Table 2.

where ΔZ is the change of the physicochemical property and Δq is the change of CCs. Eq. (8) means that a change of properties is proportional to the change of color

Asphaltenes and tars A 0.10–98.67 0.29–0.86 0.14–0.41 0.00–0.33

Range of color characteristics of multicomponent hydrocarbon systems [3, 4].

The received results show that for all the researched petrochemical systems, there is correlation dependence PCP from CCs. The correlation coefficient R and the standard deviation were used as the criterion of adequacy. Some results of calculations are given in Table 2. Properties such as relative density (ρ); number-average molecular weight (M in Dalton); Conradson carbon residue (g in weight.%); activation energy for viscous flow (Ea in kJ/mol). The results show that for all studied petrochemical systems, there is a clear dependence of PCP on CCs [2–4]. These correlations allow the determination of PCP substances using CCs. Such dependencies are necessary for quality control of oil distillates and oil products. In addition, there is an opportunity for remote control methods of environmental pollution by oil and oil products. For example, it is possible to determine in a few minutes such properties of formation oils as molecular mass, viscosity, density, the index of thermal stability, the index of reactivity of fractions in coking, thermal cracking processes, etc.

for any colored substances.

Hydrocarbon systems CIE

Separator oils of the Russian Federation (Bashkortostan, West

Blown, residual, road, and structural

Residual high-boiling hydrocarbonic fraction of vacuum oil refining

Hydrocarbonic fractions with average boiling temperature Тboil

180–360°C

Table 1.

12

Siberia, Tatarstan)

petroleum

Color Detection

standard source

Organic fractions of oligomers A 68.23–87.09 0.50–0.52 0.39–0.40 0.08–0.11

Luminosity Coordinates of chromaticity

A 20.56–70.59 0.51–0.63 0.36–0.42 0.00–0.08 B 17.24–66.60 0.39–0.51 0.42–0.49 0.00–0.19 C 15.73–65.91 0.38–0.54 0.38–0.47 0.01–0.24 D65 17.17–67.42 0.37–0.51 0.39–0.50 0.01–0.23

A 9.80–64.97 0.51–0.67 0.32–0.42 0.00–0.07 B 7.76–61.44 0.40–0.55 0.44–0.46 0.01–0.16 C 6.60–60.88 0.38–0.61 0.38–0.43 0.02–0.22 D65 7.48–62.79 0.38–0.57 0.41–0.45 0.01–0.21

B 64.75–84.41 0.36–0.38 0.39–0.41 0.20–0.25 C 64.40–84.71 0.34–0.37 0.35–0.37 0.26–0.32 D65 65.66–85.51 0.34–0.37 0.36–0.39 0.25–0.30

A 15.26–86.19 0.51–0.66 0.33–0.40 0.00–0.09 B 12.15–82.06 0.38–0.57 0.42–0.47 0.01–0.20 C 10.41–81.90 0.36–0.62 0.36–0.44 0.01–0.26 D65 11.80–83.30 0.36–0.58 0.39–0.46 0.01–0.25

A 21.20–99.83 0.48–0.63 0.36–0.41 0.01–0.14 B 17.70–98.97 0.33–0.52 0.36–0.48 0.03–0.30 C 15.98–99.96 0.31–0.55 0.32–0.45 0.04–0.37 D65 17.57–99.90 0.31–0.52 0.33–0.47 0.04–0.36

B 0.09–97.66 0.04–0.62 0.32–0.64 0.00–0.32 C 0.08–98.67 0.04–0.71 0.24–0.59 0.00–0.37

xy z

Coefficients of Eq. (10) for physicochemical property estimation of oils and petroleum residues in colorimetric systems XYZ and RGB [3–10].
