Field Document OCR Pipeline
Turns decades of scanned reports, logs and maps into searchable text, including Persian and Arabic documents and handwritten annotations.
9 capabilities
The unglamorous work that decides whether everything above it succeeds.
Nine capabilities: OCR of the paper archive, structured extraction, master data, historian connectivity, quality control, lineage, and the paid readiness assessment. We sell this first, on purpose. Most failed digital programmes in this industry failed here.
Turns decades of scanned reports, logs and maps into searchable text, including Persian and Arabic documents and handwritten annotations.
Pulls the numbers out of the reports — depths, rates, pressures, volumes, dates — and puts them into a database with a link back to the page they came from.
Works out what each document is and which well, field and date it belongs to, so the archive becomes navigable rather than a folder tree.
Establishes one authoritative record per well that every other system agrees with, including a single answer to how deep it is and where the top of the reservoir sits.
Adopts the industry data standard so that your data is portable between vendors, without requiring the full OSDU platform on your own infrastructure.
Gets the live sensor data out of the control system safely and stores it at full resolution, which almost nothing else on this site does.
Continuously checks incoming data for stuck sensors, impossible values, missing periods and broken units, and reports the field’s data health as a number.
Answers "where did this number come from" for any figure in any report, and lists what exists and who owns it.
A paid four-to-six week study that tells you, before you commit to anything, which capabilities your data can actually support today.