Pipeline Fluid Detection Using Near-Infrared Spectroscopy
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Solution Overview
Problem
Current methods for detecting the transition between different fluids in a pipeline are slow and inefficient, relying on lab testing of physical properties, which leads to waste and logistical challenges due to the variability in crude oil compositions from unconventional shale formations and mixed streams.
Innovation Solution
Employing a spectroscopic analyzer, such as a near-infrared spectrometer, to identify optical signatures of fluids in near-real-time, allowing for the detection of transmix regions without the need for lab testing or calibration samples, by analyzing spectral information and classifying fluids as they flow through the pipeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lab testing of physical properties is used to detect fluid transitions, then measurement precision can be achieved, but the process becomes slow and time consuming
Solution Approach 1:
The patent replaces the mechanical/lab-based testing system with an optical spectroscopic system. Instead of physically removing fluid samples for lab analysis, the system uses near-infrared spectroscopy to non-contactly measure fluid properties in real-time, substituting mechanical sampling with optical measurement to achieve both speed and precision
Solution Approach 2:
The spectroscopic analyzer provides continuous real-time monitoring of fluid properties as they flow through the pipeline, eliminating the discontinuous nature of batch lab testing. The system continuously measures optical properties without interrupting fluid flow or requiring sample removal, enabling immediate detection of transitions
2Measurement precision
If manual lab testing is performed, then fluid composition can be determined, but the process is not automated and requires human intervention
Solution Approach 1:
The system performs self-service by automatically analyzing fluid properties using onboard spectroscopic equipment without requiring external lab facilities or human operators. The analyzer autonomously measures optical properties, processes data, and triggers alerts when transitions are detected, making the entire process automated and independent of manual intervention
Solution Approach 2:
The patent replaces manual laboratory operations with an automated optical measurement system that uses near-infrared spectroscopy. The system automatically captures spectral data, processes it through algorithms, and identifies fluid transitions without human involvement, substituting manual testing with automated optical analysis
3Measurement precision
If physical samples are removed from the pipeline for testing, then fluid properties can be measured, but this causes waste and logistical complications
Solution Approach 1:
The patent substitutes the mechanical process of physical sample removal with non-contact optical measurement. The near-infrared spectroscopic analyzer measures fluid properties through optical interaction without requiring fluid extraction, eliminating the waste and logistical issues associated with sampling and sample transport
Solution Approach 2:
The system uses optical radiation as an intermediary to measure fluid properties. Instead of directly removing fluid samples, the analyzer uses near-infrared light as a mediator to interact with the fluid molecules, allowing property measurement without physical contact or sample removal, thus preventing fluid waste
4Ease of manufacture
If general correlation methods are used to determine fluid type, then processing can be simplified, but accuracy decreases due to increasing compositional variability
Solution Approach 1:
The patent changes the measurement parameters from general physical properties to specific optical spectral characteristics. By measuring the complete spectral fingerprint across multiple wavelengths and comparing it against reference spectra, the system maintains high accuracy despite compositional variability, using detailed spectral parameter analysis rather than simplified general correlations
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 accurate identification of transmix regions, minimizing waste and logistical complications, and ensuring precise fluid classification for improved operational efficiency and profit margins by determining fluid stability and composition in real-time.
Implementation Method 1
a spectroscopic analyzer, such as a near-infrared spectrometer, to distinguish the optical signatures between various fluids flowing through a pipeline
Data Source
AI summary
Methods and systems for near-real-time measurement and analysis of a fluid flowing through a pipeline. Analysis of the spectra of the fluid may be used to determine when a stable first pipeline fluid transitions into a transmix and then further transitions into a stable second pipeline fluid. By comparing the characteristics of the changing spectrum of fluids flowing through a pipeline as they transition from a first stable fluid, through a transmix phase, to a second stable fluid, this process can be achieved without the need to measure compositional or physical properties of the fluids or transmixes thereof.