Virtual Crude Oil Assay via Spectroscopy for Pipestill Optimization
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Solution Overview
Problem
The petrochemical industry faces challenges in determining the optimal operation of crude-oil pipestills due to the time-consuming and costly nature of traditional laboratory assays, which fail to accurately assess the quality of crude oil feedstreams in real-time, leading to uncertainties in identifying deviations from optimal operation.
Innovation Solution
A method employing virtual assays using multivariate analytical techniques such as spectroscopy to quickly and accurately determine crude oil quality, allowing for the prediction of chemical, physical, and performance properties by comparing data to a database of reference materials, thereby enabling the monitoring of pipestill health and optimizing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional laboratory assays are used to assess crude oil quality, then measurement precision is improved, but analysis time increases significantly
Solution Approach 1:
The patent creates a virtual copy of the crude oil sample through spectroscopic analysis, generating a spectral signature that represents the oil's chemical composition without requiring physical distillation. This virtual replica allows rapid quality assessment by comparing spectral features against reference databases, eliminating the need for time-consuming laboratory distillation procedures while maintaining assessment accuracy.
Solution Approach 2:
The patent replaces the mechanical distillation process with optical spectroscopy. Instead of physically separating crude oil components through heating and condensation (mechanical/thermal process), the system uses light absorption characteristics to identify and quantify chemical components, dramatically reducing analysis time while preserving measurement precision.
2Measurement precision
If traditional laboratory assays are performed, then measurement precision is improved, but cost increases
Solution Approach 1:
The system creates a virtual analytical copy through spectroscopy that eliminates the need for physical consumables such as distillation solvents, temperature-controlled equipment, and extensive laboratory materials. The spectral analysis requires minimal sample quantity compared to traditional assays, reducing overall resource consumption while maintaining quality assessment precision.
Solution Approach 2:
By substituting mechanical distillation with optical measurement, the patent eliminates energy consumption associated with heating and cooling systems, reduces equipment maintenance requirements, and minimizes laboratory infrastructure needs, thereby reducing operational costs while preserving measurement accuracy.
3Device complexity
If historical assay data is used for operational decisions, then device complexity is reduced, but reliability decreases
Solution Approach 1:
The patent implements real-time feedback by continuously obtaining spectroscopic data on incoming crude oil and immediately comparing it against reference standards and historical performance data. This real-time feedback mechanism provides current quality information that directly influences operational decisions, improving reliability while maintaining manageable system complexity through automated comparison algorithms.
Solution Approach 2:
The system performs preliminary spectroscopic analysis on crude oil samples before they enter the refining process, allowing operators to make informed decisions about processing parameters and product expectations in advance. This preliminary assessment provides reliable quality data that guides subsequent operational decisions, improving reliability without requiring complex real-time monitoring systems during processing.
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 approach provides a rapid and cost-effective means to assess crude oil quality, reducing uncertainties in identifying operational deviations and enabling timely corrective actions, thus improving the efficiency and effectiveness of refinery operations.
Implementation Method 1
A method employing virtual assays using multivariate analytical techniques such as spectroscopy to quickly and accurately determine crude oil quality
Data Source
AI summary
A method for the determination of optimal pipestill operation comprising the steps of: feeding a crude oil feedstream into the pipestill wherein the crude oil feedstream is separated into boiling range fractions, performing a virtual assay of the crude oil feedstream to determine predicted boiling range fraction yields, comparing the predicted boiling range fraction yields with the actual boiling range fraction yields from the pipestill to determine differences between these fraction yields, relating the difference between the fraction yields with the operation of the pipestill.