Life, data, and everything

Satyro, Marco A.

doi:10.1351/pac200779081403

Cited by 1 publication

(1 citation statement)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, the data must be converted into an equivalent TBP curve. Although API took great care in the development of conversion procedures, inconsistencies are sometimes unavoidable because of the empirical nature of the methods such as the problems reported by Daubert and Satyro . Second, the measured values from these procedures are not easily associated with well-defined thermodynamic state points such as bubble point temperatures.…”

Section: Introductionmentioning

confidence: 99%

Oil Characterization from Simulation of Experimental Distillation Data

Satyro¹,

Yarranton²

2009

Energy Fuels

Self Cite

View full text Add to dashboard Cite

The characterization of crude oil involves dividing the oil into pseudocomponents and allocating mole fractions, molar mass, specific gravity, average boiling point, and critical properties to each component. The characterization is typically based on distillation data reported in terms of true boiling points. Standard assay types such as the ASTM D86 or ASTM D1160 vacuum distillation do not provide well established saturated bubble temperatures and require empirical interconversion curves to convert the assay data into true boiling point (TBP) data. Recently developed assays such as the ASTM D5236 and Bruno’s new distillation assay methodology do provide well-defined saturated bubble temperatures that correspond to actual thermodynamic state points but lack an established interconversion method to a TBP, that is, a method to determine the TBP of the fluid based on the measured temperatures of the assay. In this work, a methodology is presented to determine pseudocomponent mole fractions that match the boiling point data from these new assays. The fluid is divided into pseudocomponents of different average boiling point, and the molar mass and other physical properties of each component are determined using established correlations. A simulation of the distillation is optimized to match the assay data by adjusting the mole fraction of each pseudocomponent. The characterization can also be constrained to match other data such as the bulk density and molar mass of the fluid. The proposed methodology is tested on naphtha and Alaska crude oil and then verified through three heavy oil case studies. The methodology is entirely general and can be applied to a compositional analysis from a distillation of any material.

show abstract

Section: Introductionmentioning

confidence: 99%