Relationship Tagging for Well Construction Data Management
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Solution Overview
Problem
Current well construction systems face challenges in efficiently managing and interpreting data from various sources, leading to difficulties in optimizing operations, verifying data integrity, and ensuring security, due to complex physical layouts and relationships between equipment and data sources.
Innovation Solution
A processing system that receives and matches data from sources with expressions of relationships to a relationship descriptor, which describes the physical layout and connections of the well construction system, allowing for the determination of secondary information and derivative data, enabling optimized operations, data validation, and security monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from multiple sources is collected and managed in complex well construction systems, then data completeness and information availability are improved, but data management complexity and interpretation difficulty increase
Solution Approach 1:
The patent segments data management by creating separate relationship descriptors for different equipment and data sources. Each descriptor independently defines relationships between specific data sources and their corresponding equipment, locations, or parameters. This segmentation allows the system to manage complex multi-source data by breaking it into manageable, standardized relationship units that can be processed independently yet integrated systematically.
Solution Approach 2:
The patent introduces relationship descriptors as intermediary structures that mediate between raw data from multiple sources and the interpretation system. These descriptors serve as a standardized interface layer that translates diverse data source relationships into a common format, enabling the system to handle information from various equipment without direct complex interconnections between all data sources.
2Measurement precision
If the physical layout and relationships of equipment are detailedly described, then data interpretation accuracy is improved, but system configuration complexity increases
Solution Approach 1:
The patent transforms the physical layout description into standardized relational parameters defined in relationship descriptors. Instead of maintaining complex physical layout details directly, the system changes the representation to parameter-based relationships that specify data source associations, equipment connections, and spatial relationships in a standardized format. This parameter transformation maintains interpretation accuracy while reducing configuration complexity.
Solution Approach 2:
The patent creates simplified copies or representations of the physical layout through relationship descriptors. Rather than directly managing the full complexity of physical equipment arrangements, the system uses descriptor copies that capture essential relationships and connections needed for data interpretation. These descriptor copies preserve the necessary structural information while being more manageable and easier to configure.
3Adaptability or versatility
If data sources are dynamically added or removed in well construction systems, then system adaptability is improved, but data relationship management difficulty increases
Solution Approach 1:
The patent implements dynamic relationship management through configurable relationship descriptors that can be added, modified, or removed based on system changes. The descriptor structure allows relationships to be dynamically updated to reflect changes in data sources, equipment configurations, or physical layouts. This dynamic approach enables the system to adapt to changing well construction requirements while maintaining consistent relationship management through the standardized descriptor format.
Solution Approach 2:
The patent creates a universal relationship descriptor structure that serves multiple functions: defining data source relationships, specifying equipment connections, describing spatial layouts, and enabling data interpretation. This multi-functional descriptor universally handles various types of relationships across different equipment and data sources, simplifying management when sources are added or removed since the same descriptor structure applies to all relationship types.
Data Source
AI summary
Processing systems and methods for receiving captured data of a data source attached with an expression of a relationship between the data source and a well construction system. The expression of the relationship between the data source and the well construction system is matched with an expression in a relationship descriptor including a description of a well construction system physical layout. The relationship descriptor also includes respective expressions of relationships between data sources and locations, equipment, and/or components of the well construction system. The expression in the relationship descriptor is one of the respective expressions. Secondary information is determined based on the captured data and the matched expression in the relationship descriptor.