Tela™ agentic-AI assistant for well schematics advisor
Challenge
- Reviewing historical well reports across PDFs, scans, and handwritten forms is slow and error prone.
- Critical wellbore data is buried in unstructured documents with limited searchability at scale.
- Manual extraction creates inconsistencies and errors that impact planning and asset decisions.
- Historical well data remains underutilized for CCUS screening and well integrity assessment.
Solution
- Ingest historical well reports and apply AI-powered extraction to convert unstructured records into structured wellbore data.
- Provide an engineer-in-the-loop review workspace with source-document traceability, editable tables, validation feedback, and grounded document Q&A.
- Generate dynamic well schematics in-app using Wellbarrier solutions for visual verification against the source records.
- Export final validated well information into Wellbarrier solutions to support downstream well integrity, P&A, CCUS screening, and assurance workflows.
End-to-end workflow: Historical well reports pass through an AI extraction pipeline that produces structured wellbore data for engineers to review, validate, and export to Wellbarrier solutions.
The welcome screen on first launch, before a well is selected, outlining the three steps: Upload or select a well, extract parameters, and view the generated schematic.
Results
- Accelerates wellbore data structuring from days to a fraction of the time.
- Enforces data integrity with built-in engineering validation rules.
- Frees engineers to focus on analysis, risk assessment, and decision-making.
- Improves planning confidence while reducing integrity and containment risks.
The workspace places the source report, the extracted well record, and the dynamic schematic side by side, so engineers verify the data before exporting to Wellbarrier solutions.
The chat interface answers well-specific questions with source-cited responses.
