Acoustic Emission Sensor for Cement Sheath Integrity Monitoring
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Solution Overview
Problem
Monitoring the structural integrity of cement sheaths in wellbore systems is challenging due to difficulties in detecting early signs of failure, such as cracking or debonding, which can lead to well component damage and operational disruptions.
Innovation Solution
A system utilizing acoustic emission sensors to detect stress waves emitted by the cement sheath, processing these signals to determine the structural integrity, and outputting notifications to well operators when failure is imminent, allowing for preventive measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If acoustic emission sensors are deployed to detect early signs of cement sheath failure, then the reliability of wellbore monitoring is improved, but the device complexity increases
Solution Approach 1:
The patent replaces complex mechanical monitoring systems with acoustic emission sensing technology. Acoustic sensors detect stress waves and micro-fractures in the cement sheath, converting mechanical failure signs into acoustic signals for analysis. This substitution simplifies the overall system while improving reliability through non-intrusive continuous monitoring capability.
Solution Approach 2:
The patent introduces acoustic emission sensors as intermediary devices between the cement sheath and the monitoring system. These sensors act as mediators that detect early failure signs (stress waves, micro-fractures) and transmit this information to the analysis system, enabling indirect but effective monitoring of cement sheath integrity without direct intervention.
2Measurement precision
If continuous monitoring of cement sheath is implemented using acoustic emissions, then the detection precision of early failure signs is improved, but the loss of time for data processing increases
Solution Approach 1:
The patent implements preliminary action by continuously collecting and pre-processing acoustic emission data in real-time as it is generated. The system maintains a running analysis of acoustic signals, pre-identifying patterns that indicate early failure signs. This allows the system to rapidly respond when actual failure occurs, reducing the effective processing time needed for critical decisions.
Solution Approach 2:
The patent establishes a feedback mechanism where acoustic emission data is continuously analyzed and results are fed back to adjust monitoring parameters. The system learns from accumulated data, refining its detection algorithms and reducing processing time for future analyses. This feedback loop improves measurement precision over time while optimizing data processing efficiency.
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 timely detection of cement sheath failure, allowing operators to take corrective actions, thereby preventing damage and ensuring well operations' safety and efficiency.
Implementation Method 1
When a material (e.g., cement) becomes stressed, the material can emit an acoustic emission (i.e., an acoustic stress wave) in a specific frequency range
Implementation Method 2
An acoustic emission sensor, such as a microphone, can be positioned to detect such acoustic emissions from a cement sheath in a wellbore
Data Source
AI summary
A system is provided that can include an acoustic emission sensor. The acoustic emission sensor can be positionable for detecting an acoustic emission from a cement sheath in a wellbore. The acoustic emission sensor can be operable to transmit a sensor signal associated with the acoustic emission. The system can also include a processing device in communication with the acoustic emission sensor. The system can further include a memory device in which instructions executable by the processing device are stored for causing the processing device to: receive the sensor signal; determine a characteristic associated with the sensor signal; and determine a structural integrity of the cement sheath based on the characteristic associated with the sensor signal.