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The effects of a hybrid nanofluid (Cu-Al layered double hydroxide (LDH)) on the CO 2 hydrate formation kinetics was investigated at three different nanofluid concentrations (0.25-1.0 wt %). The Cu-Al LDH nanofluid was prepared using a one-step co-precipitation technique. The addition of the LDH nanofluid reduces the induction time and enhances the hydrate formation kinetics. The maximum reduction in the induction time (by 91.08 %) was observed at the optimal nanofluid concentration of 0.5 wt %, compared to water. A chemical affinity model was implemented to predict the experimental data for CO 2 hydrate formation in the presence of the different LDH nanofluid concentrations. An artificial neural network-based Levenberg-Marquardt model predicts the experimental data with higher accuracy than the scaled conjugate gradient model. The results indicate a strong dependency of the hydrate formation kinetics on the LDH nanofluid concentrations.

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