Isothermal pVTmeasurements on gas hydrocarbon mixtures using a vibrating-tube apparatus

Predictive models for density correction factor of natural gas and comparison with standard methods

“…X i s were selected within the ranges presented in Table 1. The experimental datasets (68 instances) along with other experimental datasets from literature (505 instances) [34][35][36][37] were only employed to validate suggested models.…”

“…Seventy percent of the datasets were randomly utilized in the training process and the rest was used in the processes of test and validation. As mentioned previously, the experimental datasets (68 instances form this study and 505 instances from literature [34][35][36][37]) were applied to investigate the performance of NGDC-ANN model, and were not employed in the construction of the suggested models. According to the universal approximation theory, an ANN model with a single hidden layer and a sufficiently large number of neurons can interpret any input-output neurons [38,39].…”

“…Therefore, the validity of these models applied in their particular operating conditions was evaluated by comparing with experimental data from this work (68 instances) and Refs. [34][35][36][37] (505 instances) through applying the statistical analyses like R 2 , MSE, and MAE presented in Table 4. Note that the experimental data utilized in Table 4 were not used in construction of NGDC-ANN model.…”

“…For this comparison, various natural gases introduced at this work and Refs. [34][35][36][37] at different operational conditions specified to each predictive model were evaluated to estimate C by applying R 2 , MSE and MAE. Observing results indicate that, however AGA8-GCM EOS applying lead to the higher R 2 and lower Table 4.…”