Estimating Crude Oil Composition via FT-IR Spectroscopy
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Solution Overview
Problem
Current methods for determining the detailed composition of crude oil and petroleum streams are time-consuming, expensive, and not suited for real-time analysis, limiting their application in process control and optimization.
Innovation Solution
A two-step method using multivariate analytical techniques like spectroscopy and optimization algorithms to estimate a detailed model-of-composition, refining an initial template composition to match measured properties, allowing for rapid and cost-effective composition analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If High-Detailed Hydrocarbon_analysis (HDHA) is used to determine detailed composition, then measurement precision is improved, but loss of time and device complexity increase significantly
Solution Approach 1:
The patent creates a virtual copy of the complex HDHA process by using FT-IR spectroscopy to capture the essential compositional characteristics without performing the complete distillation and detailed chromatographic analysis. The FT-IR spectrum serves as a simplified representation that can be processed to obtain compositional data much faster than traditional HDHA methods.
Solution Approach 2:
The patent replaces the mechanical/physical separation processes of traditional HDHA (distillation, chromatography) with an optical measurement system (FT-IR spectroscopy). This substitution eliminates the time-consuming physical separation steps while maintaining the ability to identify and quantify hydrocarbon components through spectral analysis.
2Measurement precision
If High-Detailed Hydrocarbon_analysis (HDHA) is used to determine detailed composition, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual copy of the complex HDHA process by using FT-IR spectroscopy to capture the essential compositional characteristics without performing the complete distillation and detailed chromatographic analysis. The FT-IR spectrum serves as a simplified representation that can be processed to obtain compositional data much faster than traditional HDHA methods.
Solution Approach 2:
The patent replaces the mechanical/physical separation processes of traditional HDHA (distillation, chromatography) with an optical measurement system (FT-IR spectroscopy). This substitution eliminates the time-consuming physical separation steps while maintaining the ability to identify and quantify hydrocarbon components through spectral analysis.
3Measurement precision
If traditional HDHA methods are used, then composition accuracy is improved, but productivity decreases
Solution Approach 1:
The patent creates a virtual copy of the complex HDHA process by using FT-IR spectroscopy to capture the essential compositional characteristics without performing the complete distillation and detailed chromatographic analysis. The FT-IR spectrum serves as a simplified representation that can be processed to obtain compositional data much faster than traditional HDHA methods.
Solution Approach 2:
The patent enables continuous spectral acquisition and compositional estimation without the interruptions required by batch distillation and chromatographic runs. The FT-IR measurement can be performed continuously on process streams, providing real-time compositional data that maintains continuous production activity rather than requiring periodic shutdowns for analysis.
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
Enables rapid and cost-effective estimation of detailed compositions, facilitating real-time decision-making, control, and optimization in petroleum refining processes.
Implementation Method 1
a multivariate analytical technique, such as spectroscopy, or a combination of a multivariate technique and sample property-analysis
Data Source
AI summary
A method for determining the composition of a material including the steps of fitting multivariate analytical data of the material to a combination of multivariate analytical data in a database to determine coefficients of the combination so as to determine a reference model of composition based on the coefficients and the compositions in the database, wherein the database includes multivariate analytical data of database materials whose compositions are known, and reconciling the reference model of composition to match properties of the material.


