Orchestration Framework for Dynamic Risk Maps in Borehole Operations
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Solution Overview
Problem
Current drilling operations face challenges in coordinating multiple recommendations from different digital advisors, managing conflicting objectives, and scaling orchestration frameworks to accommodate dynamic risks and changing operational conditions.
Innovation Solution
An efficient orchestration framework is developed to coordinate multiple recommendations from various systems in real-time or near real-time, utilizing a trust model to assess the accuracy of advisors and generate dynamic impact or risk maps, thereby directing borehole operations to maintain safety and optimize efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple digital advisors are used to provide recommendations, then the comprehensiveness of risk assessment is improved, but the complexity of coordinating and managing conflicting recommendations increases
Solution Approach 1:
The system segments the orchestration task by assigning different digital advisors to specific risk domains (drilling assembly risks, formation impacts, equipment status). Each advisor operates independently within its domain, reducing coordination complexity while maintaining comprehensive risk coverage through the aggregation of specialized assessments.
Solution Approach 2:
The patent introduces an intermediary orchestration layer that mediates between multiple digital advisors and the drilling operation. This intermediary consolidates recommendations, resolves conflicts, and prioritizes actions, thereby managing the complexity of coordinating multiple advisors without reducing the comprehensiveness of risk assessment.
2Reliability
If real-time recommendations are generated to maintain safe operating zones, then operational safety is improved, but the computational resources and time required for processing increase
Solution Approach 1:
The system performs preliminary actions by pre-defining safe operating zones, risk thresholds, and recommendation protocols before drilling operations begin. During real-time operations, the system only needs to compare current parameters against pre-established criteria and generate recommendations, significantly reducing computational time while maintaining safety.
Solution Approach 2:
The patent implements a streamlined decision-making process that skips unnecessary intermediate steps. When parameters approach critical thresholds, the system directly generates and communicates recommendations without extensive analysis cycles, enabling rapid response to safety concerns while minimizing processing time.
3Measurement precision
If dynamic risk maps are computed to reflect changing operational conditions, then the accuracy of risk assessment is improved, but the computational complexity and data processing requirements increase
Solution Approach 1:
The system implements dynamic risk maps that automatically update as drilling operations progress and operational conditions change. The digital advisors continuously monitor parameters and adjust recommendations based on real-time data, maintaining high accuracy without requiring complex manual re-analysis of operational conditions.
Solution Approach 2:
The patent incorporates feedback mechanisms where the results of risk assessments and recommended actions are continuously monitored and fed back into the system. This feedback loop enables the dynamic risk maps to self-adjust and improve accuracy over time while the automated feedback processing reduces the complexity of manual data analysis.
Data Source
AI summary
Integrated dynamic impact or risk maps can be generated using borehole operation parameters, with associated impact parameters (representing a severity of an event), softness parameters (representing a range or a percentage of the impact while not exceeding a critical threshold or an impact transition mechanism), and trust parameters (representing the accuracy of the applied advisor model). As borehole operations are in progress, factors change over time, such as depth, temperature, fluid composition, number of rotations, and other operational and environmental factors. As these factors change, the associated impact, softness, and trust parameters can be dynamically updated with the current information. The resulting generation of dynamic impact or risk maps using this information is therefore updated to represent the most current conditions. The dynamic impact or risk maps can be utilized to determine modifications to borehole operations to reduce risk, costs, maintenance downtime, and improve return on investment of the borehole.