Downhole Modem Encoding and Decimation for Well-Test Data Bandwidth
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Solution Overview
Problem
Existing downhole communication systems face challenges in accurately and reliably transmitting complex data between downhole locations and the surface, particularly in the oil and gas industry, where efficient data compression and dynamic sensor data management are needed to optimize bandwidth usage and ensure real-time data reconstruction.
Innovation Solution
A modem system with a transceiver assembly, processor-readable medium, and power supply that performs lossless or near-lossless data compression by calculating and recalculating the output bit stream size, decimating data if necessary, and selecting the most efficient encoding scheme to encode data within a predetermined budget, while also continuously interrogating sensors for dynamic data mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is transmitted with full precision and without compression, then measurement precision is maintained, but bandwidth consumption increases and transmission time is excessive
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the precision level of data transmission based on the specific measurement parameter. Different parameters (e.g., temperature, pressure, flow rate) are transmitted at different precision levels appropriate to their measurement requirements, optimizing both data quality and transmission efficiency without unnecessary bandwidth consumption.
Solution Approach 2:
The patent implements local quality by applying different compression and precision strategies to different data parameters individually. Each measurement parameter is evaluated and transmitted with the specific precision level it requires, rather than applying uniform compression or full precision to all data, thereby maintaining necessary measurement accuracy while improving overall transmission efficiency.
2Productivity
If data is compressed to save bandwidth, then transmission efficiency is improved, but data reconstruction accuracy may deteriorate
Solution Approach 1:
The patent uses parameter changes by adapting the compression level and method based on the characteristics of each measurement parameter. Parameters that require high accuracy are transmitted with minimal or no compression, while parameters with lower precision requirements undergo more aggressive compression, thereby maintaining reconstruction accuracy where needed while improving overall transmission efficiency.
Solution Approach 2:
The patent applies local quality by implementing selective compression strategies for different data parameters. Each parameter is evaluated individually and compressed to the appropriate level that maintains its reconstruction accuracy requirements, preventing uniform over-compression that would degrade all data quality.
3Productivity
If multiple compression schemes are tested and selected, then compression efficiency is optimized, but device complexity increases
Solution Approach 1:
The patent applies dynamics by implementing a dynamic compression scheme selection process that adapts to the characteristics of the data being transmitted. The system tests multiple compression schemes and selects the most efficient one based on the specific parameter and data characteristics, rather than using a fixed compression method, thereby optimizing compression efficiency while managing complexity through adaptive decision-making.
4Productivity
If data points are equally distributed to save bandwidth, then bandwidth usage is optimized, but time distribution of data points becomes rigid and may miss critical events
Solution Approach 1:
The patent implements dynamics by transitioning from equal distribution to adaptive distribution of data points. The system dynamically adjusts the timing and frequency of data point transmission based on the specific parameter being measured and the observed behavior of that parameter, allowing for higher resolution during critical events while maintaining bandwidth efficiency during stable conditions.
Solution Approach 2:
The patent applies preliminary action by pre-defining distribution strategies for different parameter types and conditions. The system is configured with predetermined rules for data point distribution that are applied based on the specific measurement parameter and its characteristics, enabling optimized bandwidth usage while ensuring adequate coverage for different measurement scenarios.
Data Source
AI summary
A modem is described having a transceiver assembly, a non-transitory processor readable medium coupled to the transceiver assembly, transceiver electronics coupled to the transceiver and the non-transitory processor readable medium, and a power supply supplying power to the transceiver assembly and the transceiver electronics. The transceiver electronics are configured to calculate a size of an output bit stream based on an encoding scheme to encode for transmission data stored in the non-transitory processor readable medium, decimate the data if the size of the output bit stream exceeds a predetermined size, recalculate the size of the output bit stream, after decimation of the data, based on the encoding scheme to encode for transmission the decimated data, and encode the data using the encoding scheme.