Journal Title
Title of Journal: Pet Sci
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Abbravation: Petroleum Science
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Publisher
China University of Petroleum (Beijing)
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Authors: Zaibin Liu Xiling Wu
Publish Date: 2012/08/17
Volume: 9, Issue: 3, Pages: 303-309
Abstract
Petroleum production logging needs to determine the interpretation models first and flow pattern identification is the foundation but traditional flow pattern identification methods have some limitations In this paper a new method of flow pattern identification in oil wells by electromagnetic image logging is proposed First the characteristics of gaswater and oilwater flow patterns in horizontal and vertical wellbores are picked up Then the continuous variation of the two phase flow pattern in the vertical and horizontal pipe space is discretized into continuous fluid distribution models in the pipeline section Second the electromagnetic flow image measurement responses of all the eight fluid distribution models are simulated and the characteristic vector of each response is analyzed in order to distinguish the fluid distribution models Third the time domain changes of the fluid distribution models in the pipeline section are used to identify the flow pattern Finally flow simulation experiments using electromagnetic flow image logging are operated and the experimental and simulated data are compared The results show that the method can be used for flow pattern identification of actual electromagnetic image logging data
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