Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/55919
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Type: Journal article
Title: Extended brigham model for residual oil saturation measurement by partitioning tracer tests
Author: Tang, Joseph Shek-Hung
Citation: SPE Journal, 2005; 10(2):175-183
Publisher: Society of Petroleum Engineers
Issue Date: 2005
ISSN: 1086-055X
School/Discipline: Australian School of Petroleum
Statement of
Responsibility: 
Joseph S. Tang
Abstract: Brigham’s model has been used extensively in the petroleum industry for the design and interpretation of interwell tracer tests. The model is based on correlation and has included physical dispersion as an input parameter. In spite of its limitations, the model is useful in estimating layer heterogeneity, layer distribution, permeability contrast, and dispersion in the reservoir. However, the model can only handle nonpartitioning tracers that have no solubility in oil. With the advancement in partitioning tracer technology and interpretation technique, interwell partitioning tracer testing has gained its popularity, especially in China,1 for determining residual oil saturation, Sorw, between wells. Partitioning tracer testing also finds its application in environmental protection, where tests are routinely run to determine the amount of nonaqueous liquid phase nonaqueous phase liquid (NAPL) trapped underground due to spill or seepage. While sophisticated streamline or finite difference simulators have been increasingly used to determine Sorw distribution from the tracer production data, the simple semiquantitative model still has its merits in providing a direct, unambiguous estimate of average Sorw along the tracer flow path. This paper broadens the scope of the original Brigham’s model by incorporating partitioning tracers into the model using a chromatographic transformation technique. By matching the partitioning and nonpartitioning tracer curves, Sorw can be determined by layers. The extended Brigham model was applied to the Ranger oilfield multiple tracer test, and the residual oil saturation determined compared favorably with those obtained by chromatographic transformation method and numerical simulation.
RMID: 0020092086
DOI: 10.2118/84874-PA
Appears in Collections:Australian School of Petroleum publications

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