Graphical Indexing for Drilling System Asset Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current subsea oil and gas drilling systems lack real-time life cycle tracking capabilities, relying on manual data entry which is time-consuming, costly, and error-prone, especially when managing large numbers of assets over their entire life cycles.
Innovation Solution
A graphical interface system that allows seamless updating of an operational database for blowout preventer (BOP) stacks, enabling automatic disassociation and association of data with spare components, reducing inaccuracies and facilitating condition-based maintenance by using a combination of RDBMS, NoSQL, document-oriented, and object-oriented databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual data entry is used to track life cycle data, then data can be entered as needed, but the process becomes time-consuming, costly, and error-prone
Solution Approach 1:
The system enables automatic self-updating of life cycle data through integration with operational databases. Configuration changes, maintenance events, and usage data are automatically captured and stored without requiring manual data entry, eliminating errors while maintaining operational flexibility
Solution Approach 2:
The system implements continuous feedback loops where operational data from drilling systems automatically updates life cycle tracking databases. This real-time feedback mechanism ensures data accuracy and eliminates manual intervention while maintaining the ability to track data as needed
2Ease of operation
If manual database reconfiguration is performed when equipment configuration changes, then databases can be updated, but the process is time-consuming and delays reflect configuration changes
Solution Approach 1:
The system pre-establishes integration pathways between operational databases and life cycle tracking databases. When configuration changes occur, the pre-configured automatic update mechanisms immediately capture and propagate changes without requiring manual reconfiguration steps
Solution Approach 2:
Real-time feedback mechanisms continuously monitor equipment configuration and automatically update databases as changes occur. This eliminates the time delay associated with manual reconfiguration by implementing continuous synchronization between operational state and database records
3Ease of operation
If manual tracking is used for a large number of assets, then individual asset data can be managed, but the overall management becomes increasingly time-consuming and costly
Solution Approach 1:
The system implements a universal automated tracking framework that handles multiple assets simultaneously through standardized integration interfaces. This multi-functional approach allows the same automated mechanisms to track configuration changes, maintenance events, and usage data across numerous assets without increasing operational complexity or cost
Solution Approach 2:
Each asset automatically self-updates its life cycle data through integrated sensors and operational systems. This self-service capability eliminates the need for manual data entry for each individual asset, making the management of large asset fleets scalable without proportionally increasing time or cost requirements
4Adaptability or versatility
If configuration changes are made to equipment, then maintenance tasks can be performed, but databases do not reflect changes until manually reconfigured
Solution Approach 1:
The system implements real-time feedback mechanisms that continuously monitor equipment configuration changes and automatically propagate updates to databases. This ensures configuration information accuracy is maintained without restricting the flexibility to perform maintenance tasks and modify equipment configurations
Solution Approach 2:
The system pre-establishes automatic update pathways that are activated whenever configuration changes occur. This preliminary setup ensures that configuration information is captured and stored accurately at the moment of change, maintaining data integrity while preserving equipment adaptability
Data Source
AI summary
Provided is a life cycle tracking system including a memory and a processor. The memory includes instructions that, when executed by the processor, cause the processor to perform certain operations. For example, the operations can include effecting a change in a first database including data related to a set of components installed on a blowout preventer stack, in response to a drag and drop operation having been performed on a human machine interface. The change can include associating information from a second database to the first database. The second database includes data related to a set of spare components.