Tela™ agentic-AI assistant for CO₂ post-injection monitoring advisor

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AI-driven seismic monitoring solution for tracking injected CO₂ plume behavior and containment risks.

 

Overview

CO₂ post-injection monitoring advisor leverages a seismic foundation model and agentic orchestration to automate interpretation of time-lapse seismic data. It accelerates delineation of CO₂ plume boundaries, monitors proximity to faults, wells, and license limits, and supports regulatory compliance through faster, more consistent post-injection analysis compared with manual workflows.

 

Challenges

  • Accurate tracking of injected CO₂ is critical to ensure long-term storage integrity and containment.
  • Monitoring plume movement and proximity to subsurface boundaries requires extensive seismic interpretation.
  • Traditional workflows rely heavily on manual analysis, making evaluations time-consuming and resource-intensive.
  • Manual interpretation can introduce variability and limit the speed of decision-making.
  • Regulatory compliance requires continuous monitoring and clear evidence of containment performance.

Solution

  • Automate interpretation of time-lapse seismic data using a seismic foundation model.
  • Accelerate delineation of CO₂ plume boundaries and movement over time.
  • Evaluate proximity to faults, wells, horizons, and license boundaries.
  • Enable faster, more cost-effective monitoring through agent-driven workflows.
  • Support regulatory compliance with consistent, traceable post-injection analysis.
Tela™ for CO2 Post Injection Monitoring
AI-powered seismic monitoring and analytics solution for tracking CO₂ plume migration, reservoir dynamics, and containment integrity

Features

  • Agentic Workflow Orchestration – Leverage orchestrator and ingestion agents to automatically translate user requests into end-to-end workflows, while validating, harmonizing, and preparing data for analysis.
  • Seismic Foundation Model Intelligence – Apply foundation-model-based interpretation to identify CO₂ plume boundaries, detect 4D seismic anomalies, and evaluate containment risks with minimal training data.
  • Conversational Seismic Analysis – Interact with seismic data through natural language to perform survey exploration, anomaly detection, similarity searches, and automated interpretation workflows.
  • Integrated Monitoring Workflows – Combine seismic interpretation, proximity analysis, geobody generation, and containment assessment into a unified monitoring workflow.

Benefits

  • Increase Confidence in CO₂ Containment – Continuously monitor plume behavior and proximity to critical subsurface boundaries.
  • Accelerate Seismic Interpretation – Reduce analysis time through automated evaluation of 4D seismic data.
  • Improve Interpretation Consistency – Enhance understanding of plume evolution while reducing variability associated with manual workflows.
  • Support Regulatory Compliance – Generate traceable monitoring outputs, proximity alerts, and containment assessments.
  • Enable Better Decision-Making – Visualize plume extent and containment risks to support informed operational and regulatory decisions.