Abstract Leakage flow carrying solid particles from a two-layer pipe system is widely encountered in the oil and gas industry. In this paper, the identification of particle-gas leakage flow from an inner pipe was developed, and leak point simulation equipment was designed. Typical statistical vibration time-behavior and time-frequency joint analyses were applied to characterize the particle leakage signal. Verification experiments were performed, and a sand particle identification frequency band from 10.2–10.95 kHz was discovered. Additionally, good agreement was found for sand particle (150 μm) identification from the leakage gas flow at different leak points (diameters from 2 to 8 mm) under different release pressures (from 0.4 to 0.8 MPa). The sand vibration energy from one leak point increased with released pressure and leak size, while for two leak points, the sand vibration energy is more sensitive to the first point and decreases with the diameter of the second point.

中文翻译：

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基于颗粒-壁面相互作用的气体管流固体颗粒泄漏振动传感器方法

摘要 在油气工业中广泛存在着两层管道系统中携带固体颗粒的泄漏流。本文开发了一种内管颗粒气体泄漏流的辨识方法，并设计了泄漏点模拟装置。典型的统计振动时行为和时频联合分析被应用于表征颗粒泄漏信号。进行了验证实验，发现了 10.2-10.95 kHz 的沙粒识别频段。此外，在不同释放压力（0.4 至 0.8 MPa）下，不同泄漏点（直径为 2 至 8 毫米）的泄漏气流中的沙粒（150 微米）识别具有良好的一致性。一个泄漏点的砂振动能量随着释放的压力和泄漏尺寸而增加，