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LEAK DETECTION SYSTEMS FOR MULTIPHASE FLOW― MOVING FORWARD

机译:用于多相流动的泄漏检测系统向前移动

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Multiphase flow is one of the most difficult situations for leak detection in pipelines, due to several reasons: the existence of two different and independent flow rates at each phase, five or more possible flow patterns, different fluid velocities at the phases, and sometimes a non-Newtonian associated behavior, due to the formation of an oil-water emulsion. There are two main groups for leak detection techniques: the models (or CPM, as stated in [API_1130]) which monitor the flow in real time (CVB, RTTM, PPA, etc.) from inside the pipeline (the instrument sensor is actually in physical contact with the fluid), and try to model the flow using a state estimator; and those based on dedicated external sensors (thermal, mass dispersion, etc) along the pipeline. Most of the technologies at the first group rely entirely on volumetric flow rate measurements, which turn them quite ineffective for multiphase flow. It is also relevant to consider that in some multiphase flow pipelines, the flow pattern changes quite random and intensively, allowing from a bubble pattern, to a slug pattern. There is sometimes the situation where a gas slug is big enough to fill entirely a short line and allow it to behave similarly to a gas pipeline, during a certain time (in fact, this was the case of one of the field tests this work will describe). This will bring unpredictability to those lines, in opposition to a regular single-phase line. Within this frame, the systems based on prediction approaches (hydraulic, statistical, etc, i. e., CPM's), will show a good probability to be unreliable, inaccurate and not sensitive. The acoustic system is an exception to those two groups of technologies previously mentioned. It has, on one hand, a sensor that really touches the fluid (which would suggest it to be within the first group), but there's no flow model behind it, on the other hand, but an acoustic sign analysis algorithm, acting somewhat like a piece of hardware. This paper will describe, discuss and report data for tests using an acoustic leak detection system at three different multiphase flow pipelines in Brazil, managed by PETROBRAS Production & Exploration Department.
机译:由于几种原因:由于几个原因:在每个阶段,五种或更多种可能的流动模式,阶段的不同流体速度存在两种不同和独立的流速的存在之一,存在两种不同和独立的流速的存在之一。非牛顿相关行为,由于制油乳液的形成。有两个主要组用于泄漏检测技术:模型(或CPM,如[API_1130]中所述),其在管道内部实时监控流量(CVB,RTTM,PPA等)(仪器传感器实际上与流体的物理接触),并尝试使用状态估计器来模拟流量;并且基于管道基于专用外部传感器(热敏,质量分散等)。第一组的大多数技术完全依赖于体积流量测量,这使它们非常无效地对多相流量无效。考虑到在一些多相流动管道中,流动模式也是如此,流动模式非常随机地变化,允许从气泡图案到散布图案。有时候燃气块足够大的情况,足以完全填充短线并允许它与煤气管道类似地,在一定时间内(其实这是其中一个现场测试的情况这项工作描述)。这将对这些行带来不可预测性,反对常规单阶段。在该帧中,基于预测方法的系统(液压,统计等,I.e。,CPM),将显示出不可靠,不准确且不敏感的良好概率。声学系统是前面提到的两组技术组的例外。一方面,它有一个真正触及流体的传感器(这将建议它在第一组内),但它背后没有流动模型,另一方面,但声标志分析算法,表现出一些类似的一块硬件。本文将描述,讨论和报告使用巴西三种不同多相流水管道的声泄漏检测系统进行测试的数据,由Petrobras生产和勘探部门管理。

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