Tela™ agentic-AI assistant for well schematics advisor

Return to Tela catalog

Agentic AI assistant for extracting, validating, and visualizing well schematics and barrier information.

Overview

Well schematic advisor ingests decades of structured and unstructured well documentation to generate contextualized well schematic representations. Designed to support well integrity and plug-and-abandonment (P&A) workflows, it reduces manual review effort, improves risk assessment accuracy, and integrates with well integrity solutions for validation, reporting, and decision support.

Challenges

• Well integrity and P&A assessments depend on accurate understanding of historical well conditions, interventions, and barrier status.
• Critical information is often buried within decades of unstructured and inconsistent well documentation.
• Manual review of legacy reports is time-intensive and resource-intensive.
• Key well integrity information can be overlooked due to fragmented data sources and document complexity.
• Incomplete understanding of well history can increase operational risk and impact P&A decision quality.

Solution

• Ingest and analyze decades of structured and unstructured well documentation.
• Generate contextualized well schematics and barrier representations automatically.
• Extract well construction, integrity, and barrier information for validation and assessment.
• Enable natural language interaction to explore well history and documentation.
• Support well integrity and P&A workflows with traceable visualizations, reporting, and decision support.

Features

• Automated Well Schematic Generation – Extract well construction details from historical documentation and automatically generate structured well schematics and wellbore representations for review and analysis.
• Well Integrity Data Extraction and Validation – Capture key well properties, barrier information, and wellbore history from reports and documentation, supporting validation workflows and integration with Wellbarrier solutions.
• Conversational Well Intelligence – Use generative AI, retrieval-augmented generation (RAG), and drilling-domain expertise to query historical well information through natural language and receive contextualized answers.
• Modular Agentic Architecture – Leverage reusable AI agents that can operate independently or through orchestrated workflows, enabling flexible support for multiple user roles and use cases.

Benefits

• Accelerate Well Documentation Review – Reduce manual interpretation effort from days to hours.
• Support Well Integrity and P&A Decisions – Provide consistent, traceable schematic representations for engineering assessments.
• Improve Data Quality and Confidence – Identify inconsistencies, anomalies, and missing information across historical well documentation.
• Enhance Communication and Reporting – Deliver visualizations and reports that clearly communicate well barrier status and performance.
• Integrate with Existing Engineering Workflows – Leverage standard APIs and interoperability with existing well engineering environments.