Sensorized Valve Assembly Monitoring for Predictive Frac Maintenance
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Solution Overview
Problem
Conventional valve assemblies in the oil and gas industry require frequent disassembly, cleaning, and repair due to the migration of contaminants, with no effective method to assess their operational status before reuse, leading to inefficiencies in frac operations.
Innovation Solution
A data acquisition system with pressure, load, and temperature sensors is integrated into valve assemblies to monitor the operation of gate and seat assemblies, allowing for real-time assessment of performance and maintenance needs, reducing the need for disassembly and repair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional valve assemblies are used without monitoring systems, then the valve assembly structure remains simple, but the valve requires frequent disassembly, cleaning, and repair due to inability to assess operational status
Solution Approach 1:
The patent replaces manual inspection and mechanical assessment methods with electronic sensing and data processing systems. Pressure sensors, load sensors, and temperature sensors substitute for physical disassembly and visual inspection, enabling non-intrusive monitoring of valve assembly health status.
Solution Approach 2:
The valve assembly performs self-diagnosis through integrated sensors that continuously monitor its own operational parameters. The system automatically detects degradation, contamination, and performance deviations, enabling predictive maintenance without external intervention or disassembly.
2Reliability
If the valve assembly is disassembled for inspection and repair after each stage, then the operational status can be assessed, but the loss of time and productivity increases
Solution Approach 1:
The monitoring system performs preliminary assessment of valve assembly health during normal operation, detecting issues before they require repair. By continuously tracking pressure differentials, load variations, and temperature changes, the system identifies degradation trends early, allowing maintenance to be scheduled at optimal times rather than after failure.
Solution Approach 2:
The system provides continuous feedback on valve assembly operational status through sensor data collection and analysis. This real-time information allows operators to monitor health metrics and receive alerts when maintenance is needed, eliminating the need for routine disassembly and enabling condition-based maintenance scheduling.
3Measurement precision
If pressure sensors are installed in the flow bore cavity and surrounding cavity, then the gate and seat assembly operation can be assessed, but the device complexity increases
Solution Approach 1:
The pressure sensors serve multiple functions: monitoring flow bore pressure, assessing seat seal integrity, detecting gate position, and identifying cavitation conditions. This multi-functionality justifies the added complexity by providing comprehensive diagnostic capability from a single sensor system.
Solution Approach 2:
Pressure differential measurements act as an intermediary indicator of seal integrity and gate/seat assembly health. Rather than directly measuring complex mechanical interactions, the system uses pressure differences between cavities as a proxy metric that simplifies the assessment of component condition.
4Reliability
If hydraulic cylinder pressure and load measurements are monitored, then the gate/seat seal operation can be assessed, but the manufacturing complexity increases
Solution Approach 1:
The monitoring system is divided into independent sensor modules and data processing components that can be manufactured and tested separately before integration. This segmentation allows standard manufacturing processes to be used for each component, reducing overall manufacturing complexity while enabling comprehensive monitoring.
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 predictive maintenance by analyzing pressure, load, and temperature data to determine if a valve assembly needs repair, thereby improving operational efficiency and reducing downtime in frac operations.
Implementation Method 1
Pressure readings within the flow bore cavity and the cavity surrounding the seat assembly may indicate how the gate and the seat assembly are operating
Implementation Method 2
Temperature affects pressure measurements and may affect load measurements, so external and internal temperature readings may be factored into this analysis as well
Data Source
AI summary
The present invention comprises a valve assembly with load, pressure, temperature, and other sensors for monitoring the operation of the valve assembly. The sensors may interface with the hydraulic cylinder and the cavity surrounding flow bore of the valve assembly to acquire data related to changes in load and pressure. These changes may be analyzed to determine if the valve assemblies are operating properly or improperly and need to be disassembled and replaced. Upon initial operation of the valve assembly, baseline readings related to load and pressure should be acquired to compare with future load and pressure readings during operation.