Prediction of natural gas hydrate inhibitor vaporization rate using particle swarm optimization approach
Author:
Affiliation:
1. EOR/IOR Research Institute, Tehran, Iran
2. Young Researchers and Elite Club, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
3. School of Environment, Science and Engineering, Southern Cross University, Lismore, NSW, Australia
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2014.975298
Reference44 articles.
1. Neural network based unified particle swarm optimization for prediction of asphaltene precipitation
2. Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs
3. Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach
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