利用卡箍式声纳流监测技术监测和优化成熟油田生产

A. Hussein, M. Alqassab, Hazem Atef, Siddesh Sirdhar, Salem Al-Ajmi, Khaled Waleed Aldeyain, M. F. Hassan, H. K. Goel
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引用次数: 1

摘要

乌姆古代尔(UG)油田是西科威特主要油田之一。使用多个常规测试分离器对井进行定期测试,随后使用数据更新井性能“节点分析”和“现场流动线地面网络模型”。2018年,在中东的一个成熟油田测试了一种不同的方法,以评估基于Clamp-On的声纳流量监测解决方案与现有传统便携式测试分离器的有效性。目的是在不同的流动条件下,检查声呐流量监测系统在黑油井上的性能,并最终实施一种新的方法,以增加测试频率,减少潜在的碳氢化合物释放,避免停井,优化运营成本,优化生产。SONAR监测方法是基于声纳夹紧式流量计,结合油气井的组成(PVT)和多相流模型,解释声纳流量计在管道条件下(压力、温度、流体组成)的测量结果,并输出实际和标准条件下的气、油和水相流速。声纳仪表测量总体流速(在管线条件下),然后流动计算机使用PVT模型和含水率确定实际条件下的单个相体积分数。这提供了实际条件下出油速率的度量。用黑油模型计算的收缩系数来报告标准条件下的油率。天然气和水也以类似的方式推断出来。因此,在实际条件下确定的气、油和水的流量将进一步处理并转换为标准条件。现场测试表明,SONAR流量监测方法在现场安装方面具有更大的灵活性,并且与其他可能引入额外流量限制的设备不同,该方法可以在实际生产条件下进行测量。与使用重力分离器时观察到的“平均”效果相比,SONAR仪表诊断还提供了更真实的井流剖面表示。这可以更好地监控生产并了解井的动态变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mature Oilfield Production Surveillance and Optimization Using Clamp-On Sonarflow Surveillance
Umm Gudair (UG) field is one of the major oil fields of West Kuwait asset. Wells are tested periodically using multiple conventional test separators and data is subsequently used to update Well Performance "Nodal analysis" and "Live Flow Line Surface Network Model". A different approach was tested in 2018 for a mature oil field in the Middle East to evaluate the effectiveness of Clamp-On based SONAR Flow Surveillance solution against existing conventional portable test separator. The objective was to check the performance of the SONAR Flow Surveillance on black oil wells at different flowing conditions, and ultimately implement a new approach to increase the testing frequency, reduce any potential of hydrocarbon release, avoid well shutdown, optimize operating costs, and production optimization. The SONAR Surveillance approach is based on SONAR clamp-on flow meters deployed in conjunction with compositional (PVT) and multiphase flow models for oil and gas wells to interpret the measurements of the SONAR flow meters at line conditions (pressure, temperature, fluid stream composition), and output the gas, oil and water phase flow rates at both actual and standard conditions. The SONAR meter measures the bulk flow velocity (at line conditions), then a flow computer determines the individual phase volume fractions at actual conditions using a PVT model and water-cut. This provides a measure of the oil rate at actual conditions. A shrinkage factor calculated by the black oil model is applied to report oil rate at standard conditions. Gas and water are also inferred in a similar manner. The gas, oil and water flow rates thus determined at actual conditions are further processed and converted to standard conditions as well. The field tests showed that the SONAR Flow Surveillance approach allowed more flexibility in terms of field installation and the measurements are made at actual production conditions unlike other devices that may introduce additional flow restrictions. The SONAR meters diagnostics also provided a more realistic representation of the well flow profile since the measurements are instantaneous versus the "averaging" effects observed when using gravity-based separators. This allows better production surveillance and understanding of changes in well behavior.
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