Determining Produced Fluid Properties for Accurate Production Profiling During a Drill Stem Test Using Thermal Imaging Technology.

D. Lavery, D. Fyfe, A. Hasan
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Abstract

This paper describes the use of a Downhole Temperature Sensor Array, during a commingled Drill Stem Test, to accurately determine the density of the produced fluids. In a typical Drill Stem Test, using only downhole pressure gauges, any fluid contacts between the pressure gauges would be missed and the produced fluid density calculated would be erroneous. Accurate calculation of the produced fluid densities is of great importance to the reservoir engineer since it forms a critical component of the equations of state used in the modelling of the reservoir. The main purpose of this paper is to show that knowledge of the produced fluid densities from each of the perforated intervals provides a more robust calculation of the zonal flowrate contributions using conservation of mass principles. In this case study, the well was produced across three intervals with the deepest perforated interval producing a fluid with a higher density than the shallower perforated intervals. The higher density of the produced fluid from this deeper interval caused the wellbore fluids to slug during the flow periods with a measureable response in the pressure and temperature data. If this difference in the fluid properties is not taken into account then the zonal allocation flowrate will be in error since it relies on the density and specific heat capacity. Qualitative assessment of the temperature array data identified the producing zones and clearly highlighted the different fluid interfaces in detail that would remain hidden if relying solely on the pressure gauges. This method is enabled by the deployment of a Downhole Temperature Sensor Array consisting of an array of discrete electronic temperature sensors alongside the TCP guns, generating continuous thermal profiles across the three intervals. This is augmented by a wireless data system of pressure points. All the data is collected real time throughout the entire Drill Stem Test.
在钻柱测试过程中,利用热成像技术确定产出流体的性质,以获得准确的生产剖面。
本文介绍了在混合钻杆测试中使用井下温度传感器阵列来准确确定产出流体的密度。在典型的钻杆测试中,仅使用井下压力表,压力表之间的任何流体接触都会被遗漏,并且计算出的产液密度也会出错。产液密度的精确计算对油藏工程师来说非常重要,因为它构成了油藏建模中使用的状态方程的关键组成部分。本文的主要目的是证明,利用质量守恒原理,了解每个射孔段的产液密度,可以更可靠地计算出层间流量的贡献。在这个案例中,该井在三个井段进行了生产,其中最深的射孔段产生的流体密度高于较浅的射孔段。从更深的井段产出的流体密度较高,导致井筒流体在流动期间发生段塞,并在压力和温度数据中产生可测量的响应。如果不考虑流体性质的这种差异,那么分层分配流量将是错误的,因为它依赖于密度和比热容。对温度阵列数据的定性评估确定了产层,并清晰地突出了不同的流体界面,如果仅仅依靠压力表,这些界面可能会被隐藏。该方法通过在TCP射孔枪旁部署一个由离散电子温度传感器阵列组成的井下温度传感器阵列来实现,可以在三个井段产生连续的热剖面。无线压力点数据系统增强了这一功能。在整个钻杆测试过程中,所有数据都是实时收集的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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