★★★★★
FIVE STAR
OILFIELD INTELLIGENCE NETWORK
★★★★★·DEMO 06·READS & WRITES·ASK MORE · STORE MORE · RETRIEVE FASTER
DEMO 06 · READS & WRITES

Ask more.
Store more.
Retrieve faster.

We do something you already do, but better. Same data. Same operations. More value out of every one. Three real questions a producer asks every week against the public Equinor Volve field data — running live on commodity CPU.

RUN IT LIVE · ON OUR SERVER

No cd commands.
No clone. Just click.

LIVE DEMO · READS & WRITES · YOUR PICK

Pick a well and a date. The three queries run live against real Equinor Volve daily production data on our server. The date snaps to the nearest producing day for that well.

Pick your question

Q1 returns one value. Q2 returns the joint state of every channel. Q3 returns the N most-similar producing days to your pick.

THE DOCTRINE

Ask more. · Store more. · Retrieve more quickly.
We do something you already do, but better.

THE THREE QUESTION SHAPES

Same data. Three different reads.

A producer asks all three of these every week. Most stacks answer one of them well, one of them slowly, and one of them not at all. The reads-and-writes layer answers all three as native operations.

Q1 · ASK SIMPLE

What was X at time T?

A single value on a single channel at a single moment. Every industry stack can answer this; it is the baseline read.

Q2 · ASK JOINT

What was the whole well at time T?

Every channel at the same instant, returned as one read. Industry stacks pay a separate disk round-trip per channel — slower at scale.

Q3 · ASK COMPARATIVE

Which other moments look like this one?

The five most-similar producing days for this well. Industry stacks cannot answer this as a read — it requires a separate feature pipeline they don’t ship.

WHO BENEFITS FROM THIS

Five roles, five wins.

Production engineer

Compare any current shift against every prior similar shift in seconds. Spot drift in context, not in isolation.

Allocation analyst

Pull the joint state of every channel at any past moment without waiting for a feature pipeline to be rebuilt.

Reservoir engineer

Ask comparative questions across full field history without a separate analytics warehouse.

HSE / regulatory

Replay any moment in time exactly as it happened, with the full channel state, signed by construction.

CFO / commercial

One layer replaces three (historian + lake + feature store). The kept-everything posture without the kept-everything cost.

WHAT CHANGES FOR YOU

In numbers.

Ask more

Queries today’s stack structurally cannot return become routine reads. The joint state of a producing well at any moment in the asset’s life.

Store more

Every record kept at full fidelity. Lossless. A fraction of the footprint your time-series database needs today, for the same record set.

Retrieve more quickly

One read, one signed answer. No separate audit pipeline, no separate feature pipeline. Same answer in five years as today.

ALL DEMOS NEXT · WELLHEAD ALLOCATION →