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Journal Articles

Application of Artificial Neural Network–Particle Swarm Optimization Algorithm for Prediction of Gas Condensate Dew Point Pressure and Comparison With Gaussian Processes Regression–Particle Swarm Optimization Algorithm

Abbas Khaksar Manshad, Habib Rostami, Seyed Moein Hosseini, Hojjat Rezaei

J. Energy Resour. Technol. May 2016, 138(3): 032903.

Paper No: JERT-14-1223

DOI: https://doi.org/10.1115/1.4032226

Published Online: January 11, 2016

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Topics: Artificial neural networks, Condensed matter, Particle swarm optimization, Algorithms, Pressure, Reservoirs, Temperature

Journal Articles

Application of Artificial Neural Network-Particle Swarm Optimization Algorithm for Prediction of Asphaltene Precipitation During Gas Injection Process and Comparison With Gaussian Process Algorithm

Abbas Khaksar Manshad, Habib Rostami, Hojjat Rezaei, Seyed Moein Hosseini

J. Energy Resour. Technol. November 2015, 137(6): 062904.

Paper No: JERT-14-1291

DOI: https://doi.org/10.1115/1.4031042

Published Online: July 27, 2015

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Topics: Algorithms, Artificial neural networks, Particle swarm optimization, Particulate matter, Precipitation, Weight (Mass), Pressure, Hydrocarbon reservoirs, Optimization algorithms

Journal Articles

A New Support Vector Machine and Artificial Neural Networks for Prediction of Stuck Pipe in Drilling of Oil Fields

Habib Rostami, Abbas Khaksar Manshad

J. Energy Resour. Technol. June 2014, 136(2): 024502.

Paper No: JERT-13-1210

DOI: https://doi.org/10.1115/1.4026917

Published Online: April 9, 2014

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Topics: Artificial neural networks, Drilling, Pipes, Support vector machines, Oil fields

Journal citation

NARROW

Application of Artificial Neural Network–Particle Swarm Optimization Algorithm for Prediction of Gas Condensate Dew Point Pressure and Comparison With Gaussian Processes Regression–Particle Swarm Optimization Algorithm

Application of Artificial Neural Network-Particle Swarm Optimization Algorithm for Prediction of Asphaltene Precipitation During Gas Injection Process and Comparison With Gaussian Process Algorithm

A New Support Vector Machine and Artificial Neural Networks for Prediction of Stuck Pipe in Drilling of Oil Fields

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Application of Artificial Neural Network–Particle Swarm Optimization Algorithm for Prediction of Gas Condensate Dew Point Pressure and Comparison With Gaussian Processes Regression–Particle Swarm Optimization Algorithm

Application of Artificial Neural Network-Particle Swarm Optimization Algorithm for Prediction of Asphaltene Precipitation During Gas Injection Process and Comparison With Gaussian Process Algorithm

A New Support Vector Machine and Artificial Neural Networks for Prediction of Stuck Pipe in Drilling of Oil Fields

Journals

Conference Proceedings

eBooks

Resources

Opportunities

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