Wellhead Valve Greasing Data Logging for Precise Lubrication
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Solution Overview
Problem
The quality of wellhead valve greasing operations is challenging due to manual data recording, human error, and variability in grease volume, which can lead to improper lubrication and potential damage to valves, especially in large geographic areas with diverse valve types and suppliers.
Innovation Solution
A digital greasing intelligent tool (DGIT) using RFID tags for operator and equipment identification, a GPS for location tracking, pressure and flow sensors for real-time data collection, and a data logger for automated grease acceptance verification, ensuring accurate grease volume and compliance with manufacturer recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual data recording is used for greasing operations, then the operation process is simple and easy to implement, but data accuracy deteriorates and human errors increase
Solution Approach 1:
The patent replaces the manual mechanical recording system with an automated electronic data collection system. Sensors (pressure, flow, temperature) automatically measure and record greasing parameters, eliminating manual data entry and its associated errors. The system substitutes human-operated mechanical processes with electronic automation, improving data accuracy while maintaining operational simplicity through user-friendly interfaces.
Solution Approach 2:
The system enables self-service data recording where the greasing equipment itself automatically collects and records operational data through integrated sensors and controllers. The equipment performs its own monitoring and documentation without requiring external manual intervention for data capture, thereby improving accuracy while keeping the operation process simple.
2Ease of manufacture
If random checks and audits are used for QA/QC compliance, then the control method is simple to implement, but the reliability of quality control deteriorates due to remote operations and lack of adequate measurement
Solution Approach 1:
The patent implements continuous real-time feedback through sensors that monitor greasing operations throughout the process. Pressure, flow, and temperature sensors provide ongoing data about the greasing state, enabling immediate detection of deviations from quality standards. This continuous feedback loop replaces intermittent random checks, significantly improving quality control reliability while the automated nature maintains operational simplicity.
Solution Approach 2:
The system replaces manual random inspection processes with automated electronic monitoring and measurement systems. Sensors and controllers continuously track critical parameters, substituting human auditors with reliable automated measurement devices that provide consistent, objective quality verification without the limitations of remote manual checks.
3Adaptability or versatility
If different greasing volumes are used for various valve sizes and suppliers, then the adaptability to different valve types is improved, but the complexity of the greasing process increases
Solution Approach 1:
The patent implements a dynamic greasing system that automatically adjusts greasing parameters based on real-time sensor feedback and pre-stored valve specifications. The system dynamically modifies pressure, flow rate, and total grease volume according to the specific valve being serviced, eliminating the need for manual process reconfiguration. This dynamic adaptation maintains versatility across different valve types while keeping the operator interface simple through automated parameter selection.
Solution Approach 2:
The system creates a universal greasing platform that can handle multiple valve sizes and suppliers through a single integrated system. By incorporating a database of valve specifications and using automated parameter adjustment, the system provides multi-functionality that adapts to diverse valve requirements without requiring separate procedures or equipment configurations for each valve type.
4Reliability
If proper lubrication is applied to wellhead valves, then the performance and life of valves are improved, but the risk of over-greasing or under-greasing increases when manual control is used
Solution Approach 1:
The patent employs feedback control through flow meters and pressure sensors that continuously monitor the greasing process in real-time. The system compares actual grease delivery against target values stored in the database for each valve type, automatically adjusting the greasing rate to achieve precise dosage. This closed-loop feedback ensures accurate grease volume application, preventing both over-greasing and under-greasing while maintaining optimal valve performance.
Solution Approach 2:
The system replaces manual estimation and control of grease volume with automated electronic measurement and control devices. Flow meters precisely measure grease delivery, and controllers automatically regulate the greasing process based on pre-programmed specifications, substituting human judgment with precise electronic measurement to achieve consistent, accurate lubrication dosing.
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
Ensures precise grease application, reduces human error, and provides digital records for efficient maintenance management, enabling predictive analytics and proactive maintenance through machine learning.
Implementation Method 1
a radio frequency identification (RFID) reader configured to scan a first RFID tag of a greasing operator performing a greasing operation at the wellsite to generate an operator identifier
Implementation Method 2
a global positioning system (GPS) receiver configured to obtain a GPS location of the wellsite
Implementation Method 3
collecting, during said injecting and by the data logger and control panel device, sensor data from a pressure sensor and a flow meter
Implementation Method 4
collecting, during said injecting and by the data logger and control panel device, sensor data from a pressure sensor and a flow meter
Implementation Method 5
injecting, by the operator using the grease gun, grease into the valve for lubrication
Data Source
AI summary
A method and a system to perform a wellhead maintenance process are disclosed. The wellhead maintenance process includes digitizing data records of wellhead valve greasing operations, automatic well and wellhead valve data recognition and verification, automatic generation of greasing operation volume recommendations, and generating advanced greasing operation analytics. A portable microcontroller device is used for geolocating and timestamping the digital maintenance records of the wellhead valve greasing operation to improve operation efficiency and automation as well as compliance audit verification.