Well intelligence for drilling engineers
Understand a well in its geological and historical context.
Explore nearby wells, compare geological formations, and trace historical drilling events back to their source records — all in one engineering workspace.
- Explain, don't assert
- Geology over absolute depth
- Human-in-the-loop
How it works
From an active well to a decision you can trace back.
01 · Understand the context
See the active well among its neighbours and its geology.
Start from the well you are drilling. KINNECT places it against the formations it passes through and the nearby wells that share that ground, so a reading is never viewed in isolation.
02 · Compare relevant wells
Line offset wells up by formation, not just by raw depth.
Explore offset wells and compare them in formation-relative terms where the data supports it. When a formation top is missing, that gap is shown as missing — never filled with a guess.
03 · Trace historical evidence
Follow past drilling events back to the record behind them.
Inspect historical events and incidents with their depth, well, and source shown when available. Every item links toward the record that supports it — or an honest empty state when none exists.
- 1Formation top from source logDocumented
- 2Event aligned from a comparable wellHistorical
- 3Model-derived reading at this positionAI
- –✕ no record on file
04 · Review before deciding
Inspect the evidence and validate the interpretation.
Model-derived readings are marked as inference, never as fact. An engineer confirms, rejects, or partially accepts each one, so the interpretation is reviewed before it informs a decision.
Model-derived — presented as a lead for review, not as established fact.
Evidence · provenance · uncertainty
Every figure carries its certainty, and traces to its source.
Every reading in KINNECT carries how far it can be trusted. A figure shows what it claims, where it sits relative to the geology, and which record supports it — so an interpretation can always be checked against its source.
Certainty tiers are distinguished by shape, pattern, and label — never colour alone. AI inference is never presented as established operational fact.
- Documented FactDocumented FactPresent in the source dataset record.
- Historical CorrelationHistorical CorrelationAligned from a comparable well's history.
- AI InferenceAI InferenceModel-derived; not source-verified.
- Low-Confidence InferenceLow-Confidence InferenceWeak / sparse support — treat as a lead only.
- Engineer ConfirmedEngineer ConfirmedReviewed and accepted by an engineer.
Product principles
Three commitments that shape every screen.
Geological context, not absolute depth alone
Wells are read against shared formation tops where the data supports it, so a comparison holds by geology rather than by raw measured depth.
Traceable evidence, not unexplained conclusions
Every reading points back toward the record behind it. Where a record is missing, KINNECT says so instead of presenting a gap as a finding.
Engineer validation, not unquestioned AI output
Model-derived interpretations are marked as inference and left for an engineer to confirm, reject, or partially accept before they inform a decision.
See the ground before you drill it.
Turn scattered drilling history into evidence you can act on — with every finding traced back to where it came from.