Characterization of crude oil by near infrared spectroscopy
A system and a method for determining one or more distillation temperatures for one or more given distillation weight percentages of a crude oil sample are provided, which can be used to produce a simulated distillation curve. Simulated distillation temperatures of crude oil samples are assigned as a function of density and data derived from direct near infrared spectroscopy measurement of the crude oil samples.
1. A system for assigning a distillation temperature for a given distillation weight percentage to a fraction of an oil sample based upon near infrared spectroscopy data, the system comprising:
a non-volatile memory device that stores calculation modules and data, the data including NIR spectroscopy data indicative of absorbance values of the crude oil solution for peaks detected in a predetermined wavenumber range for the oil sample;
a processor coupled to the memory;
a first calculation module that calculates and assigns a cumulative and normalized infrared absorbance for the given distillation weight percentage from the data indicative of absorbance values; and
a second calculation module that calculates and assigns a simulated distillation temperature of the fraction as a function of the infrared absorbance for the given distillation weight percentage, and density of the oil sample.
2. The system as in claim 1 , wherein the second calculation module calculates and assigns the simulated distillation temperature of the fraction from a multi variable polynomial equation with predetermined constant coefficients developed using linear regression techniques, wherein the variables include the infrared absorbance for the given distillation weight percentage and the density of the oil sample.
3. A system for assigning a distillation temperature for a given distillation weight percentage to a fraction of an oil sample comprising:
a near infrared spectrometer that outputs near infrared spectroscopy data;
a non-volatile memory device that stores calculation modules and data, the data including NIR spectroscopy data indicative of absorbance values of the crude oil solution for peaks detected in a predetermined wavenumber range for the oil sample;
a processor coupled to the memory;
a first calculation module that calculates and assigns a cumulative and normalized infrared absorbance for the given distillation weight percentage from the data indicative of absorbance values; and
a second calculation module that calculates and assigns a simulated distillation temperature of the fraction as a function of the infrared absorbance for the given distillation weight percentage, and density of the oil sample.
4. The system as in claim 3 wherein plural distillation temperatures are assigned to obtain a set of simulated distillation data.
5. The system as in claim 3 , wherein the predetermined wavenumber range is 4,000-12,821 cm −1 .
6. The system as in claim 3 , wherein the second calculation module calculates and assigns the simulated distillation temperature of the fraction from a multi variable polynomial equation with predetermined constant coefficients developed using linear regression techniques, wherein the variables include the infrared absorbance for the given distillation weight percentage and the density of the oil sample.
7. The system as in claim 4 , wherein the given distillation weight percentage values are 0.5, 5, 10, 20, 30, 40, 50, 60, 70, 80 W %.
8. A method for operating a computer to assign a distillation temperature for a given distillation weight percentage to a fraction of an oil sample based upon near infrared spectroscopy data, the method comprising:
entering into the computer near infrared spectroscopy data indicative of absorbance values of the crude oil solution for peaks detected in a predetermined wavenumber range for the oil sample;
calculating and assigning a cumulative and normalized infrared absorbance for the given distillation weight percentage from the data indicative of absorbance values; and
calculating and assigning a simulated distillation temperature of the fraction as a function of the infrared absorbance for the given distillation weight percentage, and density of the oil sample.
9. The method as claim 8 , wherein plural distillation temperatures are assigned to obtain a set of simulated distillation data.
10. The method as claim 8 , wherein the predetermined wavenumber range is 4,000-12,821 cm −1 .
11. The method as in claim 8 , wherein calculating and assigning the simulated distillation temperature is with a multi variable polynomial equation with predetermined constant coefficients developed using linear regression techniques, wherein the variables include the infrared absorbance for the given distillation weight percentage and the density of the oil sample.
12. The method as in claim 9 , wherein the given distillation weight percentage values are 0.5, 5, 10, 20, 30, 40, 50, 60, 70, 80 W %.
13. A method for assigning assign a distillation temperature for a given distillation weight percentage to a fraction of an oil sample, the method comprising:
obtaining near infrared spectroscopy data indicative of absorbance values of the crude oil solution for peaks detected in a predetermined wavenumber range for the oil sample;
entering into a computer the obtained near infrared spectroscopy data;
calculating and assigning a cumulative and normalized infrared absorbance for the given distillation weight percentage from the data indicative of absorbance values; and
calculating and assigning a simulated distillation temperature of the fraction as a function of the infrared absorbance for the given distillation weight percentage, and density of the oil sample.
14. The method as in claim 13 wherein the oil sample is crude oil.
15. The method as in claim 13 , wherein the oil sample is obtained from an oil well, stabilizer, extractor, or distillation tower.
16. The method as claim 13 , wherein plural distillation temperatures are assigned to obtain a set of simulated distillation data.
17. The method as claim 13 , wherein the predetermined wavenumber range is 4,000-12,821 cm −1 .
18. The method as in claim 13 , wherein calculating and assigning the simulated distillation temperature is with a multi variable polynomial equation with predetermined constant coefficients developed using linear regression techniques, wherein the variables include the infrared absorbance for the given distillation weight percentage and the density of the oil sample.
19. The method as in claim 16 , wherein the given distillation weight percentage values are 0.5, 5, 10, 20, 30, 40, 50, 60, 70, 80 W %.