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Fall 2019

de Barros, George

A numerical reservoir model is the result of studies whose main objective is to describe the dynamic behaviour of a hydrocarbon reservoir for predicting its future performance under different development and production strategies. Reservoir models are built with uncertain parameters. The...

Spring 2020

Kumara, Paolo Christmasdato

Geostatistical modeling used to focus on the grade of the main commodity or metal being mined and sold for profit. As mining has developed, the metallurgical characteristics of the rock have become important. Geometallurgy tests are developed to understand the processing characteristics of the...

Spring 2017

Rezvandehy, Mehdi

An important challenge in reservoir management is establishing reliable numerical geological models of all required flow parameters including facies, porosity and permeability. These numerical models are driven by conceptual geology, seismic, production and well data that are widely spaced early...

Fall 2010

Manchuk, Johnathan Gregory

A challenge in petroleum geostatistics is the application of modeling algorithms such as Gaussian simulation to unstructured grids that are being used for flow simulation. Geostatistical modeling is typically applied on a fine scale regular grid and then upscaled to the unstructured grid. This...

Spring 2018

Prades, Carlos

This thesis addresses challenges in geostatistical analyses of multivariate geochemical data that commonly contain complexities that have a significant influence on geostatistical modeling and cluster analysis. For geostatistical modeling, the effect of the most common despiking methods is...

Spring 2013

Niven, Eric B

A common problem in naturally fractured reservoirs (NFRs) is a lack of data caused by few wells; or at least, few wells with core or borehole images. Secondary data (such as seismic) can be used to improve predictions of fracture intensity in between the wells. Common geostatistical techniques...

Spring 2010

Boisvert, Jeff

Many geological deposits contain nonlinear anisotropic features such as veins, channels, folds or local changes in orientation; numerical property modeling must account for these features to be reliable and predictive. This work incorporates locally varying anisotropy into inverse distance...

Fall 2010

Machuca-Mory, David Francisco

In Geostatistical modelling of the spatial distribution of rock attributes, the multivariate distribution of a Random Function defines the range of possible values and the spatial relationships among them. Under a decision of stationarity, the Random Function distribution and its statistics are...

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...

Fall 2013

Khajeh, Mohammad Mehdi

Geomechanical processes occurring during steam assisted gravity drainage (SAGD) thermal recovery influence petrophysical and rock mechanical properties of both reservoir and caprock formations. While geostatistical techniques provide multiple equi probable geological realizations for...