Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems
Exact determination of pressure-volume-temperature (PVT) properties of the reservoir oils is necessary for reservoir calculations, reservoir performance prediction, and the design of optimal production conditions. The objective of this study is to develop intelligent and reliable models based on mul...
Main Authors: | Aref Hashemi Fath, Farshid Madanifar, Masood Abbasi |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2020-03-01
|
Series: | Petroleum |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405656118301020 |
Similar Items
-
Comparison of multi layer perceptron (MLP) and radial basis function (RBF) for construction cost estimation: the case of Turkey
by: Savas Bayram, et al.
Published: (2016-04-01) -
PredAmyl-MLP: Prediction of Amyloid Proteins Using Multilayer Perceptron
by: Yanjuan Li, et al.
Published: (2020-01-01) -
Students’ learning habit factors during COVID-19 pandemic using multilayer perceptron (MLP)
by: Ibrahim, S., et al.
Published: (2021) -
Optimization of learning algorithms in multilayer perceptron (MLP) for sheet resistance of reduced graphene oxide thin-film
by: Aminuddin, N.A.B, et al.
Published: (2021) -
Development of an artificial neural network model for prediction of bubble point pressure of crude oils
by: Aref Hashemi Fath, et al.
Published: (2018-09-01)