Using Production Forecasting Uncertainty in the Economic Analysis of Multiple Producing Oil and Gas Properties

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Abstract/Contents

Abstract
Most owners of oil and gas producing properties realize that a significant amount of risk is inherent in their investments. Most also intuitively understand that if a number of producing assets are held, their total risk is somewhat reduced through the process of diversification. Since most investors are risk averse, they will, to some degree be willing to sacrifice a level of expected return for some reduction of risk. The question arises, however, as to how to quantify the effect of diversification within a portfolio of producing oil and gas assets. More importantly, if it is possible to quantify the effects of diversification within a portfolio of producing properties, is it also possible to quantitatively manage risk within a portfolio and strategically select specific properties for acquisition or disposition so as to optimize the total portfolio risk return relationship? In this thesis, it is shown that a model based on financial portfolio theory can be used to answer some of these questions by quantifying the risk and expected return of portfolios of oil and gas producing properties.

Description

Type of resource text
Date created August 1994

Creators/Contributors

Author Edwards, Robert A.
Primary advisor Hewett, Thomas A.
Degree granting institution Stanford University, Department of Petroleum Engineering

Subjects

Subject School of Earth Energy & Environmental Sciences
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Edwards, Robert A. (1994). Using Production Forecasting Uncertainty in the Economic Analysis of Multiple Producing Oil and Gas Properties. Stanford Digital Repository. Available at: https://purl.stanford.edu/bk433fc3791

Collection

Master's Theses, Doerr School of Sustainability

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