Global Fluid Identity Repository for Stale Model Detection
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Solution Overview
Problem
The management of fluid characterization data in the oil & gas industry is piecemeal and ad hoc, making it difficult to determine the optimum characterization of a fluid due to the growth of understanding through additional testing and experimentation by multiple individuals and organizations.
Innovation Solution
A computer-implemented global fluid identity repository maintains a plurality of global fluid identities, tracks changes to fluid characterization data, and generates notifications when fluid model data becomes stale, facilitating automatic updates and simulations using an updated fluid model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fluid characterization data is managed in a piecemeal and ad hoc manner across multiple individuals and organizations, then each entity can independently conduct testing and experimentation, but it becomes difficult to determine the optimum characterization of a fluid and maintain data consistency
Solution Approach 1:
The patent merges scattered fluid characterization data from multiple individuals and organizations into a single centralized repository. The system consolidates fluid samples, experiment data, fluid models, and simulation results into one unified location, eliminating data silos while preserving the ability of multiple entities to contribute their specialized testing and experimentation capabilities.
Solution Approach 2:
The centralized repository serves multiple functions simultaneously: it acts as a data storage facility, a collaboration platform, a version control system, and a notification hub. This multi-functional approach allows the system to handle diverse data types (fluid samples, experiment results, models, simulations) from multiple sources while maintaining consistency and enabling optimal fluid characterization.
2Measurement precision
If additional testing and experimentation are performed by multiple individuals and organizations to grow understanding of a fluid, then the quality and completeness of fluid characterization improves, but data management complexity increases
Solution Approach 1:
The system segments fluid characterization data into distinct, organized categories: fluid samples, experiment data, fluid models, and simulation results. Each category is stored and managed independently within the centralized repository, allowing multiple individuals and organizations to contribute their specialized data without creating management chaos. This segmentation maintains measurement precision while controlling complexity through structured organization.
Solution Approach 2:
The system implements automatic notification mechanisms that provide feedback when fluid model data becomes stale. This feedback loop ensures that as additional testing and experimentation occur, the system automatically detects when updates are needed and notifies relevant users, maintaining data quality without requiring complex manual management procedures.
3Stability of the object's composition
If fluid model data is not regularly updated, then system stability is maintained, but the accuracy and relevance of fluid characterization deteriorates
Solution Approach 1:
The system employs automatic feedback mechanisms through notification services that monitor fluid model data for staleness. When experiment data or fluid samples are updated, the system automatically detects when associated fluid models need updating and notifies relevant users. This feedback loop maintains fluid model accuracy without compromising system stability, as updates occur systematically rather than chaotically.
Solution Approach 2:
The system performs preliminary actions by proactively notifying users before fluid model data becomes significantly stale. The notification service detects potential staleness conditions in advance and alerts users to update their models, preventing accuracy deterioration before it occurs. This preliminary action maintains reliability while preserving system stability through planned, rather than reactive, updates.
Data Source
AI summary
A global fluid identity repository is used to maintain and manage fluid characterization data for various fluids utilized in the oil & gas industry, e.g., reservoir fluids within subsurface formations. Tracking and notification services may be utilized to track changes made to a global fluid identity, e.g., changes in fluid sample and/or experiment data for a fluid, and automatically generate notifications when downstream data such as fluid models and/or simulation results become stale as a result of these changes.