We turn fragmented wellbore data into a connected, decision‑ready asset—fast, auditable and ready for automation.
We transform noisy, multi‑vendor logs into a coherent view of pay / non‑pay, reservoir quality and fluid behaviour.
Every interpretation is built around real questions: where to drill, how to complete and what to keep or shut‑in.
Petrophysics, geology, core and tests are read together, so subsurface, reservoir and production teams stay aligned.
Structured, documented interpretation results you can plug directly into future AI / ML workflows instead of starting from scratch.
We build a repeatable QC layer around your well logs so engineers can trust every curve they see on screen.
Rules and ML‑based checks flag gaps, depth shifts, tool issues and suspicious outliers before they hit interpretation.
Every edit is tracked: what was changed, by whom and why—so reviews and audits become a one‑click exercise.
Core, tests and models are used as reference points to make sure “cleaned” data still reflects real physics, not wishful thinking.
We turn dusty paper logs and scattered LAS files into a searchable, connected digital asset that your teams actually use.
Intelligent digitisation and parsing convert images and legacy formats into clean curves and metadata ready for analysis.
Versioned, structured storage ends the hunt for “the latest file” and gives everyone the same, trusted view of the data.
New and legacy data plug into your corporate databases and platforms, so nothing stays isolated on a shelf or a USB drive.
We harmonise curve names, units and scales across vendors and vintages so every dataset speaks the same language.
Cleaning, depth matching, environmental corrections and AI‑based curve reconstruction run in a single, repeatable flow.
Labelled, normalised, well‑indexed datasets are delivered ready to plug into your ML stack—no extra prep marathons.
Every transformation is logged, versioned and traceable, so you always know how a feature was created and can trust the outputs.
