Wellbore Sensor Network for Fluid Migration Detection
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Solution Overview
Problem
Monitoring the state of a well and its surrounding formation is challenging, particularly in detecting issues like corrosion, cement quality, and fluid migration, as existing methods lack continuous and high-resolution monitoring capabilities.
Innovation Solution
A system comprising interconnected sensors distributed along the length and circumference of the well casing to measure internal pressure and strain, allowing for continuous monitoring of corrosion, cement quality, and fluid migration by determining casing thickness and strain patterns over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring methods are used, then device complexity is reduced, but measurement precision and continuous monitoring capability are insufficient
Solution Approach 1:
The monitoring system is divided into multiple independent sensor nodes distributed along the wellbore, with each node containing strain gauges, temperature sensors, and pressure transducers. This segmentation allows high-resolution monitoring at multiple locations simultaneously while keeping individual sensor units relatively simple and modular.
Solution Approach 2:
Sensors are nested within protective housings that are cemented into the wellbore annulus, with strain gauges wrapped around the casing at specific intervals. This nested arrangement protects sensitive measurement elements while maintaining their monitoring capability throughout the wellbore length.
2Measurement precision
If sensors are distributed along the length and circumference of the casing, then measurement precision improves, but device complexity increases
Solution Approach 1:
The casing monitoring is divided into multiple measurement zones along the wellbore length, with each zone containing strain gauges at specific angular positions. This segmentation enables precise localization of corrosion while using standardized sensor modules that reduce overall system complexity.
Solution Approach 2:
Strain gauges are strategically positioned at specific locations around the casing circumference where corrosion is most likely to occur, rather than uniformly distributing all sensors. This local quality approach concentrates measurement precision where needed while reducing the total number of sensors required.
3Reliability
If continuous monitoring is implemented, then reliability improves, but use of energy increases
Solution Approach 1:
The monitoring system uses periodic sampling of sensor data at predetermined intervals rather than continuous analog reading. This periodic action maintains reliable monitoring capability while significantly reducing energy consumption compared to continuous data acquisition and transmission.
Solution Approach 2:
The system includes autonomous alert generation and local data storage capabilities that do not require constant external power or communication. Sensors can continue monitoring and storing data locally even when power is limited, maintaining reliability during energy-constrained periods.
4Measurement precision
If strain measurements are taken at multiple locations, then measurement precision improves, but difficulty of detecting and measuring increases
Solution Approach 1:
Multiple strain measurements from different locations and orientations are combined using computational methods to calculate equivalent corrosion rates and structural integrity indices. This merging approach maintains high measurement precision while simplifying the interpretation of complex multi-point data through integrated analysis.
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 continuous, high-resolution monitoring of well conditions, facilitating early detection of issues and improving operational efficiency by providing detailed insights into well integrity and fluid dynamics.
Implementation Method 1
measuring strain of the casing with a system comprising at least one string of interconnected sensors that is arranged such that the sensors are distributed along a length and the circumference of the casing
Implementation Method 2
a pump configured to control internal pressure of the casing
Implementation Method 3
a gauge configured to measure internal pressure of the casing
Data Source
AI summary
A method for identifying fluid migration or inflow associated with a wellbore tubular, comprises measuring strain of the wellbore tubular with a system comprising at least one string of interconnected sensors that is arranged such that the sensors are distributed along a length and the circumference of the wellbore tubular; establishing a baseline that is a function of steady state strain measurements within a first time period; and identifying fluid migration or inflow where strain measurements substantially deviate from the baseline within a second time period.