Sentence examples for pipeline condition from inspiring English sources

Waterproof accelerometers were used to collect pipeline responses which were subsequently analyzed for pipeline condition monitoring.

Waves that propagate at low frequencies in buried pipes are of considerable interest in a variety of practical scenarios, for example leak detection, remote pipe detection, and pipeline condition assessment and monitoring.

With advanced sensing technologies, data on pipeline condition can be used to develop a risk-based model for pipe replacement projects.

In this work, both commercially available surfactants and synthesized anti-agglomerants were tested in high-pressure apparatuses at typical pipeline conditions.

The analysis includes compression from low pressure, after the captures process, to the pipeline conditions in the dense phase of 150 bar.

To achieve safe operations with higher efficiencies, it is essential to acquire better understanding of pipeline conditions in-process, which benefits operation planning and decision making.

Measurements were performed in a 2.5″ diameter Perspex pipe at stream velocities between 0.2 ms−1 and 1.47 ms−1, to mimic typical pipeline conditions.

The results show that careful initial calibration, in accord with the pipeline conditions recommended in international standards, enables errors of under 1% to be achieved.

However the characteristics of leak signals and noises are not fixed in various pipeline conditions, so the existing EMD noise cancellation methods can't be directly applied in water-supply pipeline leak detection.

The damages to the pipeline, the fishing gear, and ship are depend greatly on the type of fishing gear and the pipeline conditions, such as the weight and velocity of the fishing gear and the wall thickness, coating, and flexibility of the pipeline.

Whereas the existing models predicted with relative errors varying between 10 and 127% (depending on product and pipeline conditions), the new developed model resulted in predictions within 24% accuracy for a wide range of scale-up conditions, which provides better reliability and a narrower range of predictions, more suitable for industrial scale up requirements.