Multi-Parameter Fiber Optic Sensing for Reservoir Compaction
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Solution Overview
Problem
Current monitoring technologies are inadequate for accurately anticipating and mitigating compaction and subsidence in oil and gas reservoirs, which can lead to well failures and reduced hydrocarbon production efficiency, as they lack comprehensive, real-time multi-parameter sensing capabilities.
Innovation Solution
Deployment of multi-parameter distributed sensing cables and micro-deformation sensors in wells to monitor wellbore strain, electromagnetic, acoustic, temperature, and pressure changes, enabling the creation of a compaction and subsidence model that updates reservoir models and optimizes production and injection rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional individual sensors are used for monitoring, then device complexity is reduced, but measurement precision and reliability of compaction monitoring deteriorate
Solution Approach 1:
The patent combines multiple sensing capabilities (strain, temperature, acoustic, electromagnetic) into a single distributed fiber optic sensing system. This merging of multiple sensor functions into one integrated system provides comprehensive multi-parameter monitoring while maintaining high measurement precision and avoiding the complexity of deploying multiple separate sensor systems.
Solution Approach 2:
The distributed fiber optic sensing system performs multiple monitoring functions simultaneously - measuring strain, temperature, acoustic signals, and electromagnetic fields along the wellbore. This multi-functional approach replaces traditional single-purpose sensors, providing comprehensive compaction monitoring through a universal sensing platform that handles multiple parameters with one system.
2Reliability
If comprehensive multi-parameter sensing is implemented, then reliability of compaction prediction improves, but device complexity increases
Solution Approach 1:
The patent integrates multiple sensing modalities (strain gauges, temperature sensors, acoustic sensors, electromagnetic sensors) into a single distributed fiber optic cable system. This consolidation provides reliable multi-parameter data for compaction prediction while avoiding the complexity of installing and maintaining multiple separate sensor systems throughout the wellbore.
Solution Approach 2:
The patent replaces traditional mechanical sensor systems with optical fiber-based distributed sensing. This substitution eliminates the need for complex mechanical sensor assemblies, power connections, and signal wiring, while providing enhanced reliability through the inherent durability and sensitivity of optical fiber technology for monitoring compaction phenomena.
3Productivity
If real-time monitoring data is collected from multiple parameters, then productivity of reservoir management improves, but loss of energy increases
Solution Approach 1:
The distributed fiber optic sensing system enables continuous real-time monitoring of strain, temperature, acoustic, and electromagnetic parameters along the entire wellbore simultaneously. This continuous multi-parameter data collection provides comprehensive insights into compaction and subsidence phenomena, improving reservoir management productivity through timely decision-making while the system's passive optical nature minimizes energy consumption compared to active electronic sensor systems.
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 approach provides deeper insights into compaction and subsidence phenomena, enhancing well integrity and production efficiency by allowing proactive management of reservoir conditions and reducing the impact of compaction and subsidence on field-level operations.
Implementation Method 1
Fiber optic distributed sensing systems are often based on Optical Time-Domain Reflectometry (OTDR) and utilizes techniques originally derived from telecommunications cable testing
Implementation Method 2
The cable will be a truly distributed multi-parameter cable capable of monitoring several parameters of interest in subsurface wells including, but not limited to, wellbore strain, acoustic, electromagnetic, and temperature changes
Implementation Method 3
DAS can also be used to monitor production in production wells as well as injection profiles in water injection wells
Data Source
AI summary
Many monitoring systems, including distributed fiber optic sensing systems, are deployed to measure temperature, strain, acoustic, pressure, and electromagnetic data in a multi-well hydrocarbon field. By coupling disparate fiber optic cables together for strain sensing, a tubular cable is created that can be spooled and deployed as a single unit while allowing for multi-parameter sensing. Multiple tubular cables can measure and transmit sensing data from wellbores and geological formations. The data can be used to continually update a reservoir model and optimize production efficiency while also managing and mitigating subsidence by controlling injection and production rates.