Measure What Your Physical
Sensors Can't.
Not every variable in your facility can be measured directly. Brains builds intelligent soft sensors and virtual meters that infer the measurements your physical instrumentation can't provide — backed up by the engineering context of the Contextual Graph, not just statistical correlation.
Book a DemoYour Facility Has Blindspots.
Brains Fills Them.
Physical sensors have limitations — cost, accessibility, measurement feasibility, maintenance requirements. Soft sensors use available measurements and engineering models to infer the values you need but can't directly measure. Brains builds these sensors with the engineering context that makes them trustworthy.
Virtual Measurements from Real Engineering Context.
Inferential Measurement
Infer process variables that can't be measured directly — composition, quality parameters, efficiency metrics — from the process variables that can. Brains builds the inferential model from your operating data and validates it against the engineering design of your facility.
Sensor Backup & Forecasting
When a physical sensor fails or drifts, the soft sensor continues providing reliable measurements. Your operations don't lose visibility because a transmitter went offline. And when a sensor starts drifting, Brains flags the deviation before it corrupts your process data.
Engineering-Grounded Validation
Every soft sensor Brains builds is validated against the engineering design of your facility through the Contextual Graph. The model doesn't just fit the data statistically — it makes engineering sense. Design limits, process constraints, and physical feasibility are built into every inference.
Virtual Meters for Well Operations
Virtual metering for well headers, injection wells, and transfer networks — inferring flow rates, water cuts, and production allocation where physical meters are impractical or too expensive to install at every well.
SAGD-Specific Soft Sensors
Steam-to-oil ratio inference, sub-cool temperature estimation, chamber pressure profiling, and emulsion quality prediction — soft sensors specifically designed for SAGD operations where direct measurement of downhole conditions is limited.
Boiler & Heat Exchanger Performance
Fouling detection, scaling prediction, and efficiency degradation monitoring for boilers and heat exchangers — inferred from available temperature, pressure, and flow measurements without requiring additional instrumentation.
Inferential Measurement
Infer process variables that can't be measured directly — composition, quality parameters, efficiency metrics — from the process variables that can. Brains builds the inferential model from your operating data and validates it against the engineering design of your facility.
Sensor Backup & Forecasting
When a physical sensor fails or drifts, the soft sensor continues providing reliable measurements. Your operations don't lose visibility because a transmitter went offline. And when a sensor starts drifting, Brains flags the deviation before it corrupts your process data.
Engineering-Grounded Validation
Every soft sensor Brains builds is validated against the engineering design of your facility through the Contextual Graph. The model doesn't just fit the data statistically — it makes engineering sense. Design limits, process constraints, and physical feasibility are built into every inference.
Virtual Meters for Well Operations
Virtual metering for well headers, injection wells, and transfer networks — inferring flow rates, water cuts, and production allocation where physical meters are impractical or too expensive to install at every well.
SAGD-Specific Soft Sensors
Steam-to-oil ratio inference, sub-cool temperature estimation, chamber pressure profiling, and emulsion quality prediction — soft sensors specifically designed for SAGD operations where direct measurement of downhole conditions is limited.
Boiler & Heat Exchanger Performance
Fouling detection, scaling prediction, and efficiency degradation monitoring for boilers and heat exchangers — inferred from available temperature, pressure, and flow measurements without requiring additional instrumentation.
A soft sensor built on statistics alone will tell you a number. A soft sensor built on the Contextual Graph will tell you a number that makes engineering sense — because it understands the equipment, the process, and the design constraints behind the measurement.
Frequently Asked Questions
Common questions about soft sensors and virtual meters.
Ready to Measure What You Couldn't Measure Before?
Connect your historian data. See soft sensors and virtual meters built from your existing measurements — filling the instrumentation gaps your physical sensors can't cover.
- Infer process variables that can't be measured directly.
- Maintain visibility when physical sensors fail or drift.
- Deploy virtual meters across wells without installing hardware.
- Ground every inference in your facility's engineering context.
- Zero additional hardware. Just intelligence from existing data.