Real-Time Electromagnetic Telemetry Bit Allocation
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Solution Overview
Problem
Conventional downhole tools face challenges in transmitting high-resolution data from wellbores to the surface due to data corruption and limited flexibility in bit rate/quality adjustments, especially in bi-directional communication scenarios where re-compressing data increases complexity and fails to utilize low-quality data effectively.
Innovation Solution
A method that allocates a portion of the bit budget from a second data block to a corrupted first block to re-transmit or improve its quality, using progressive compression algorithms to store and retrieve additional bits, allowing for real-time compression and storage of data blocks with varying bit rates, and optimizing bit allocation based on data features and signal-to-noise ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is compressed using traditional algorithms optimized for a particular bit-rate/quality level, then compression efficiency is improved, but flexibility in changing bit rate/quality attributes deteriorates
Solution Approach 1:
The patent implements dynamic bit rate allocation where the system can adjust the bit rate for different data blocks based on channel conditions and quality requirements. The compression system transitions from static, fixed-bit-rate compression to dynamic, adaptive compression that reallocates bits between blocks, enabling flexibility in quality adjustment while maintaining overall compression efficiency.
Solution Approach 2:
The system changes the parameter of bit rate allocation dynamically. Instead of compressing each block at a fixed bit rate, the system allows the bit rate parameter to vary between blocks, enabling quality improvement for specific blocks by allocating more bits from the overall budget, while maintaining compression efficiency through progressive compression techniques.
2Adaptability or versatility
If data is re-compressed to meet new target specifications, then quality adaptability is improved, but algorithm complexity increases
Solution Approach 1:
The patent applies preliminary compression to create a base compressed representation, then uses incremental updates rather than full re-compression. The system prepares data in advance with a compression structure that allows for efficient quality adjustments through bit reallocation, avoiding the complexity of repeated full compressions while maintaining adaptability.
Solution Approach 2:
The system discards the approach of complete re-compression and recovers efficiency by working with the existing compressed structure. Instead of throwing away and re-compressing data, the system reallocates bits within the existing compression framework, recovering computational efficiency while achieving quality adaptability.
3Productivity
If low quality version of data is available at surface, then transmission efficiency is improved, but ability to improve quality deteriorates
Solution Approach 1:
The patent implements a nested compression structure where a low-quality base version is embedded within a progressive bit stream that contains additional quality information. The low-quality version provides immediate transmission efficiency, while the nested structure allows incremental quality improvement by adding more bits from the same compressed representation, enabling both efficiency and adaptability.
Solution Approach 2:
The system uses feedback from the available bit budget and quality requirements to dynamically adjust the allocation of bits between the base low-quality transmission and the incremental quality improvements. This feedback mechanism allows the system to maintain transmission efficiency while providing the ability to improve quality when needed.
4Reliability
If bit budget is allocated to re-transmit corrupted data, then data reliability is improved, but transmission of new data deteriorates
Solution Approach 1:
The system dynamically changes the bit allocation parameters based on the detected corruption. When corruption is detected, the system reallocates the bit budget parameter to favor re-transmission of corrupted blocks, accepting reduced transmission of new data. This parameter adjustment maintains reliability while managing the trade-off with new data transmission throughput.
Solution Approach 2:
The patent implements dynamic bit budget allocation that adapts to channel conditions and data integrity requirements. The system transitions between different operational modes: when channel conditions are good, more bits are allocated to new data transmission; when corruption occurs, the system dynamically shifts bits to re-transmit corrupted data, maintaining reliability while managing overall transmission productivity.
Data Source
AI summary
A method for improving a quality of data received from a downhole tool in a wellbore includes receiving a first block of data from a downhole tool in a wellbore. The first block of data represents a first measurement captured by the downhole tool during a first period of time. At least a portion of a bit budget for a second block of data is allocated to the first block of data to produce an updated first block of data. The method also includes receiving the second block of data from the downhole tool in the wellbore. The second block of data represents a second measurement captured by the downhole tool during a second period of time.