fall 2015

Lajevardi, Saina

Reservoir management requires high resolution numerical geologic models of facies and petrophysical properties. Facies are arguably the most important reservoir heterogeneity. Many geostatistical facies modeling techniques have been proposed during the years of heavily practiced geostatistics in...

Spring 2024

Kim, Jinpyo

Multiple data types should be used simultaneously to improve resource estimation models. The multivariate relationship between the data is required. One common approach involves using decorrelation transformation techniques to simplify complex relationships, but this method relies on having...

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 2021

Vincent, Jeremy D

Multiple-indicator kriging (MIK) manages outlier values through the indicator transform, it generates the distribution of uncertainty non-parametrically through direct estimation of the indicator-probability thresholds, and it readily incorporates secondary, categorical data into the estimate....

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 2016

Black, Warren E

Traditional approaches to mineral exploration rely on personal experience, conceptual genetic models, past exploration data, and geological characteristics found in analogous target deposit types to locate and evaluate prospective areas. With the increase in both size and complexity of datasets...