温度瞬态分析中遥测问题的解决

A. Dada, K. Muradov, Hong Wang, E. Nikjoo, E. Villarreal, D. Davies
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引用次数: 1

摘要

使用多个永久性井下传感器完成完井后的连续数据流创造了新的监测可能性。一种新的工作流程,TTA(温度瞬态分析)已被证明在分配流速和相切割以及分析近井地层性质方面特别有价值。然而,当仪表安装在远离生产层的地方时,测量到的温度信号会受到相当大的衰减。在进行TTA之前,必须考虑信号质量的这种损失。本文研究了井筒内传热对TTA的影响,评估了现有的瞬态井筒热模型,并建立了基于距离地层一定距离的测量仪测得的温度来重建地层温度的模型。研究了利用这些模型估计井筒和周围地层热物性的可能性。提出了两种解决遥测仪表问题的方法。第一种方法是根据退化的测温数据重建地表温度。研究人员发现,在提供精确的井筒模型的情况下,温度重建是可能的。可以使用数值、瞬态、热井筒模拟器和分析热井筒模型。解析式瞬态井筒热模型的数值反演是必要的,因为解析式反演的结果对测量温度的误差非常敏感,因此是不切实际的。第二种方法要求在最小化衰减的条件下进行生产。当瞬态温度信号“足够好”时,可以使用经验方法来量化传热效应。该方法还可以估算TTA的不确定性程度(由于井筒传热)。这项工作将TTA的应用范围扩大到以前无法进行分析的井,因为测量仪安装在远离生产层的井中。通过安装永久性井下仪表,TTA的扩展进一步增加了价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mitigation of the Remote Gauge Problem in Temperature Transient Analysis
The continuous stream of data from wells completed with multiple permanent, downhole sensors has created new monitoring possibilities. One new workflow, TTA (Temperature Transient Analysis) has proven to be particularly valuable for allocation of flow rates and phase cuts as well as for analysis of the properties of the near-wellbore formation. However, the measured temperature signal suffers considerable attenuation when the gauge is installed distant from the producing layer. This loss in signal quality has to be accounted for before carrying out TTA. This paper investigates the effect of heat transmission in the wellbore on TTA, evaluates existing transient thermal wellbore models and develops models to reconstruct the sandface temperature from the temperature measured by a gauge located at some distance from the sandface. The possibility of estimating the thermal properties of the wellbore and surrounding formation using these models is also studied. Two approaches are proposed for mitigating the remote gauge problem. The first approach reconstructs the sandface temperature from the degraded gauge temperature measurement data. Temperature reconstruction was found to be possible providing an accurate model of the wellbore is available. Both numerical, transient, thermal wellbore simulators and analytical thermal wellbore models may be used. Numerical inversion of the analytical transient thermal wellbore model is necessary since analytical inversion is impractical due to the result being very sensitivity to errors in measured gauge temperature. The second approach requires producing the well under conditions that minimize the attenuation. Empirical methods may be used to quantify the heat transfer effect, when conditions are such that the transient temperature signal is "good enough" for TTA. This approach also also allows estimating the degree of uncertainty (due to wellbore heat transfer) on the TTA. This work would extend the application of TTA to wells where analysis was previously impossible because the gauge was installed distant from the producing layer. This extension of TTA further increases the value-added by installing permanent downhole gauges.
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