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Evaluation of Material Balance Analysis Methods For Volumetric, Geopressured Gas Reservoirs

Authors: A.K. Ambastha;

Evaluation of Material Balance Analysis Methods For Volumetric, Geopressured Gas Reservoirs

Abstract

Abstract Material balance analysis of production performance data for an abnormally-pressured gas reservoir is complicated because of water and rock compressibility effects in addition to gas compressibility effects. Usually, a p/z vs. Gp graph for an abnormally pressured gas reservoir yields a significantly overestimated value of the initial gas-in-place. Several researchers have presented material balance analysis methods to obtain reasonably accurate estimates of the initial gas-in-place for abnormally-pressured gas reservoirs. These methods can be broadly grouped into two sets. The first set of methods requires a knowledge of compressibilities and analyzes production performance data to estimate the initial gas-in-place. The second set of methods attempts to obtain both an effective system compressibility and the initial gas-in-place by analyzing production performance data. This study presents an evaluation of several material balance analysis methods for volumetric, abnormally pressured gas reservoirs. The interrelationship between the initial gas-in-place estimates from the two methods by Hammerlindl(1) has been derived theoretically. Non-uniqueness problem in analyzing production performance data of abnormally-pressured gas reservoirs is emphasized. An example problem demonstrates that a small error in the initial reservoir pressure can account for a typical flat portion corresponding to the early production data on the Roach(2) plot. The preceding observation suggests that a hypothesis of changing formation compressibility with pressure as advanced by Poston and Chen(3) is not necessary to explain the shape of the Roach(2) plot. This paper should enhance an analyst's capabilities to perform meaningful material balance analysis of production performance data from an abnormally-pressured gas reservoir. Introduction Material balance analysis of production performance data for an abnormally-pressured gas reservoir should include water, rock, and gas compressibility effects. For a volumetric, abnormally-pressured gas reservoir, a p/z vs. Gp graph shows two straight lines of distinctly differenl slopes. An extrapolation based on an early straight line on a p/z vs. Gp graph for an abnormally pressured gas reservoir yields a significantly overestimated value of the initial gas-in-place. This paper discusses and evaluates several material balance analysis methods proposed for volumetric, abnormally- pressured gas reservoirs to obtain reasonably accurate estimates of the initial gas-in-place. Material Balance Analysis Methods All material balance analysis methods proposed for volumetric, abnormally-pressured gas reservoirs are based on a material balance equation of the following general form: Equation (Available In Full Paper) Different authors have used different expressions for effective system compressibility (Ce) depending on the drive mechanisms Incorporated In their analyses. The following discusses the two sets of methods proposed for analyzing production performance data for abnormally-pressured gas reservoirs. Methods Based on a Knowledge of System Compressibility Hammerlindl(1) presented two melhods to correct apparent gas-in-place (Gapp) obtained from an extrapolation of early straight line on a p/z vs. Gp graph for an abnormally-pressured gas reservoir. Using two pressures, Pi and P2, actual gas-in-place (Gact) is computed according to Hammerlindl's(1) method I as: <Equation Available In Full Paper>

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BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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