DF-04Foundational
Well Master Data Management
Establishes one authoritative record per well that every other system agrees with, including a single answer to how deep it is and where the top of the reservoir sits.
Data FoundationITDomain
SR-07FoundationalWave 2AI
Well Log QC & Missing Log Synthesis
In one sentence
Finds the bad intervals in the log archive and reconstructs curves that were never run, so the field has a complete set to work from.
The problem
In a mature field, the log archive spans forty years of tools, units, mnemonics and quality. Half the wells are missing a sonic, a third have washed-out intervals that nobody flagged, and every petrophysical study starts by rediscovering this.
How it works
Automated QC detects unit errors, depth-shift mismatches, flat-lined intervals, washout-affected sections and tool-response outliers. Missing curves are then synthesised from the available suite using models trained on wells in the same field that have the full set, with a confidence curve delivered alongside every synthetic.
Data required
- LAS or DLIS files for the field with header information
- Caliper and bit size for washout detection
- A subset of wells with the complete curve set for training
- Formation tops for zonal training
What you get
- QC report per well with flagged intervals and the reason
- Synthetic curves — most commonly sonic and density — with per-sample confidence
- A normalised, unit-consistent log database ready for petrophysics
What it cannot do
Synthetic logs are interpolation within the field’s own statistical relationships. They must not be used to identify a feature the training wells do not contain, and they are never acceptable as the basis for a reserves booking. Every synthetic curve is mnemonically tagged so it cannot be mistaken for a measured one downstream.
Every capability page states a real limitation. If a vendor cannot tell you where their product stops, you are not being told the truth about where it starts.
Related capabilities
- DF-07Foundational
Automated Data Quality Control
Continuously checks incoming data for stuck sensors, impossible values, missing periods and broken units, and reports the field’s data health as a number.
Data FoundationITAI - DR-03Frontier
Permeability from Mud Loss Data
Mud that disappears into the formation is telling you something about how easily fluid moves through the rock. This reads that signal instead of discarding it.
Drilling IntelligenceAIDomain - DR-04Intermediate
Wellbore Stability Prediction
Predicts the mud weight window that keeps the hole open — not too light and it caves, not too heavy and it fractures.
Drilling IntelligenceAIDomain - DR-09Frontier
AI-Assisted Geosteering
Keeps the horizontal well inside the target layer by continuously re-matching the measured logs to the geological model.
Drilling IntelligenceAIDomain