Tablet with a well-data assistant on a geologist's desk, beside a hammer and a compass

Digital Geological Intelligence

The challenge

Decades of well data sit in scans and paper files. When an experienced geologist leaves, much of that knowledge leaves too.

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Digitise

Coordinates, deviation surveys, picks and core descriptions from Soviet-era well data.

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Digitise

Coordinates, deviation surveys, picks and core descriptions from Soviet-era well data.

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Trace

Every value stays traceable to its source document, and a geologist checks the result.

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Trace

Every value stays traceable to its source document, and a geologist checks the result.

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Run locally

Open models. External models are used only for anonymised data.

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Run locally

Open models. External models are used only for anonymised data.

The work

A multi-agent AI pipeline digitises and cross-validates legacy Soviet-era well data: coordinates, deviation surveys, picks, core descriptions. Every value stays traceable to its source document, and a geologist checks the result.


It runs locally on open models. External models are used only for anonymised data.


On a pilot project the pipeline cut legacy-data preparation from months to weeks, validated by experts.

Client

Producing-field project, Volga-Ural basin

Year

2026

Category

Digital Geology

Focus

Vector Search · LLM · RAG · AI Knowledge Agents

Vector Search · LLM · RAG · AI Knowledge Agents

The workflow
From paper archive to verified data, with every value traceable.
01
Archive sample
Review document types, scan quality, language and target fields.
02
Setup
Test deployment in the environment you choose.
03
Pilot run
Digitise and cross-validate a defined set of wells. A geologist checks the results.
04
Review and next step
Compare time and error rates, then decide on the full archive.
Verified data linked to source documents
Built on
ScansWell filesOpen modelsGeologist review
The workflow
From paper archive to verified data, with every value traceable.
01
Archive sample
Review document types, scan quality, language and target fields.
02
Setup
Test deployment in the environment you choose.
03
Pilot run
Digitise and cross-validate a defined set of wells. A geologist checks the results.
04
Review and next step
Compare time and error rates, then decide on the full archive.
Verified data linked to source documents
Built on
ScansWell filesOpen modelsGeologist review

Proposal · PDF · 2 pages

Interested in a similar study?

Your challenge, the stages, what you receive and how to start, on two pages.

Cover of the two-page proposal