کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
666589 | 1458518 | 2014 | 11 صفحه PDF | دانلود رایگان |
• Flow regime is identified using differential pressure signal and elastic maps.
• Differential pressure PDF is a strong indicator of flow regime.
• Elastic map projections that are close to each other belong to the same flow regime.
• Present method is accurate, visual and easy to use.
A new method for the identification of flow regime in vertical upward gas–liquid flows has been proposed. It consists of an application of the elastic maps algorithm, which is a machine learning method, to the probability density function of differential pressure measurements in pipes. The proposed method was found to be insensitive to axial location of the measurements, pipe diameter within the range 13.9–49.2 mm and absolute pressure within the range 100–240 kPa; it is therefore amenable to relatively simple calibration in a calibration rig. Compared to three previously suggested machine learning algorithms, the present one had a superior performance in identifying the gas–liquid flow regime.
Figure optionsDownload as PowerPoint slide
Journal: International Journal of Multiphase Flow - Volume 61, May 2014, Pages 62–72