Drill Tool Health Evaluation Using Multi-Source Sensor Data
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Solution Overview
Problem
Determining the health of drill tools during drilling operations is challenging, especially when they are downhole, as existing methods lack comprehensive and real-time evaluation capabilities, leading to potential delays and inefficiencies in decision-making.
Innovation Solution
A system and methodology that collect data from both downhole and surface sources using sensors and processing systems, enabling real-time health evaluation of drill tools before they are retrieved, by aggregating data from various sources and utilizing adaptable health models and algorithms to provide a comprehensive bill of health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive data collection from multiple sources is implemented, then measurement precision of tool health is improved, but device complexity increases
Solution Approach 1:
The system divides the health evaluation process into distinct functional modules: data collection module that gathers data from multiple sources (sensors on tool, downhole sources, surface sources), data transmission module, and processing module. This segmentation allows each component to specialize in specific tasks, improving overall measurement precision while managing system complexity through modular architecture.
Solution Approach 2:
The processor system is designed to handle multiple functions: collecting tool data from the tool itself, accumulating additional data from downhole and surface sources, transmitting data to the surface, and performing real-time processing. This multi-functionality consolidates what would otherwise require separate systems, improving measurement precision without proportionally increasing device complexity.
2Loss of time
If real-time processing is performed, then loss of time is reduced, but use of energy increases
Solution Approach 1:
The system performs data processing in real-time as data is received from downhole, rather than waiting until the tool is retrieved to the surface. This preliminary action enables comprehensive diagnosis of tool health before retrieval, reducing loss of time in decision-making while the energy consumption is managed through efficient processing algorithms and selective data transmission.
3Measurement precision
If data is transmitted to surface for processing, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system transmits tool data to the surface for processing during or immediately after the drilling operation, enabling comprehensive diagnosis to be performed before the tool is retrieved to the surface. This preliminary action ensures that health evaluation is completed while the tool is still downhole, improving measurement precision without causing significant loss of time in the overall operation.
Data Source
AI summary
A technique facilitates evaluation of a tool, such as a drill tool. The technique comprises collecting tool data via a sensor on a given tool during use of that tool in a given operation, e.g. drilling operation. Additional data related to the tool is accumulated from a plurality of sources external to the tool. For example, data may be collected from both downhole sources and surface sources. Upon completion of the operation, the tool data is transmitted to the surface for processing on a processor system in combination with the data cumulated from sources external to the tool. The processing may be performed in real time as the tool data is received from downhole to enable a comprehensive diagnosis of tool health prior to retrieval of the tool to the surface.