Online measuring density of oil products in annular regime of gas-liquid two phase flows. (December 2018)
- Record Type:
- Journal Article
- Title:
- Online measuring density of oil products in annular regime of gas-liquid two phase flows. (December 2018)
- Main Title:
- Online measuring density of oil products in annular regime of gas-liquid two phase flows
- Authors:
- Roshani, Gholam Hossein
Roshani, Sobhan
Nazemi, Ehsan
Roshani, Saeed - Abstract:
- Highlights: Dual modality densitometry technique and ANN were utilized. An experimental setup was designed in order to provide the required input data for training and testing the network. Density of liquid phase was predicted with error of less than 0.031 g/cm −3 in annular regime of two phase flows. Abstract: Gamma-ray densitometry is widely implemented in oil industry because it is an online technique and also has a good precision. If there is single phase flow in oil pipelines, measuring the density is possible just by using one source and one detector. But if in addition to oil, there is gas in oil pipelines and in fact there is a two-phase flow, conventional gamma ray densitometry (one source and one detector) could not be used for determining the density of liquid phase. In this study, a novel method is proposed for online measuring density of liquid phase in annular regime of liquid-gas two-phase flows using dual modality densitometry technique and artificial neural network (ANN). An experimental setup was designed in order to provide the required input data for training and testing the network. Registered counts in both scattering and transmission detectors were used as the inputs of the ANN and density of liquid phase was used as the output of the ANN. Using the proposed methodology, density of liquid phase was predicted with error of less than 0.031 g/cm −3 in annular regime of gas-liquid two phase flows for void fractions in the range of 10–70 percentages.
- Is Part Of:
- Measurement. Volume 129(2018)
- Journal:
- Measurement
- Issue:
- Volume 129(2018)
- Issue Display:
- Volume 129, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 129
- Issue:
- 2018
- Issue Sort Value:
- 2018-0129-2018-0000
- Page Start:
- 296
- Page End:
- 301
- Publication Date:
- 2018-12
- Subjects:
- Density -- Oil products -- Gamma ray -- Nuclear gauges -- Artificial neural network
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2018.07.026 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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