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Field application of an interpretation method of downhole temperature and pressure data for detecting water entry in horizontal/highly inclined gas wells

机译:井下温度和压力数据解释方法在水平/高度倾斜气井中渗水检测的现场应用

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摘要

In the oil and gas industry today, continuous wellbore data can be obtained with highprecision. This accurate and reliable downhole data acquisition is made possible byadvancements in permanent monitoring systems such as downhole pressure andtemperature gauges and fiber optic sensors. The monitoring instruments are increasinglyincorporated as part of the intelligent completion in oil wells where they providebottomhole temperature, pressure and sometimes volumetric flow rate along thewellbore - offering the promise of revolutionary changes in the way these wells areoperated. However, to fully realize the value of these intelligent completions, there is aneed for a systematic data analysis process to interpret accurately and efficiently the rawdata being acquired. This process will improve our understanding of the reservoir andproduction conditions and enable us make decisions for well control and wellperformance optimization.In this study, we evaluated the practical application of an interpretation model,developed in a previous research work, to field data. To achieve the objectives, we developed a simple and detailed analysis procedure and built Excel user interface fordata entry, data update and data output, including diagnostic charts and graphs. Byapplying our interpretation procedure to the acquired field data we predicted temperatureand pressure along the wellbore. Based on the predicted data, we used an inversionmethod to infer the flow profile - demonstrating how the monitored raw downholetemperature and pressure can be converted into useful knowledge of the phase flowprofiles and fluid entry along the wellbore. Finally, we illustrated the sensitivity ofreservoir parameters on accuracy of interpretation, and generated practical guidelines onhow to initialize the inverse process. Field production logging data were used forvalidation and application purposes.From the analysis, we obtained the production profile along the wellbore; the fluidentry location i.e. the productive and non-productive locations along the wellbore; andidentified the fluid type i.e. gas or water being produced along the wellbore. Theseresults show that temperature and pressure profiles could provide sufficient informationfor fluid identity and inflow distribution in gas wells.
机译:在当今的石油和天然气行业中,可以高精度获取连续的井眼数据。借助永久监控系统(例如井下压力和温度计以及光纤传感器)的改进,可以实现这种准确而可靠的井下数据采集。在油井中,监测仪器越来越多地作为智能完井的一部分,它们在井眼中提供井底温度,压力以及有时沿井眼的体积流量,从而为这些井的工作方式带来了革命性的变化。但是,为了完全实现这些智能完井的价值,需要进行系统的数据分析过程,以准确,高效地解释所获取的原始数据。这个过程将增进我们对储层和生产条件的了解,并使我们能够做出控制井和优化性能的决策。在这项研究中,我们评估了在先前研究工作中开发的解释模型对油田数据的实际应用。为了实现这些目标,我们开发了一种简单而详细的分析程序,并构建了Excel用户界面,用于数据输入,数据更新和数据输出,包括诊断图表和图形。通过将解释程序应用于采集的现场数据,我们预测了沿井眼的温度和压力。基于预测的数据,我们使用了一种反演方法来推断流量剖面-展示了如何将所监测的原始井下温度和压力转换为相流剖面和沿井眼流体进入的有用知识。最后,我们说明了储层参数对解释准确性的敏感性,并就如何初始化反演过程产生了实用指导。现场生产测井数据用于验证和应用目的。通过分析,我们获得了沿井眼的生产剖面;流体进入位置,即沿井眼的生产位置和非生产位置;并确定沿井眼产生的流体类型,即天然气或水。这些结果表明,温度和压力曲线可以为气井中的流体识别和流量分布提供足够的信息。

著录项

  • 作者

    Achinivu Ochi I.;

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  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
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