Well Construction Data Tagging for Operational State Estimation
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Solution Overview
Problem
Current well construction systems lack a comprehensive method to accurately estimate and analyze the operational state and performance of drilling operations, relying on fragmented data from various sensors and manual inputs, which hinders efficient monitoring and optimization.
Innovation Solution
A digital description of the well construction system is created, including a list of components and their relationships, with data collection from sensors and manual inputs, tagged with location information, allowing for integrated analysis of sensor and non-sensor data to determine the operational state and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors and data collection methods are used to improve operational state estimation, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments data collection into multiple independent data sources (sensor data, operational state data, manual input data) that can be collected, stored, and processed separately. Each data source is tagged with identification information linking it to specific components, allowing the complex system to be managed through modular, independent data streams rather than a monolithic complex system.
Solution Approach 2:
A digital description of the well construction system acts as an intermediary layer between the physical system and the data analysis processes. This digital model includes component relationships and locational information, serving as a mediator that organizes and contextualizes data from multiple sources without requiring direct complex interactions between all system components.
2Loss of information
If comprehensive data from multiple sources is collected to improve operational awareness, then information completeness is improved, but data processing complexity increases
Solution Approach 1:
The system merges multiple types of data (sensor data, operational state data, manual input data) into a unified data structure with consistent tagging using identification information. This allows comprehensive information to be collected and processed together as an integrated dataset rather than separate fragmented data streams, reducing processing complexity while maintaining information completeness.
Solution Approach 2:
A digital description (virtual model) of the well construction system is created and maintained, which copies the essential structure and relationships of the physical system. This digital copy allows comprehensive operational information to be analyzed and processed in the virtual space without requiring direct manipulation of the complex physical system, simplifying data processing while preserving information completeness.
3Measurement precision
If data is tagged with location and component identification to improve data accuracy, then measurement precision is improved, but ease of operation decreases
Solution Approach 1:
The data collection system automatically tags data with identification information linking to specific components and locations in the digital description. This self-service tagging mechanism eliminates the need for manual identification input, maintaining high data accuracy while preserving operational simplicity. The system performs the tagging function automatically as part of the data collection process.
4Loss of information
If a digital description of component relationships is created to improve system understanding, then loss of information is reduced, but device complexity increases
Solution Approach 1:
A digital description that copies the essential structure, components, and locational relationships of the well construction system is created. This virtual model preserves system contextual information without requiring the physical system to be physically reorganized or instrumented extensively. The digital copy maintains system understanding while avoiding the complexity of physical modifications.
Data Source
AI summary
A method includes creating a digital description of the well construction system, wherein the digital description of the well construction system describes the locational relationship of components in the well construction system, collecting multiple types of data from a well construction system, and tagging the collected data with an identification indicating at least one of a location of a source of collected data and a component in the well construction system from which the data is collected. The multiple types of data include sensor data collected from one or more sensors disposed along the well construction system and operational state data indicating an on/off status of one or more components in the well construction system.