Smart Alarming System for Well Event Detection
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Solution Overview
Problem
Existing alarm systems in well installations, such as electric submersible pump systems, are prone to false positive alarms due to static settings that do not account for changing local conditions or well environments, leading to unnecessary interruptions and reduced operational efficiency.
Innovation Solution
A smart alarming system that utilizes advanced signal processing techniques, including rate of change analysis and reference learning, to dynamically adjust alarm thresholds based on real-time data from multiple sensors, combining alarms to diagnose conditions and automatically adjust operations to mitigate unwanted events, while incorporating safe mode operations to maintain continuous production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static alarm set points are used based on prior installation knowledge, then the alarm system is simple to implement, but false positive alarms occur due to changing local conditions and well environments
Solution Approach 1:
The alarm system transitions from static set points to dynamic thresholds that automatically adapt to changing well conditions. The system continuously monitors operational parameters and adjusts alarm thresholds in real-time based on learned patterns and current state, eliminating false positives while maintaining simplicity through automation.
Solution Approach 2:
The alarm system performs self-adjustment by automatically learning from historical data and adapting thresholds without requiring manual reconfiguration. The system serves itself by continuously improving its detection accuracy through automated pattern recognition and threshold optimization based on actual well performance.
2Reliability
If multiple sensors and advanced signal processing are deployed to reduce false alarms, then alarm accuracy improves, but device complexity increases
Solution Approach 1:
Multiple sensor inputs and signal processing functions are merged into an integrated alarm management system. The system combines data from various sensors and applies multiple analysis techniques (rate of change detection, pattern recognition, threshold comparison) within a unified framework, reducing overall system complexity while improving reliability.
Solution Approach 2:
The alarm system is designed as a multi-functional platform that performs diverse functions including real-time monitoring, historical analysis, threshold adaptation, and multiple detection methods. This universal system handles various alarm scenarios and well conditions through a single integrated solution rather than separate specialized systems.
Data Source
AI summary
A technique facilitates smart alarming, event detection, and/or event mitigation. The smart alarming may be achieved by, for example, automating detection processes and using advanced signal processing techniques. In some applications, event detection is enhanced by combining different alarms to facilitate diagnosis of a condition, e.g. a pump condition. The occurrence of certain unwanted events can be mitigated by automatically adjusting operation of a well system according to suitable protocols for a given event.