Put Virtual Metering to Work on Your Asset
IntelliDynamics helps operators turn existing field, historian, SCADA, DCS, and production data into reliable production estimates without additional expensive instrumentation.
When physical measurement is not enough
Well tests are too infrequent
The latest test may not represent current operating conditions.
Physical meters are expensive
Instrumentation may be costly, delayed, impractical, or difficult to maintain.
Commingled production hides contribution
Well-level performance can be unclear when streams interact.
Allocation data arrives too late
Delayed data limits timely surveillance and operating decisions.
Network effects are hard to see
Backpressure, bottlenecks, and facility constraints can change production behavior.
What the assessment helps determine
• Is virtual metering feasible with your available data?
• Which wells, streams, platforms, or fields are the best first candidates?
• What measurements are needed for validation?
• What confidence intervals or model health checks are practical?
• What data gaps may need to be addressed?
• What deployment model fits your OT and cybersecurity requirements?
• What would a pilot-to-production path look like?
Built around the data you already have
• Historian data
• SCADA / DCS data
• OPC / SQL / production databases
• Well test history
• Allocation records
• Pressure, temperature, choke, valve, and lift gas data
• Separator and facility measurements
• Fluid properties and operating constraints
The goal is not perfect data. The goal is to determine whether available data is sufficient to build, validate, and maintain useful
estimates.
A practical path from data review to pilot decision
STEP 1: Share context
Send a short description of the asset and measurement challenge.
STEP 2: Review available data
We review tags, well tests, allocation records, and operating context.
STEP 3: Identify feasibility
We determine likely model scope, validation approach, and first candidates.
STEP 4: Decide next step
If feasible, we outline a pilot path. If not, we identify the data gaps.
Operational industrial AI, not generic dashboarding
• Deterministic industrial AI and data-driven process modeling
• Real-time integration with historian, SCADA, DCS, SQL, OPC, and production systems
• Automated validation, recalibration, confidence intervals, and model health monitoring
• Virtual metering, production reporting, asset surveillance, and production optimization in one operating path
• Extensive, global field-proven experience from simple assets to large scalable deployments
Built for production engineers who need estimates they can use, defend, and act on.
What to Send
If available, send any of the following:
• Phases to be estimated
• Number of wells
• Tags available by well, test separator and production train
• Well test frequency
• The historian you use
• SCADA/DCS used
• Short description of your measurement challenges
• Data samples for a few different types of wells (well head conditions while on test and test rates by phase)
If data cannot be shared yet, send a short description of the asset, the current measurement problem, and the number of wells, streams, or platforms involved. We can start with a practical conversation, and an NDA if needed, before any data is exchanged.
Prefer email? Send details to vfm@intellidynamics.net.
Engineers helping Engineers
An assessment is not a commitment to a project. It is a practical first step to determine whether virtual metering is technically and
commercially worth pursuing for your asset.
Field-proven virtual metering experience
IntelliDynamics has supported virtual metering applications across simple assets, platforms, fields, and large scalable
deployments, including offshore, whether conventional or highly unconventional assets such as SAGD, covering oil, gas, water, condensate and hydrates formation. Asset location span from the South China Sea, Timor Sea, Gulf of Mexico/America, North Sea, Eastern Europe, and the Middle East.
