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
FA-07FoundationalWave 2AIIoT
Field Energy Management
In one sentence
Shows where the field’s fuel and power actually go, per barrel, and which equipment is drifting away from its best efficiency.
The problem
Energy is one of the largest operating costs and one of the least measured. Fuel gas is often known only as a plant total, so no one can say which compressor or pump is responsible for a rising number.
How it works
Consumption is disaggregated to equipment level using metering where it exists and calibrated estimation where it does not, then normalised per barrel and per unit of work. Efficiency drift is tracked against each machine’s own baseline, which turns an energy report into a maintenance signal.
Data required
- Fuel gas and electrical metering at whatever level exists
- Equipment operating data: flows, pressures, speeds, motor current
- Production volumes for normalisation
- Equipment performance curves and design efficiencies
What you get
- Energy intensity per barrel by field, process area and equipment
- Efficiency drift alerts with the estimated cost of the drift
- Ranked improvement list with payback estimates
What it cannot do
Where sub-metering does not exist, disaggregation is an estimate and its error is larger than the savings on small consumers, so the capability is credible for major equipment and not for granular attribution. It is honest about which figures are metered and which are estimated, and reporting against an emissions or efficiency target should use only the metered ones.
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.
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