Well Measurement Telemetry Using Recoverable Lossy Transformations
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Solution Overview
Problem
Conventional telemetry systems in subsea environments face bandwidth constraints and security concerns, preventing timely and secure communication of measurement data from wells due to the use of lossy telemetry stages, which hinder the application of compression and encryption.
Innovation Solution
Applying transformations such as data compression or encryption to measurement data from downhole sensors, allowing for efficient transmission through a subsea telemetry system with a lossy compression algorithm, and retransforming the data back into meaningful values at the destination, while maintaining data security and optimizing bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data compression or encryption is applied to measurement data, then bandwidth efficiency and data security are improved, but the lossy telemetry stage discards transformed data preventing timely communication
Solution Approach 1:
The system performs preliminary actions by selecting and prioritizing which measurement data to transmit before the lossy telemetry stage discards data. The intelligent well controller identifies high-priority data based on predefined criteria and transmission schedules, ensuring critical information is sent before bandwidth constraints cause discarding. This resolves the contradiction by proactively managing data transmission to maintain timeliness while achieving compression efficiency.
2Productivity
If data compression or encryption is applied to measurement data, then bandwidth efficiency and data security are improved, but the lossy telemetry stage discards transformed data compromising data integrity
Solution Approach 1:
The system changes parameters by dynamically adjusting compression levels, encryption methods, and data prioritization criteria based on well conditions, telemetry performance, and security requirements. When bandwidth is constrained, the system modifies which data parameters are transmitted and at what quality level, ensuring critical parameters maintain integrity while less critical data undergoes higher compression. This resolves the contradiction by adaptively managing data integrity across different bandwidth conditions.
3Loss of information
If more measurement data is transmitted to overcome bandwidth constraints, then data completeness is improved, but bandwidth consumption increases preventing timely communication
Solution Approach 1:
The system segments measurement data into priority categories (critical, important, optional) and transmits them in hierarchical batches. High-priority data is transmitted first to ensure completeness of essential information, followed by lower-priority data if bandwidth permits. This segmentation approach ensures data completeness for critical parameters while optimizing bandwidth consumption by not transmitting all data at equal priority, resolving the contradiction between completeness and bandwidth efficiency.
Data Source
AI summary
To communicate measurement data from a well, data corresponding to measurement data collected by multiple sensors in a well is transformed downhole and passed to an intermediate communications device, which device in turn passes a subset of that data to a destination communications device. The destination communications device applies a second transformation to the data received from the intermediate communications device. The first and second transformations are designed such that meaningful data can be recovered at the destination communications device even though only a subset of the original transformed data has been received.