NIR Spectroscopy for Crude Oil Property Prediction
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Solution Overview
Problem
The traditional crude oil assay method is costly and time-consuming, requiring extensive distillation and fractionation to determine indicative properties of crude oil fractions, which hinders efficient processing and valuation.
Innovation Solution
Near infrared spectroscopy is used to directly measure crude oil samples, correlating density and spectral data to predict indicative properties like cetane number, pour point, and aniline point without the need for fractionation, enabling faster and more cost-effective evaluation of crude oil quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional crude oil assay method with distillation and fractionation is used, then accurate determination of indicative properties is achieved, but the process becomes time-consuming and costly
Solution Approach 1:
The patent replaces the mechanical distillation and fractionation system with a spectroscopic measurement system. Near-infrared spectroscopy directly measures the crude oil sample to predict indicative properties, eliminating the need for physical separation processes while maintaining measurement accuracy through chemometric correlations.
Solution Approach 2:
The patent changes the measurement parameters from physical separation (distillation cuts) to spectral parameters (absorbance at specific wavelengths). By measuring absorbance at wavelengths characteristic of specific hydrocarbon functional groups, the method directly correlates spectral data to indicative properties without mechanical fractionation.
2Loss of information
If traditional crude oil assay method with extensive distillation is used, then comprehensive composition analysis is obtained, but the cost increases significantly
Solution Approach 1:
The patent substitutes expensive mechanical distillation equipment and extensive laboratory procedures with affordable spectroscopic instrumentation. The near-infrared spectrometer combined with chemometric analysis provides comprehensive compositional information at a fraction of the traditional assay cost.
Solution Approach 2:
The patent creates a universal measurement system that can determine multiple indicative properties (density, refractive index, sulfur content, nitrogen content, viscosity, pour point, flash point) from a single spectroscopic measurement. This multi-functional approach eliminates the need for multiple separate tests, reducing both cost and complexity.
3Measurement precision
If traditional distillation and fractionation processes are used, then detailed fraction properties are determined, but the processing complexity increases
Solution Approach 1:
The patent extracts only the essential information needed for indicative properties from the crude oil sample through direct spectroscopic measurement. Instead of performing complete distillation to analyze every fraction, the method extracts predictive spectral signatures that correlate to the desired properties, simplifying the overall process.
Solution Approach 2:
The patent creates a spectral copy or fingerprint of the crude oil sample that contains all necessary compositional information. This spectral copy can be analyzed computationally to predict indicative properties without physically separating the sample into fractions, greatly reducing process complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for rapid and accurate determination of crude oil properties, reducing the time and cost associated with traditional assays, enabling quicker decision-making and valuation of crude oil without the need for extensive distillation processes.
Implementation Method 1
Near infrared spectroscopy is used to directly measure crude oil samples, correlating density and spectral data to predict indicative properties
Data Source
AI summary
A system and a method for calculating and assigning one or more indicative properties (e.g., cetane number, pour point, cloud point, aniline point) of a fraction of an oil sample based on an index calculated and assigned based on near infrared spectroscopy data of the sample.