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A liquid liquid flooding model gave reasonable correlation of literature flooding data, obtained at a laboratory and pilot scale.
Comparison of measured and predicted values demonstrated that each component of the model gave reasonable output and that the interaction among components was realistic.
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Therefore, the model gives reasonable results.
The present model gives reasonable agreement with measurements.
Comparison of results reveals that the ANN model gives reasonable estimates for the BOD prediction.
In this particular study, it demonstrates that each components of the model gives reasonable output.
The comparison results show that the present model gives reasonable agreement with the measured data.
The model gives reasonable predictions of the particle volume fraction, particle velocities and velocity fluctuations.
The resulting model gives reasonable agreement with published data for smooth surfaces.
The model gives reasonable estimations for the crack growth of an initial defect.
Back-analyses of some instrumented case histories from the literature also indicate that the trained neural network model gives reasonable predictions in comparison to the actual measured values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com