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Diagnosis of Acid Placement from Downhole Temperature Measurements

机译:通过井下温度测量诊断酸度

摘要

Placement of a sufficient volume of acid in all desired zones is critical for a successful acid stimulation treatment. Particularly in thick, highly heterogeneous carbonate formations, the acid distribution is crucial for optimal stimulation results. A variety of diversion methods are applied in acidizing treatments to evenly place acid along the well, but the effectiveness of these diversion methods is generally only inferred from the rate and pressure behavior during the treatment, and is not known with any certainty. Recently, distributed temperature sensing technology has enabled us to observe dynamic temperature profiles along the wellbore during and immediately following an acid treatment. This technology allows us to monitor and evaluate treatments and diversion methods in real-time and to capture a sequence of temperature profiles at different times during and after acid injection.We developed a transient thermal model for reservoir, coupled with a wormhole penetration model. Then the reservoir model is combined with a vertical well temperature model as the forward model, which can predict the temperature behavior inside formation and wellbore during and after a treatment. We applied the forward model in a synthetic two-layer example, and it shows that the temperature increase caused by the reaction between acid and carbonate rock indicates the acid distribution.An inversion model was also developed to analyze the temperature data measured after treatments to obtain the acid flow profile for a vertical well. The inversion method applied in this work is Markov chain Monte Carlo (MCMC) method, which is a stochastic method to search globally for possible results. We discuss the approach to realize the inversion procedure and to make the inversion more efficient.We also applied the comprehensive thermal model for hypothetical cases and field cases. The results from the inverse model give us quantitative understanding of acid distribution, which helps us to confirm the success of the acid treatment and diversion methods.
机译:在所有所需区域中放置足够量的酸对于成功进行酸刺激处理至关重要。特别是在稠密,高度非均质的碳酸盐岩地层中,酸分布对于获得最佳增产效果至关重要。在酸化处理中应用了多种转移方法,以沿井眼均匀地放置酸,但是这些转移方法的有效性通常只能从处理过程中的速率和压力行为中推断出来,并且不确定。最近,分布式温度传感技术使我们能够在酸处理期间和之后立即观察沿井眼的动态温度曲线。这项技术使我们能够实时监测和评估处理方法和转移方法,并在注入酸期间和注入之后的不同时间捕获一系列温度曲线。我们开发了储层的瞬态热模型以及虫洞渗透模型。然后将储层模型与垂直井温度模型作为正向模型相结合,可以预测处理期间和之后地层和井筒内部的温度行为。我们在合成的两层实例中应用了正向模型,结果表明由酸和碳酸盐岩之间的反应引起的温度升高表明了酸的分布。还建立了反演模型来分析处理后测得的温度数据,以获得垂直井的酸流量曲线。在这项工作中应用的反演方法是马尔可夫链蒙特卡洛(MCMC)方法,这是一种随机方法,可以在全局范围内搜索可能的结果。我们讨论了实现反演程序并提高反演效率的方法。我们还对假设案例和现场案例应用了综合热模型。逆模型的结果使我们对酸的分布有了定量的了解,这有助于我们确认酸处理和转移方法的成功。

著录项

  • 作者

    Tan Xuehao;

  • 作者单位
  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 en_US
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