Abstract
The volume fraction percentage measurement in multiphase flows is a vital need in the oil, gas and petroleum industries. Thus, diverse and precise techniques should be presented for achieving this purpose. In this research, the water-oil two-phase flows were simulated using the MCNPX code in operational and real conditions in the oil district of Kharg. A single source 137Cs and a NaI (Tl) detector were used to provide the required data for volume fraction prediction. Then, the ANN, Gaussian, Linear Regression, and Fourier techniques were applied to the acquired nuclear data in order to compare and identify the suitable and precise method for predicting the volume fraction. Using the ANN, Gaussian, Linear Regression, and Fourier techniques, the volume fraction was predicted with a mean relative error percentage of less than 8.71, 10.14, 16.07, and 12.45%, respectively. Also, the root mean square error quantities were calculated 1.05, 1.18, 1.36, and 1.27, respectively. The results reveal that the ANN method has superior in comparison with the other methods.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Articles in the same Issue
- Frontmatter
- Review
- Progress in solid state and coordination chemistry of actinides in China
- Original Papers
- Np(V) dicyanamide complexes with electroneutral N-donor ligands
- Comparison of the performance of solvent wash reagents used for the primary cleanup of degraded PUREX solvent
- 1-aza-18-crown-6 ether tailored graphene oxide for Cs(I) removal from wastewater
- Evaluation of nuclear data analysis techniques for volume fraction prediction in the flow meter
Articles in the same Issue
- Frontmatter
- Review
- Progress in solid state and coordination chemistry of actinides in China
- Original Papers
- Np(V) dicyanamide complexes with electroneutral N-donor ligands
- Comparison of the performance of solvent wash reagents used for the primary cleanup of degraded PUREX solvent
- 1-aza-18-crown-6 ether tailored graphene oxide for Cs(I) removal from wastewater
- Evaluation of nuclear data analysis techniques for volume fraction prediction in the flow meter