Automated Zipper Manifold Valve Monitoring With Pressure Feedback
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Solution Overview
Problem
Monitoring and maintaining zipper manifolds during frac operations is labor-intensive, time-consuming, and risky, with challenges in tracking valve states and flow rates in real-time, leading to equipment degradation and safety concerns.
Innovation Solution
An automated zipper manifold system with multiple pressure transducers and a graphical user interface that allows for remote and independent control of valves, providing real-time data on valve positions and fluid flow analysis to ensure optimal operation and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If valves are manually monitored and operated on the zipper manifold, then operators can directly control valve positions, but the task is labor-intensive, time-consuming, and dangerous, leading to equipment degradation and safety risks
Solution Approach 1:
The patent replaces manual mechanical valve operation with an automated control system that uses electronic signals to open and close valves. The system includes a controller that receives signals and automatically actuates valves, eliminating the need for operators to physically monitor and manipulate valve mechanisms, thereby reducing labor intensity and operation time.
Solution Approach 2:
The system enables self-monitoring through pressure transducers that automatically detect valve positions and flow conditions without human intervention. The automated control system also performs self-regulation by responding to pressure differential signals, allowing the manifold to maintain optimal operation independently, reducing the need for continuous manual oversight.
2Measurement precision
If multiple pressure transducers are installed to monitor valve health and flow rates, then real-time data on valve positions and fluid flow can be obtained, but the system complexity and cost increase
Solution Approach 1:
The pressure transducers serve multiple functions: they monitor valve positions, measure flow rates, detect pressure differentials for valve actuation, and provide diagnostic information about system health. This multi-functionality reduces the need for separate specialized sensors for each measurement type, thereby limiting the increase in system complexity while achieving comprehensive monitoring.
Solution Approach 2:
The system uses pressure transducers to continuously monitor pressure differentials across valves and feeds this information back to the controller. The controller uses this feedback to automatically adjust valve positions and maintain optimal flow conditions. This closed-loop feedback mechanism enables precise measurement and control without requiring overly complex monitoring infrastructure.
3Reliability
If valves are remotely controlled through a graphical user interface, then operator safety is improved and maintenance is easier, but the system requires additional automation infrastructure
Solution Approach 1:
The system introduces a controller as an intermediary between the operator interface and the physical valves. The controller receives commands from the graphical user interface and translates them into appropriate valve actuation signals, while also monitoring system conditions and making automatic adjustments. This intermediary layer enhances reliability by providing intelligent control logic while managing the automation infrastructure requirements.
Solution Approach 2:
The system uses visual indicators (such as color-coded status lights or colored displays on the graphical interface) to show valve positions and system states. This provides immediate visual feedback to operators about the current state of the system, enhancing reliability by making the status of automated valves clearly visible without requiring physical inspection, thereby justifying the automation infrastructure through improved operational awareness.
4Reliability
If real-time monitoring of valve states is implemented, then equipment failures and leaks can be detected earlier, but the data acquisition and processing requirements increase
Solution Approach 1:
The system implements continuous feedback monitoring where pressure transducers constantly measure pressure differentials across valves and immediately report changes to the controller. When abnormal conditions are detected (such as unexpected pressure changes indicating valve leakage or failure), the system automatically generates alerts and can trigger corrective actions. This real-time feedback loop enables early detection of equipment failures while managing data processing through event-driven architecture that focuses on significant changes rather than continuous raw data streams.
Data Source
AI summary
An automated zipper manifold with remotely and independently controlled and monitored valves, wherein second pressure transducers are positioned on the zipper manifold and are configured to determine a flow analysis across the valve.