New intelligent models for predicting wax appearance temperature using experimental data – Flow assurance implications

INIS

• experimental data 100%
• waxes 100%
• prediction 22%
• datasets 22%
• vectors 16%
• least square fit 16%
• deposition 16%
• pour point 16%
• data 11%
• modeling 11%
• density 11%
• production 11%
• performance 5%
• roots 5%
• range 5%
• risks 5%
• accuracy 5%
• surfaces 5%
• testing 5%
• flow rate 5%
• petroleum 5%
• correlations 5%
• reduction 5%
• oils 5%
• algorithms 5%
• safety 5%
• errors 5%
• laboratories 5%
• neural networks 5%
• pipelines 5%
• fuzzy logic 5%
• crude oil 5%

Keyphrases

• Wax Appearance Temperature 100%
• Wax Deposition 27%
• Wax Content 18%
• Least-Square Support Vector Machine Model 18%
• Feature Selection Analysis 9%
• Fast Model 9%

Chemical Engineering

• Support Vector Machine 100%