Riazi-Daubert correlation

Compositional information is quite useful to the refiner and many correlations are available in the literature that attempt to correlate PNA content to various bulk measurements. In general, these correlations rely on density or specific gravity, molecular weight, distillation curve and one or more viscosity measurements. The n-d-M (refractive index, density, and molecular weight) [4], API/Riazi-Daubert [35,4], and TOTAL [19] correlations are just a few of the correlations available. [Pg.51]

The Riazi-Daubert correlation relies on the most directly observed information and we expect it to show the smallest deviation from measured values. The other correlations require parameters (aniline point, etc.) that may not be routinely measured for all feeds. The Riazi-Daubert correlation takes the form ... [Pg.52]

As mentioned earlier, we must also be able to infer the paraffin, naphthene and aromatic (PNA) composition of each boiling-point range given certain measured bulk properties to completely map feed information to kinetic lumps. The API (Riazi-Daubert) [54, 55] is a popular chemical composition correlation that takes the form ... [Pg.170]

For V(, to be consistent with the estimations of and P, we also apply the correlation developed by Riazi and Daubert [41] ... [Pg.397]

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