خط معالجة OCR لوثائق الحقل
Turns decades of scanned reports, logs and maps into searchable text, including Persian and Arabic documents and handwritten annotations.
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.
Archives are organised by whoever filed them: by year in one directory, by contractor in another, by a person’s initials in a third. Two copies of the same report sit in three places under different names, and nobody knows which is current.
Classification assigns document type, then entity resolution links each document to the well, field, reservoir and equipment it concerns, including matching the many name variants the same well has accumulated. Near-duplicate detection identifies redundant copies and proposes a canonical version for the records team to confirm.
Entity resolution on wells with inconsistent historical naming is the hardest part and is never fully automatic; a residual share of documents requires a records specialist to disambiguate. The system surfaces those rather than guessing, because a document attached to the wrong well is more damaging than a document attached to nothing.
كل صفحة قدرة تذكر حداً حقيقياً. إن لم يستطع المورّد إخبارك أين يتوقف منتجه، فلم يُقل لك الحق عن أين يبدأ.
Turns decades of scanned reports, logs and maps into searchable text, including Persian and Arabic documents and handwritten annotations.
Answers "where did this number come from" for any figure in any report, and lists what exists and who owns it.
Measures porosity, grain size and fracture density from core photographs and CT scans instead of from a description written twenty years ago.
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.
Ask a question about your own field in Persian, Arabic, English or Spanish and get an answer with the report and page it came from.