Error Analysis of Material Balance Equations for Large Gas Cap Reservoirs

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Abstract/Contents

Abstract
Material balance calculations require reliable pressure data, especially with respect to large gas cap reservoirs. Because of the relatively large expansion of gas compared to oil, material balance equation (MBE) calculations for such reservoirs can result in large errors even though errors in pressure data may at first seem insignificant. This study investigates by statistical straight line methods the uncertainty in initial tank oil in place caused by errors in production and oil and gas expansions. For simplicity and to maintain emphasis on the determination of oil in place, water influx into the reservoir has been considered as nil.Various material balance arrangements have been proposed in recent years to predict oil in place in the presence of a gas cap. This study reviews several statistical methods for making material balance calculations. Some methods reduce the effect of data error in their calculation procedure. Others are strongly affected by the nature of the fluid properties with respect to pressure. Selection of the best form of the MBE for predicting initial oil in place and the ratio of initial free gas to initial oil in place depend on fluid property data and this ratio of the reservoir under study.

Description

Type of resource text
Date created June 1973

Creators/Contributors

Author Frye, George Albert
Primary advisor Miller, Frank G.
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
Frye, George Albert. (1973). Error Analysis of Material Balance Equations for Large Gas Cap Reservoirs. Stanford Digital Repository. Available at: https://purl.stanford.edu/dk802fs5284

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Master's Theses, Doerr School of Sustainability

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