DF-06Foundational
SCADA/Historian Connectivity & TSDB
Gets the live sensor data out of the control system safely and stores it at full resolution, which almost nothing else on this site does.
Data FoundationIoTIT
DF-07FoundationalWave 1ITAI
Automated Data Quality Control
In one sentence
Continuously checks incoming data for stuck sensors, impossible values, missing periods and broken units, and reports the field’s data health as a number.
The problem
A pressure transmitter that failed six months ago and now reads a constant value will be used by every model downstream as if it were real. Data quality problems do not announce themselves; they quietly degrade every decision built on the data.
How it works
Rule-based checks — range, rate of change, stuck value, stale timestamp, unit consistency — run alongside statistical detection of distribution shift and cross-sensor consistency checks based on physical relationships. Results are aggregated into a data health score per tag, per well and per field, trended over time so degradation is visible before it is discovered by a failed model.
Data required
- Data streams and stores to be monitored with their metadata
- Engineering ranges and expected behaviour per tag
- Physical relationships between tags for consistency checking
- Instrument calibration records where they exist
What you get
- Data health score by tag, well, field and system, trended
- Ranked issue list with the suspected cause and the affected downstream capabilities
- Quality flags attached to the data so models can exclude bad periods automatically
What it cannot do
Detection is not repair. This finds the failed transmitter and tells you which analyses it has been corrupting; fixing it is an instrument technician’s job, and the value only materialises if the operator commits to acting on the findings. Where a check depends on a physical relationship, it cannot distinguish which of the two sensors is wrong — only that they disagree.
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-08Foundational
Data Lineage & Catalog
Answers "where did this number come from" for any figure in any report, and lists what exists and who owns it.
Data FoundationIT - SR-02Frontier
Automated History Matching
Tunes the reservoir model until it reproduces what the field actually produced, automatically and with the uncertainty kept rather than discarded.
Subsurface & Reservoir IntelligenceAIDomain - SR-07Foundational
Well Log QC & Missing Log Synthesis
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.
Subsurface & Reservoir IntelligenceAI - PR-01Foundational
Production Forecasting
Forecasts what each well will produce next month, and tells you which wells it is not confident about.
Production & Artificial LiftAI