Packing Failure Detection in Hydraulic Fracturing Pump
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Solution Overview
Problem
Hydraulic fracturing rigs face inefficiencies and increased emissions due to packing failures in pumps, which are not effectively detected or addressed by existing technologies, leading to downtime and potential damage to components.
Innovation Solution
A rig monitoring system that uses sensors to collect vibration, pressure, and leakage data to determine if the packing has failed and assess the severity of the failure, allowing for timely maintenance and reducing operational inefficiencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the pump continues to operate after packing failure, then the rig can maintain production, but additional fuel is consumed and emissions increase
Solution Approach 1:
The monitoring system performs preliminary detection of packing failure through vibration sensors and pressure transducers before the failure significantly impacts pump performance. By detecting early signs of packing degradation (increased vibration, pressure fluctuations), the system enables proactive scheduling of maintenance during planned downtime rather than reacting to performance degradation, thus avoiding unnecessary fuel consumption while maintaining productivity
2Productivity
If the pump operates with failed packing, then production continues, but damage occurs to pump components
Solution Approach 1:
The system continuously monitors vibration levels and pressure fluctuations from the pump packing through sensors connected to a monitoring unit. When vibration exceeds predetermined thresholds or pressure patterns indicate packing failure, the system provides immediate feedback alerts to operators. This feedback mechanism enables timely intervention to replace failed packing before it causes cascading damage to reciprocating members, valves, or other pump components, thereby protecting reliability while maintaining productivity
3Device complexity
If packing is not monitored, then the system remains simple, but downtime increases due to unexpected failures
Solution Approach 1:
The monitoring system enables the pump to essentially monitor itself through integrated vibration sensors and pressure transducers that continuously assess packing condition. The system automatically compares sensor readings against predetermined thresholds and generates alerts without requiring manual inspection or complex external monitoring infrastructure. This self-service capability provides reliable failure detection with minimal added complexity, reducing unexpected downtime while keeping the monitoring system straightforward to implement and operate
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
The system enables early detection of packing failures, minimizing downtime and fuel consumption, and preventing damage to pump components by providing accurate failure severity assessments and alerts for maintenance.
Implementation Method 1
first vibration data related to vibration of an inlet manifold of a pump of a hydraulic fracturing rig during operation of the pump
Implementation Method 2
pressure data related to a pressure of an outlet manifold of the pump during operation of the pump
Data Source
AI summary
A system obtains sensor data that includes: first vibration data related to vibration of an inlet manifold of a pump of a hydraulic fracturing rig, pump speed data related to a speed of the pump, pressure data related to a pressure of an outlet manifold of the pump, second vibration data related to vibration of a packing of the pump, and leakage data related to a leakage of fracturing fluid by the packing. The system processes the first vibration data and the pump speed data to determine that an inlet valve of the pump and an outlet valve of the pump have not failed, and thereby processes the pressure data to determine that the packing of the pump has failed. The system determines, based on at least one of the second vibration data and the leakage data, a failure severity level associated with the packing of the pump.