Thirty years of logs, unsearchable
The answer exists. Finding it takes a week.
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Oil & gas
Decades of well data, and nobody can find Tuesday's answer.
Document and subsurface search, predictive maintenance and edge inference for upstream, midstream and downstream assets.
- Offshore and remote assets
- Edge inference, no link required
- 30-year archives indexed
The starting point
What we hear in the first meeting.
If none of these sound like you, we are probably not the right call yet — and we will say so.
The platform has no bandwidth
Anything needing the cloud fails offshore.
Maintenance is a calendar, not a signal
You service what is scheduled, not what is failing.
Our approach
Remote, regulated, and expensive to get wrong.
Three constraints most AI vendors have never met at once. They decide the architecture long before the model does.
How we work →-
Runs at the edge.
Inference on the asset; the link is for reporting.
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Built for the archive.
Well logs, P&IDs, daily reports and as-builts, one index.
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Every answer cites.
A engineer can check the source before acting.
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Your data stays yours.
Subsurface interpretation trains nobody else's model.
Proof
How we have solved it in Oil & Gas.
Challenge, solution, outcome. Names withheld, numbers not inflated.
Upstream operator
- Challenge
- Thirty years of well logs and daily reports, searchable only by whoever filed them.
- Solution
- One index across logs, P&IDs and as-builts, with inference running at the asset.
- Outcome
- Cited answers in seconds, and nothing left the estate.
Midstream pipeline
- Challenge
- Integrity reports reviewed by hand before every regulatory submission.
- Solution
- Extraction with confidence scores, uncertain findings routed to an engineer.
- Outcome
- Submission prep moved from weeks to days, with the trail intact.
Drilling contractor
- Challenge
- Daily reports written twice — once for the rig, once for the client.
- Solution
- Rig-state detection from sensor data, drafting the report automatically.
- Outcome
- Crews stopped re-keying and the client got the report the same evening.
Teams we work with
Who we build for
Different teams, different first project. The platform underneath is the same.
Upstream operators
Well and reservoir document search, production surveillance.
Midstream and pipelines
Leak signals, integrity data and inspection reporting.
Refining and petrochemicals
Unit monitoring and turnaround planning support.
Drilling contractors
Rig-state detection and daily report automation.
HSE and compliance
Permit, incident and regulatory reporting from unstructured text.
Field IT and OT
Edge hardware at remote sites, patched and monitored.
Scope
What we deliver
Four things, in this order. Each one is useful on its own.
Asset discovery
A week with operations and subsurface. The problem worth solving first.
Document and subsurface index
Logs, P&IDs, reports and as-builts, searchable together.
Edge inference stack
Local compute at the asset, with safe degradation and auto-sync.
Managed operations
24/7 monitoring for systems that cannot wait for business hours.
Engagement
How the engagement runs
No surprises about sequence, and no invoice before there is something to look at.
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Asset walk
Operations, subsurface and OT in one room
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Index one field
Value visible in weeks, not quarters
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Pilot on one asset class
Measured against today's baseline
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Roll out and run
Field by field, managed
Under the hood
What it is built on.
Your existing systems stay. We add the layers that are missing and run them.
Data sources
- Well logs (LAS/DLIS)
- P&IDs and as-builts
- Daily drilling reports
- OSIsoft PI historian
AI layer
- Retrieval with cited sources
- OCR and layout analysis
- Anomaly detection
- Evaluation harness
Infrastructure
- Edge compute at the asset
- Single-tenant private cloud
- Store-and-forward sync
- 24/7 monitoring
Private cloud
Runs on your estate, or on ours.
Remote assets need compute that does not depend on a link, and regulated data needs a boundary you can point at. Stellar Cascade gives you dedicated capacity in-country with edge nodes at the asset.
Explore private cloud- Edge nodes at the asset
- Single tenant, in-country
- Store-and-forward by design
- One monthly figure
What changes
- 30 yrs
- Of archive, searchable
- Offline-safe
- Runs without a link
- 0
- Data leaving your estate
Worked examples
The write-ups behind this work.
Full situation, architecture and results on each one.
Predictive maintenance
Predicting failures on assets with no reliable network
38 Stations, one deployment
Document automation
Forty thousand scanned documents a month, keyed in by hand
11 → 3 People on data entry
Infrastructure modernisation
Modernising an estate nobody had a complete map of
400 Hosts mapped, none by hand
Free, no call required
The Oil & Gas AI readiness checklist
The questions we work through before recommending anything — data readiness, hosting constraints, review process and the running cost at year two. Use it with any vendor, including the ones that are not us.
Get the checklist- Which archives are actually indexable today
- What runs when the link to the asset drops
- Who signs off a safety-relevant answer
- What the edge estate costs in year two
Questions
Asked first, every time
Short answers. Longer ones are a conversation.
Our archive is thirty years of inconsistent naming. Is that a problem?
It is normal, and it is the first thing we assess. Much of the value comes from the index reconciling inconsistent naming, units and revision practice, rather than requiring you to clean up first.
What happens at a site with no connectivity?
Inference runs on local hardware at the asset, so the work continues. Results queue locally and sync when the link returns. Nothing operational waits for the cloud.
Can it read scanned P&IDs and old well logs?
Yes, through OCR and layout analysis. Accuracy depends on scan quality, which is why we benchmark against a sample of your worst documents, not your best.
Does our subsurface data leave our environment?
No. Everything runs in infrastructure you control — your cloud account, your own hardware, or a dedicated tenancy. Your interpretation is not used to train any shared model, and that is in the contract.
Can you integrate with our historian and maintenance system?
Yes, usually via OPC UA, OSIsoft PI interfaces, or a direct database read, plus the CMMS API for work orders. The approach is settled during discovery.
How do you handle safety-critical decisions?
We automate retrieval, triage and reporting. Where a decision carries safety consequence, the system surfaces the evidence and a person decides. We will say plainly when a use case should not be automated.
Vocabulary
Terms worth knowing before the first call.
The words that come up most in Oil & Gas conversations, in plain English.
Which asset is costing you the most?
Unplanned downtime, lost search time or reporting load — start with whichever number hurts.
- A reply within one working day, from an engineer rather than an account manager.
- An honest read on whether this is worth doing now, or in a year.
- No marketing list. Your details reach the solutions team and stop there.
Keep looking