Petroleum Science >2011, Issue 2: 157-162 DOI: https://doi.org/10.1007/s12182-011-0129-x
Experimental study of gas-water elongated bubble fl ow during production logging Open Access
文章信息
作者:Lu Jing and Wu Xiling
作者单位:
Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum, Beijing 102249, China; State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum, Beijing 102249, China;Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum, Beijing 102249, China; State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum, Beijing 102249, China
投稿时间:2010-05-04
引用方式:Lu, J. & Wu, X. Pet. Sci. (2011) 8: 157. https://doi.org/10.1007/s12182-011-0129-x
文章摘要
In order to improve the interpretation of production log data on gas-water elongated bubble (EB) flow in horizontal wells, a multi-phase flow simulation device was set up to conduct a series of measurement experiments using air and tap water as test media, which were measured using a real production logging tool (PLT) string at different deviations and in different mixed flow state s. By understanding the characteristics and mechanisms of gas-water EB flow in transparent experimental boreholes during production logging, combined with an analysis of the production log response characteristics and experimental production logging flow pattern maps, a method for flow pattern identifi cation relying on log responses and a drift-flux model were proposed for gas-water EB flow. This model, built upon experimental data of EB flow, reveals physical mechanisms of gas-water EB flow during measurement processing. Th e coeffi cients it contains are the specifi c values under experimental conditions and with the PLT string used in our experiments. These coefficients also reveal the interference with original downhole flow patterns by the PLT string. Due to the representativeness that our simulated flow experiments and PLT string possess, the model coefficients can be applied as empirical values of logging interpretation model parameters directly to real production logging data interpretation, when the measurement circumstances and PLT strings are similar.
关键词
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Horizontal wells, elongated bubble flow, flow patterns identification, drift-flux model, logging interpretation model