Logging-While-Drilling Telemetry Frame Selection
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Solution Overview
Problem
Current logging-while-drilling (LWD) technologies face limitations in transmitting all desired sensor outputs at precise levels due to restricted data transmission rates, leading to incomplete knowledge of downhole conditions, especially when formation and fluid properties change rapidly.
Innovation Solution
The method involves selecting reduced precision and subsets of sensor measurements based on identified downhole scenarios to adjust telemetry data frame types, ensuring adequate real-time data transmission and enabling effective job management decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all sensor outputs are transmitted at precise levels, then measurement precision is improved, but data transmission rate becomes insufficient
Solution Approach 1:
The patent transmits only a subset of sensor measurements at high precision rather than all sensors, and uses reduced precision for other measurements. This partial transmission approach ensures critical downhole conditions are monitored with adequate precision while maintaining data transmission rate within system capabilities.
Solution Approach 2:
The system dynamically changes the precision parameter of sensor measurements based on downhole scenarios. When formation or fluid properties change rapidly, the system prioritizes transmitting measurements of relevant parameters at higher precision while reducing precision of less critical measurements, adapting to real-time conditions.
2Productivity
If reduced precision and subsets of sensor measurements are used, then data transmission rate is improved, but information completeness deteriorates
Solution Approach 1:
The system performs preliminary identification of downhole scenarios using available sensor data before selecting which measurements to transmit. By pre-identifying the current scenario (e.g., formation type, fluid properties, operational state), the system can prioritize transmission of measurements most relevant to that scenario, ensuring adequate information is captured without exceeding transmission rate limits.
Solution Approach 2:
The system uses feedback from scenario identification to dynamically adjust which sensor measurements are transmitted and at what precision. The scenario identification module continuously monitors downhole conditions and provides feedback to the data selection module, which adjusts the subset of measurements to transmit based on the identified scenario, ensuring information completeness for the current operational context.
Data Source
AI summary
Job monitoring methods and apparatus for logging-while-drilling equipment are disclosed. A disclosed example method includes identifying a downhole scenario based on a property of an underground geological formation, selecting a first telemetry frame type based on the identified downhole scenario, conveying an identifier representative of the selected first telemetry frame type to a downhole fluid sampling tool, and receiving a first telemetry data frame from the downhole fluid sampling tool, the telemetry data frame containing fluid analysis parameters for a fluid, and being constructed in accordance with the selected first telemetry frame type.