E. Nemati Lay and M. Peymani and E. Sanjari
Prediction of Natural Gas Viscosity using Artificial Neural Network Approach
577 - 583
2012
6
7
International Journal of Chemical and Molecular Engineering
https://publications.waset.org/pdf/7460
https://publications.waset.org/vol/67
World Academy of Science, Engineering and Technology
Prediction of viscosity of natural gas is an important parameter in the energy industries such as natural gas storage and transportation. In this study viscosity of different compositions of natural gas is modeled by using an artificial neural network (ANN) based on backpropagation method. A reliable database including more than 3841 experimental data of viscosity for testing and training of ANN is used. The designed neural network can predict the natural gas viscosity using pseudoreduced pressure and pseudoreduced temperature with AARD of 0.221. The accuracy of designed ANN has been compared to other published empirical models. The comparison indicates that the proposed method can provide accurate results.
Open Science Index 67, 2012