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Fall 2022

Yang, Di

Limited understanding of the complex subsurface brings uncertainty and risk of production shortfalls in the oilfield development. Geostatistics provides tools to model the geological uncertainty that occurs in reservoir decision making. The common decision criterion under uncertainty is to find...

Spring 2016

Donovan, Patrick N

Improving the accuracy of estimates is of great importance in the mining industry. These estimates can be improved with the use of available secondary data. This includes any less trusted data source containing bias and error such as production sampling, legacy drill holes, or cheaper lower...

Spring 2010

Alshehri, Naeem S.

A reliable estimate of the amount of oil or gas in a reservoir is required for development decisions. Uncertainty in reserve estimates affects resource/reserve classification, investment decisions, and development decisions. There is a need to make the best decisions with an appropriate level...

Fall 2009

Hosseini, Amir Hossein

Natural attenuation refers to the observed reduction in contaminant concentration via natural processes as contaminants migrate from the source into environmental media. Assessment of the dimensions of contaminant plumes and prediction of their fate requires predictions of the rate of dissolution...

Fall 2022

Sunday, Chuks A

To characterize a petroleum reservoir and to develop a reliable static and dynamic model for assessing resources and reserves, the rock and fluid properties of the subsurface formation are modeled. In most cases, multiple reservoir properties (categorical and continuous variables) are jointly...

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...

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 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,...

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 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...