Data insights
Tela? agentic-AI assistant in DrillPlan? coherent well planning and engineering solutions
Gain deeper visibility into design dependencies and optimization opportunities.
Overview
Tela in DrillPlan solutions helps engineers better understand the relationships, dependencies, and impacts within their well designs. By combining engineering knowledge with AI-driven analysis, Design Insights provides contextual recommendations that help improve design quality, assess change impacts, and identify opportunities for optimization.
Challenges
- Well design decisions are interconnected and can affect multiple design elements.
- Changes to one component may introduce impacts across the broader well plan.
- Understanding design dependencies and relationships can be complex and time-consuming.
- Potential risks and optimization opportunities are not always immediately visible.
- Engineers need better visibility into how design changes affect overall well performance.
Solution
- Analyze well architecture, topology, and engineering dependencies within DrillPlan.
- Provide contextual insights based on current design configurations.
- Identify relationships between design elements and their potential impacts.
- Evaluate the consequences of design modifications across the well plan.
- Surface optimization opportunities and recommendations throughout the planning process.
Features
- Design-aware intelligence: Understand well architecture, topology, and engineering dependencies across the design.
- Relationship-based reasoning: Analyze interactions between design elements to identify impacts, risks, and optimization opportunities.
- Proactive recommendations: Deliver AI-driven suggestions for design improvements and updates based on the current design context.
Benefits
- Understand design context: Gain insights tailored to the current well design configuration and relationships.
- Reveal hidden dependencies: Surface connections and impacts across design elements that may otherwise be difficult to identify.
- Assess change impacts: Evaluate the potential consequences of design modifications before implementation.
- Identify optimization opportunities: Highlight potential improvements to design configurations, workflows, and planning decisions.
- Improve design quality: Make more informed decisions with AI-driven insights throughout the planning process.
