Distributed Thermo-Anemometer Data Processing for Wellbore Fluid Phase Determination

Ekaterina V. Kolodezeva, I. Sofronov
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Abstract

Data considered were temperature measured by the PLT -9.2 module and thermo-anemometry data measured by the PLT-0.6.3 module. The data were obtained from well production logging in a low-rate horizontal well. On the basis of an analysis of a 12-s thermo-anemometry measurement cycle, we propose a fast and automated fluid phase determination algorithm. The algorithm uses only 2 s of the cycle to reduce the risk of phase changes during measurements. Tests on field data consisting of approximately 1,500 cycles demonstrate stable fluid phase determination of water, oil, and gas. A comparison with expert interpretation of the same field data showed good agreement, with discrepancies between two interpretations primarily occurring during phase changes.
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用于井筒流体相测定的分布式热风速计数据处理
考虑的数据是PLT -9.2模块测量的温度和PLT-0.6.3模块测量的热风速数据。该数据来自一口低排量水平井的生产测井。在分析12 s热风速测量周期的基础上,提出了一种快速、自动化的液相测定算法。该算法仅使用2秒的周期,以减少测量过程中相位变化的风险。对大约1500次循环的现场数据进行测试,证明了水、油和气的稳定流体相测定。与同一现场资料的专家解释的比较显示出良好的一致性,两种解释之间的差异主要发生在相位变化期间。
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