Enterprise-ready RAG platform that converts unstructured well reports into a live, searchable knowledge base with fact-guaranteed output—no hallucinations.
Data extraction time reduced from hours to minutes—accelerating modeling inputs and audit searches
Process large document volumes with fact verification and source citations for every extracted insight
Cost avoidance per major modeling or audit project through 200-500 engineering hour savings
Two-phase RAG system: build the knowledge base, then query it with fact-guaranteed responses
OCR + Vision-Language Model for content digitization and type detection
Content split into coherent, context-rich Smart Chunks
Embedding Model converts chunks to vectors stored in Vector Database with metadata
Hybrid semantic-keyword search retrieves most relevant text chunks instantly
Retrieved facts constrain Open-Source LLM (Llama 3) response generation
Structured data (JSON) with source citations—fact-guaranteed, no hallucinations
What makes GeoRead the foundation for intelligent document processing
RAG architecture ensures summaries and data points are directly cited from source documents, eliminating LLM hallucinations with verifiable source citations.
LLM models specifically tuned for Energy sector context and technical vocabulary, ensuring accurate interpretation of domain-specific terminology.
Vision-Language Model (VLM), table parsing, and layout-aware processing comprehend graphs, schematics, and scanned reports beyond plain text.
Preserves semantic and temporal relations between documents and knowledge entities for traceable summaries and context-aware decision support across workflows.
Optical Character Recognition (OCR) augmented by Machine Vision successfully processes older, low-quality scanned reports and historical documents.
Extracts critical engineering parameters in clean, machine-readable format (JSON) for direct consumption by simulation, modeling, and optimization tools.
GeoRead is a workflow accelerator for technical teams across E&P operations
Instantly extract every required input parameter (reservoir pressure, fluid properties) from reports, ensuring simulation models start with accurate, validated data.
Quickly generate reliable executive summaries or technical overviews of complex drilling programs, drastically reducing time for management review and knowledge transfer.
Perform immediate, comprehensive searches across thousands of documents to find every mention of a specific test, component, or safety element, minimizing compliance risk.
Retrieve baseline engineering parameters for an existing well in seconds, allowing your team to quickly set up and test "what-if" scenarios for future design decisions.
Locate critical historical information, like maximum achieved pressure or installation depth, in moments to diagnose failures or anomalies faster than manual document hunting.
Powers GeoAgent's Data Flow stage, extracting and validating unstructured data (failure modes, reservoir reports) for autonomous decision-making workflows.
Transform unstructured reports into actionable insights with fact-guaranteed accuracy
