Real-Time Operations

Turn live drilling data into operational context

DrillingMetrics joins WITSML streams with rig state, depth, surveys, BHA, and report data, then updates KPIs, engineering models, event records, and alerts for field and office teams.

  • One-second WITSML input
  • State-aware KPIs and models
  • Shared field and office view
Live drilling operations dashboard with well state, rig activity, time traces, offset performance, and run KPIs

Build every result on operating context

Incoming WITSML data is synchronized with surveys, BHA records, daily drilling reports, and mud reports. The resulting KPIs and events retain the wellbore, run, depth, and rig state needed to interpret them.

  • Follow current activity, depth, and performance from the rig floor or office.
  • Compare intervals using consistent state and depth definitions.
  • Inspect the traces and context behind an automated result.

Run models beside the measurements

As new data arrives, DrillingMetrics updates drilling KPIs, rig states, torque-and-drag models, hydraulics calculations, dysfunction indicators, and event records. Measurements, calculated results, and inferred conditions remain distinguishable.

  • Compare field behavior with modeled response.
  • Track pickup and slack-off weights against torque-and-drag models.
  • Use multiple channels, persistence, and operating state in alert logic.

Use the same definitions during and after the well

Live and historical workflows use the same KPI, event, and context definitions, so post-well review does not begin with a separate reconstruction. The primary focus is U.S. land drilling, including the Permian Basin and South Texas; the analytics engine has also been used on more than 1,000 onshore and offshore wells worldwide.

Discuss this workflow with a drilling engineer.

Bring the well context, available data, and decision the team needs to support.

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