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首页> 外文期刊>SPE journal >A Simple and Reliable Approach for the Estimation of the Joule-Thomson Coefficient of Reservoir Gas at Bottomhole Conditions
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A Simple and Reliable Approach for the Estimation of the Joule-Thomson Coefficient of Reservoir Gas at Bottomhole Conditions

机译:一种简单可靠的井底条件下储层瓦斯焦耳-汤姆森系数估计方法

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摘要

With the advent of distributed temperature sensing (DTS), accurate and continuous monitoring of the wellbore-temperature profile is possible, which helps identify fluid flow from each reservoir layer. The reliable prediction of fluid flow during large drawdown requires an accurate value of the Joule-Thomson coefficient (JTC), which is a measure of the change in temperature (T) of a fluid for a given change in pressure (P) at constant enthalpy. The JTC also serves as an input for the interpretation of temperaturelog data, which can be used to identify water- or gas-entry locations. Furthermore, an accurate JTC value is important when modeling the thermal response of the reservoir. The equation-of-state (EOS) method can be used to predict the JTC of reservoir gas. However, this might not be an easy task because of the complexity involved. In contrast, a simple and reliable method to evaluate the JTC for reservoir gas is presented. Conditions under which this method is applicable are discussed in detail by referring to a typical phase diagram. In addition, a discretized approach to calculate the temperature change during a throttling process with the JTC is also presented. The methodology has been validated at three levels with experimental data available in the literature-comparison of experimental vs. predicted JTC values of mixtures, comparison of experimentally observed vs. predicted temperature drop for a given pressure drop with laboratory-scale data, and comparison of experimentally observed vs. predicted temperature drop for a given drawdown with actual reservoir data. A good match with experimental data was obtained within all three areas, demonstrating the reliability of the methodology.
机译:随着分布式温度传感(DTS)的出现,可以精确连续地监控​​井眼温度曲线,这有助于识别来自每个储层的流体流动。在大压降下,要可靠地预测流体流量,需要准确的焦耳-汤姆森系数(JTC)值,这是在恒定焓下给定压力(P)下流体温度(T)变化的量度。 JTC还可作为温度记录数据解释的输入,可用于识别水或气体进入位置。此外,在对储层的热响应进行建模时,准确的JTC值很重要。状态方程(EOS)方法可用于预测储层气的JTC。但是,由于涉及的复杂性,这可能不是一件容易的事。相比之下,提出了一种简单可靠的方法来评估储层气JTC。通过参考典型的相图详细讨论了该方法适用的条件。此外,还提出了一种离散化的方法来计算JTC在节流过程中的温度变化。该方法已在三个级别上得到了验证,包括文献中提供的实验数据,包括混合物的实验JTC值与预测JTC值的比较,给定压降下实验观察到的温度下降与预测温度的比较以及实验室规模数据的比较。在实际储层数据的情况下,对于给定的压降,实验观察到的温度与预测的温度下降的关系在所有三个方面都获得了与实验数据的良好匹配,证明了该方法的可靠性。

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  • 来源
    《SPE journal》 |2013年第5期|960-968|共9页
  • 作者单位

    Production Enhancement-R&D team at Halliburton Technology Center,Pune, India;

    Production Enhancement-R&D team at Halliburton Technology Center, Pune, India;

    Production Enhancement at Halliburton R&D Center, Pune;

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  • 正文语种 eng
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