Flexible Pipeline Sensor Calibration via Thermal Strain
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Solution Overview
Problem
Existing methods for monitoring flexible pipelines in offshore oil and gas production are prone to human error and misinterpretation due to improper sensor mounting or faulty sensors, leading to potential failures going undetected or falsely identified.
Innovation Solution
A calibration method that involves attaching sensors to the traction armor wires and inducing a controlled temperature variation to measure strain changes, allowing for the detection of improperly attached or faulty sensors, ensuring accurate data interpretation without disrupting pipeline operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are attached to traction armor wires for monitoring flexible pipelines, then monitoring capability is improved, but sensor mounting errors and faulty sensors cause measurement inaccuracies
Solution Approach 1:
The patent applies preliminary action by performing sensor calibration before actual pipeline monitoring. The calibration process involves attaching test weights to the pipeline and comparing sensor readings against known values, allowing identification and correction of mounting errors or faulty sensors before they compromise measurement accuracy in real operations.
Solution Approach 2:
The patent implements feedback through a calibration verification process where sensor readings are compared against predetermined reference values (test weights). This feedback mechanism identifies sensors with deviations beyond acceptable thresholds, enabling corrective actions such as remounting or replacement to restore measurement precision.
2Measurement precision
If calibration procedures are implemented to detect sensor issues, then measurement precision is improved, but calibration time and operational disruption increase
Solution Approach 1:
The patent applies partial action by calibrating only the specific sensors that require verification rather than recalibrating the entire monitoring system. The selective calibration approach focuses resources on sensors showing deviations or those installed in critical locations, reducing overall calibration time while maintaining measurement precision.
Solution Approach 2:
The calibration process is performed as a preliminary step during sensor installation or scheduled maintenance intervals, rather than waiting for failures to occur. This proactive timing allows calibration to be completed before critical operations begin, minimizing disruption to pipeline monitoring and reducing emergency calibration time pressures.
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
This method prevents misreadings and ensures reliable monitoring of flexible pipelines, reducing the risk of environmental disasters by identifying and correcting sensor issues in real-time without stopping production.
Implementation Method 1
inducing a controlled temperature variation to measure strain changes
Implementation Method 2
inducing a controlled temperature variation
Data Source
Figure 1~2
Figure 3~4
AI summary
The invention, in general, refers to flexible pipelines used to explore and produce oil and gas and, more specifically, the invention relates to a calibration method for monitoring these flexible pipelines. According with an embodiment of the invention, the method is applied to a flexible pipeline comprising at least one traction armor layer wherein the traction armor layer consists of one or more layers comprising at leas one helicoidally-arranged metallic wire, wherein said flexible pipeline is mounted on a topside fitting which comprises an inspection window, and wherein the method comprises the steps of: fastening at least one sensor to at least one traction armor wire; inducing a temperature variation in said sensor and in said (at least one) wire; carrying out a reading of the strain variation undergone by the sensor due to the temperature variation; and identifying a potential failure.