Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1999. / Includes bibliographical references (p. 94-99). Original electronic version available via Internet.

This thesis presents the development of a semi-analytical technique that can be used to estimate the gas-in-place for volumetric gas reservoirs. This new methodology utilizes plotting functions, plots, extrapolations, etc. - where all analyses are based on the following governing identity. The 'governing identity' is derived and validated by others for pi less than 6000 psia. We have reproduced the derivation of this result and we provide validation using numberical simulation for cases where pi greater than 6000 psia. The relevance of this work is straightforward using a simple governing relation, we provide a series of plotting functions which can be used to extrapolate or interpret an estimate of gas-in-place using only production data (qg and Gp). The proposed methodology does not require a prior knowledge of formation and or fluid compressibility data, nor does it require average reservoir pressure. In fact, no formation or fluid properties are directly required for this analysis and interpretation approach. The new methodology is validated demonstrated using results from numerical simulation (i.e., cases where we know the exact answer), as well as for a number of field cases. Perhaps the most valuable component of this work is our development of a "spreadsheet" approach in which we perform multiple analyses interpretations simultaneously using MS Excel. This allows us to visualize all data plots simultaneously - and to "link" the analyses to a common set of parameters. While this "simultaneous" analysis approach may seem rudimentary (or even obvious), it provides the critical (and necessary) "visualization" that makes the technique functional. The base relation (given above) renders different behavior for different plotting functions, and we must have a "linkage" that forces all analyses to "connect" to one another. The proposed multiplot spreadsheet approach provides just such a connection.

Thesis (MReg & UrbPlan)--University of South Australia, 1998

Thesis (M.U.R.P. 1979) from the Department of Architecture, University of Adelaide.

Thesis (Ph.D.)--University of Adelaide, Depts. of Applied Mathematics, Environmental Science and Management, 2000? / Bibliography: leaves 170-179.

Thesis (Ph. D.)--Faculty of Agriculture, Food & Natural Resources, University of Sydney, 2007. / Title from title screen (viewed on August 9, 2007). Includes graphs, tables. Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the Faculty of Agriculture, Food and Natural Resources. Bibliography: leaves 304-313. Also issued in print.

Thesis (doctoral)--Universität Göttingen.

Thesis (M.A.)--University of Wisconsin--Madison, 1969. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1981. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 319-333).

Thesis (M.S.)--Brigham Young University. Dept. of Geological Sciences, 2007. / Includes bibliographical references (p. 32-36).