The DIPPR� databases

Dynamic optimization of thermodynamically rigorous models of multiphase flow in porous subsurface oil reservoirs

“…The viscosity of phase α ∈ {o, g}, µ α = µ α (T, P, n α ), is a function of temperature, T , pressure, P , and phase composition (in moles), n α : We present the expression for V α c here, but we first use it in (B.6). We use values of the pure component critical temperature, T c,k , critical pressure, P c,k , critical volume, V c,k , and molecular weight, M w,k , from the DIPPR database [53]. In order to describe the viscosity of the oil and the gas phases in a unified manner, we have adopted a different notation for the mole fractions, x α k = x α k (n α ), than in previous sections:…”

On the estimation of the regime transition point in bubble columns

“…In this computation, whenever the physical properties of the fluids were not given in the original reference, their values were estimated according to different methods. For pure liquids, the expressions from the DIPPR ® data base [49] were used for all properties. The virial equation truncated to two terms, whose coefficient was computed with the correlation presented by Smith and Van Ness [50], was chosen for calculating the gas density.…”

Systematic identification method for data analysis and phase equilibria modelling for lipids systems

“…The correlations used for the functional properties are standard DIPPR correlations [44]. These were chosen for easier application/usage of the database with process simulators, where these correlations are readily available.…”