Petroleum is a complex
fluid whose sulfur content varies considerably
depending on its place of origin. Sour crude petroleum, which contains
more than 0.5% sulfur by mass, often requires additional processing
due to the potential for corrosion and catalyst poisoning during refining.
Estimating or measuring the sulfur content of distillate fractions
as a function of boiling temperature is an important step in petroleum
refining. The advanced distillation curve (ADC) method was developed
to provide a composition-explicit data channel for the measurement
of thermophysical and chemical properties of complex fluids. We applied
the ADC method to a composite sample of North American petroleum to
characterize its boiling temperature, density, and composition as
a function of distillate volume fraction. The compositions of light
distillate fractions were used to estimate their densities and refractive
indices based on critically evaluated thermodynamic data. The estimated
densities of the distillate fractions are consistent with pycnometry
data. The sulfur content, measured with a sulfur chemiluminescence
detector, was found to be within the range predicted by an empirical
model based on distillate boiling temperature and density. The corrosivity
of various distillate cuts was tested with a modified copper strip
corrosion test. Copper tarnishing was found to depend not only on
the amount of sulfur present but also on the temperature at which
the fraction is collected.