Intervention candidate screener

Tela™ agentic-AI assistant in OptiFlow™ production assurance solutions

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Scale intervention decisions across your entire portfolio effortlessly.

 

Overview

Tela in OptiFlow solutions helps production teams continuously identify, prioritize, and evaluate intervention opportunities across large well portfolios. By combining engineering expertise, AI-powered diagnostics, and contextual reasoning, it transforms manual screening processes into an intelligent, scalable workflow that helps maximize production value and accelerate decision-making.

 

Challenges

  • Intervention candidate screening often relies on manual diagnostics and fragmented analyses.
  • Production, reservoir, and facility data can be difficult to evaluate together at scale.
  • Human-led workflows limit the frequency and coverage of well screening activities.
  • Intervention opportunities may be identified too late, delaying value realization.
  • Consistent prioritization across large well populations can be challenging.

Solution

  • Continuously integrate production, reservoir, and facility data into a unified screening workflow.
  • Leverage intelligent diagnostic agents to identify underperforming wells and intervention opportunities.
  • Maintain an evergreen, value-ranked register of intervention candidates.
  • Provide contextual explanations and recommendations through natural language interaction.
  • Continuously improve screening performance through learning from new data and intervention outcomes.

Tela catalog

Tela catalog

Tela catalog

Features

  • Intelligent Diagnostic Agents – Productized engineering expertise performs autonomous analysis and evaluates potential intervention scenarios.
  • Contextual Reasoning with LLMs – Enable natural, conversational interaction and transparent explanations of recommendations.
  • Self-Improving Intelligence – Models and thresholds learn from new data and intervention outcomes to continuously improve performance.

Benefits

  • Evergreen Opportunity Register – Automatically identify and prioritize intervention candidates based on value, cost, and operational constraints.
  • Proactive Decision-Making – Continuously monitor performance and reduce the time between opportunity detection and action.
  • Consistency and Repeatability – Apply uniform screening criteria across the portfolio through specialized AI agents.
  • Scale Across Entire Portfolios – Screen large well populations with minimal manual effort.
  • Save Time and Increase Coverage – Expand screening frequency and coverage while reducing engineering workload.