Wellbore Measurement Channel Ranking for Telemetry Bandwidth Limits
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Solution Overview
Problem
Existing logging techniques in oil and gas wells generate over 1000 data channels with limited bandwidth, reducing data analysis quality due to the inability to differentiate sensitive from less sensitive channels.
Innovation Solution
Ranking and selecting measurement channels using global sensitivity indices, determined by identifying sampling distributions and noise models, to prioritize the most sensitive channels for telemetry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple triaxial transmitters and receivers from different spacings and frequencies are used, then measurement coverage is improved, but data analysis quality deteriorates due to reduced bandwidth during telemetry
Solution Approach 1:
The patent extracts and transmits only the most sensitive measurement channels (top 10-50%) to the surface, separating the essential data from redundant information. This extraction approach maintains measurement coverage while improving data analysis quality by reducing the volume of data transmitted during telemetry operations.
Solution Approach 2:
The patent applies local quality by differentiating measurement channels based on their sensitivity characteristics. Instead of treating all channels equally, the system identifies and prioritizes local regions (channels) with highest sensitivity to formation properties, transmitting only those with superior quality metrics to maintain precision while managing bandwidth constraints.
2Quantity of substance
If all measurement channels are reviewed, then data completeness is improved, but processing efficiency deteriorates due to inability to differentiate sensitive from less sensitive channels
Solution Approach 1:
The system extracts only the top 10-50% most sensitive channels for detailed analysis and transmission, rather than processing all channels. This extraction maintains data completeness for the most critical measurements while dramatically improving processing efficiency by reducing the computational burden on surface equipment.
Solution Approach 2:
The patent performs preliminary action by pre-calculating sensitivity indices for all measurement channels before drilling operations. These sensitivity rankings are stored and applied during real-time operations to automatically filter and prioritize channels, eliminating the need for real-time differentiation and improving overall processing efficiency.
3Measurement precision
If more measurement channels are transmitted, then data quality is improved, but telemetry bandwidth is reduced
Solution Approach 1:
The system extracts only the essential measurement channels (top 10-50% by sensitivity) for telemetry transmission, maintaining data quality by focusing on the most informative channels while improving telemetry speed by reducing the total data volume transmitted during the drilling operation.
Solution Approach 2:
The patent changes the parameter of channel selection from uniform inclusion to sensitivity-based prioritization. By ranking channels according to their sensitivity indices and selecting based on this parameter, the system optimizes the balance between data quality and telemetry bandwidth utilization.
Data Source
AI summary
The present disclosure provides systems and methods of selecting measurement channels. The methods include receiving a plurality of measurement channels for a logging tool. A plurality of measurement parameters is determined for each measurement channel of the plurality of measurement channels of a formation of a wellbore. A global sensitivity indices is determined, in which determining the global sensitivity indices includes identifying a sampling distribution of the plurality of measurement parameters using a measurement parameter range for each measurement parameter, receiving a noise model, and determining the global sensitivity indices using the measurement parameters, the sampling distribution, and the noise model. Each measurement channel of the plurality of measurement channel is ranked using the global sensitivity indices.