Who This Fits
Operators and energy-services companies with decades of documents spread across shared drives, SharePoint, and filing cabinets: drilling reports, AFEs, well logs, land agreements, compliance filings.
The Problem
Your engineers and analysts spend hours hunting for numbers that exist somewhere in the pile. When a veteran retires, thirty years of knowing where things are walks out the door with them. And every decision that needs a number waits on the digging.
What I Build
A private AI search across all of it. Your team asks in plain English, like “what did we estimate for completion costs on the 2019 wells,” and gets the answer in seconds with a link to the exact page. It reads scans, handles spreadsheets and slide decks, and understands oil and gas language: AFEs, well logs, completion reports.
I’ve built this at production scale: 100,000+ documents serving enterprise energy companies, every answer traceable to its source.
Under the hood
Azure AI ingestion (Document Intelligence for scans, Cognitive Search for retrieval), embeddings fine-tuned on oil and gas terminology, citation-linked retrieval so every answer grounds in a source page. Deployed in your cloud tenant with Docker/Kubernetes. FastAPI services with monitoring included.
What You Can Expect
- Searches that took hours come back in seconds
- Every answer cites the page it came from, so your team can verify it
- Runs in your own cloud environment. Your documents never leave your control
- Works with the formats you actually have: scans, PDFs, Excel, PowerPoint