Fork Meter Anomaly Detection Using Density and Phase Difference
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Solution Overview
Problem
Existing vibratory sensors face challenges in effectively identifying and determining anomalies such as gas entrainment, build-up, erosion, and corrosion, which affect the accuracy of fluid density and viscosity measurements, often requiring meters to be removed for inspection.
Innovation Solution
A data processing circuit integrated into the meter electronics determines anomalies by analyzing the relationship between measured and expected densities and phase differences, identifying specific anomalies like gas entrainment or build-up through threshold comparisons and phase behavior patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time anomaly detection is implemented using data processing circuit, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The meter electronics is designed to perform multiple functions: it not only measures fluid density and viscosity using vibratory elements but also simultaneously performs anomaly detection by analyzing phase differences and density measurements. This multi-functionality allows the same hardware to serve both measurement and diagnostic purposes, improving measurement accuracy through real-time anomaly detection without requiring separate dedicated equipment, thus managing device complexity effectively.
2Reliability
If continuous monitoring of phase difference and density is performed, then reliability is improved, but use of energy increases
Solution Approach 1:
The system performs continuous monitoring of phase difference and density measurements to reliably detect anomalies in real-time. The data processing circuit continuously analyzes the relationship between measured and expected densities and phase differences, enabling uninterrupted detection of gas entrainment, build-up, erosion, and corrosion. This continuous operation improves reliability by ensuring anomalies are detected as they occur, allowing for timely intervention while maintaining accurate fluid property measurements throughout the monitoring period.
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 real-time anomaly detection and identification within the fluid flow system without requiring meter removal, improving measurement accuracy and operational efficiency by distinguishing between different types of anomalies.
Implementation Method 1
vibratory sensors, such as vibratory densitometers and vibratory viscometers, operate by detecting motion of a vibrating element that vibrates in the presence of a fluid to be characterized
Implementation Method 2
The vibratory element has a vibration response that may have a vibration response parameter such as a resonant frequency or quality factor Q
Implementation Method 3
Vibratory sensors have a vibratory element and meter electronics coupled to the vibratory element. Vibratory sensors include drivers for vibrating the vibratory element and a pickoff that creates a vibration signal in response to the vibration
Data Source
AI summary
A method for determining a process anomaly in a fluid flow system, the system having a meter with immersed elements immersed in a fluid of a fluid flow is disclosed. The method includes determining, using a data processing circuit (132), a measured density of the fluid in the fluid flow system, determining, using the data processing circuit (132), whether the fluid flow system is experiencing a density anomaly based on a relationship between the measured density and an expected density of the fluid in the fluid flow system, determining, using the data processing circuit (132), a measured phase difference of vibrations of the immersed elements of the meter, determining, using the data processing circuit (132), whether the fluid flow system is experiencing a phase anomaly based on a relationship between the measured phase difference and a target phase difference of the vibrations of the immersed elements in the fluid flow, and identifying an anomaly of the fluid flow system based on the determination of whether there is a density anomaly and the determination of whether there is a phase anomaly.