Rotary Steerable Sensor Scheduling for Real-Time Fault Diagnosis
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Solution Overview
Problem
Current directional drilling technologies lack automated systems for real-time fault diagnosis and decision support, relying heavily on human interpretation of sensor data, which can lead to suboptimal sensor selection and drilling performance issues due to the complexity of rotary steerable systems (RSS) and environmental factors.
Innovation Solution
An intelligent and interactive real-time fault diagnosis and decision support system that uses an information handling system to process data from sensors, generate event flags for potential failures, and automatically adjust drilling operations by selecting optimal sensor configurations to maintain accurate well placement and reduce non-productive time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated sensor selection and fault diagnosis systems are implemented, then drilling performance and accuracy are improved, but device complexity increases
Solution Approach 1:
The system automatically selects optimal sensors and diagnoses faults without human intervention. The processor autonomously evaluates sensor data quality, identifies degraded sensors, and switches to alternative sensors or algorithms, enabling the system to self-manage measurement precision despite complex environmental conditions
Solution Approach 2:
The system continuously monitors sensor data quality and provides real-time feedback on measurement reliability. Event flags are generated based on data quality assessment, creating a closed-loop feedback mechanism that maintains measurement precision by adapting to changing sensor performance during drilling operations
2Loss of time
If real-time automated fault diagnosis is implemented, then reaction time is reduced, but information processing requirements increase
Solution Approach 1:
The system pre-establishes multiple sensor configurations and alternative algorithms before drilling operations begin. When sensor degradation is detected, the system can immediately switch to pre-configured alternatives without requiring complex real-time decision-making, reducing reaction time while managing processing load through pre-computation
Solution Approach 2:
The system extracts and processes only critical information from sensor data streams, focusing computational resources on detecting sensor degradation and selecting alternative measurements. By filtering out non-essential data processing, the system reduces information processing requirements while maintaining fast reaction times for fault diagnosis
3Reliability
If multiple sensors are used to compensate for degradation, then measurement reliability is improved, but device complexity increases
Solution Approach 1:
Multiple sensors are configured to measure the same physical parameters (inclination, azimuth, tool face) using different methodologies. This universal approach allows any sensor to compensate for another's degradation, improving measurement reliability while managing complexity through functional redundancy rather than diverse specialized components
Solution Approach 2:
The system changes measurement parameters by switching between different sensor types and measurement algorithms based on detected degradation. When one sensor's parameters degrade, the system adjusts by utilizing alternative sensor parameters or computational methods, maintaining reliability through dynamic parameter adaptation rather than fixed complex configurations
Data Source
AI summary
A method and system for a rotary steerable system (RSS). The method may comprise performing a tool position calculation from the one or more measurements and creating one or more event flags based at least in part on a location of the RSS in a formation, wherein the one or more event flags are created by an information handling system disposed on a bottom hole assembly. The method may also comprise selecting an algorithm for the tool position calculation based on the one or more event flags. The system may comprise one or more sensors configured to take one or more measurements and an information handling system disposed on a bottom hole assembly.