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Sunya / Energy AI research

TotalEnergies / Industrial data and AI foundation across operated upstream

AI-078 · Source-linked project profile. Read the scope, reported result and what remains unknown.

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What the source says

TotalEnergies says an AspenTech Inmation real-time data layer and Cognite contextualization layer are being deployed across 40 upstream and 16 refining/chemical sites, with a tenfold asset data-point objective and full deployment targeted for end-2027. Integrated Power is already done; AI is a later layer. India target is at least 500 engineers across HSE, digital plant and Integrated Power modeling programs.

Company
TotalEnergies
Department
Production & field operations
Record type
company_adoption
Disclosed stage
Signed data-platform rollout in progress; end-2027 full-deployment objective.
Source date
2026-02-11
Source-date precision
day
Source provenance
A · Operator filing
Review disposition
Access or verification limitation; inspect profile and source history

Reported result

Target scope: 40 upstream and 16 refining/chemical sites; 10x asset data points; full deployment end-2027. India center: at least 500 engineers by 2027 across all named programs. No quantified AI outcome.

What this does not establish

Deployment target and enabling data foundation; not 56 completed AI deployments. The 500-engineer target spans multiple programs and is not AI-only. No costs, acceptance criteria, or realized return disclosed.

Analyst inference: Large, concrete industrial data foundation and deployment scope; business outcome remains an objective.

Original sources

Disclosure history

Industrial AI across operated upstream assets

TotalEnergies and Cognite announced a three-year deployment of industrial data and AI capabilities across all TotalEnergies-operated upstream assets worldwide, spanning drilling through production.

TotalEnergies 2025 Results & 2026 Objectives presentation transcript

Management says a signed AspenTech contract will deploy Inmation for real-time collection across 40 upstream and 16 refining/chemical sites; integrated power was already done. Cognite will transform, enrich, store and expose the data. Management aims to multiply asset data points by ten, with full deployment targeted by end-2027; a later AI layer is intended to improve production and availability. At least 500 engineers by 2027 is a critical-mass target for all three programs (digital HSE, digital plant and Integrated Power modelling).

A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.