Solution · Digital drilling rig

Cost per meter drilled, settled at the engine.

Per-engine fuel monitoring across drilling rigs of any size: main engine, mud pumps, generators, compressors. Per-job consumption rolls up automatically, billable hours are timestamped, and theft at remote sites is detected the same day.

Rig DR-04 · Job #2451 · Day 3 of est. 5Last sync · 11s ago
Main engine · this job 1240L · 74h running
28.4L/h
Live
Mud pump 1 · this job 820L
18.2L/h
Live
Site bunker · 4200L remaining
6.95L/m
Job total 2920L · 420m drilled
Remote-site bunker variance
Trusted by fleets in 150+ countries
What it monitors
Per-engine fuel · per-job totals · drilling hours · site bunker
Accuracy
±0.5% DFM · ±1% DUT-E bunker
Compatible with
Top-drive rigs · mud pumps · gensets · compressors · any-age equipment
Typical install
1 day per rig · maintenance window

What you have today

A drilling job can run for days with several engines contributing to one fuel bill. Remote sites, subcontractors, and rig moves make it hard to prove which engine, which job, and which client should own each liter.

What we add

DFM on each engine plus DUT-E in the site bunker gives per-job, per-engine accountability. Start and end timestamps are geofenced, liters per meter drilled are one calculation away, and theft alerts still work when the site needs satellite backhaul.

What you'll see

A complete drilling job: every engine, every phase, every liter.

Per-job timelines show main engine, mud pumps, generator load, and bunker context across setup, drilling, casing, and completion phases.

  • Per-engine timelines - main, mud pumps, and generators plotted across the job.
  • Phase totals - setup, drilling, casing, and completion segmented automatically.
  • Anomaly detection - bunker drops, abnormal generator load, and high liters-per-meter surface immediately.
Rig DR-04 · Job #2451 - 5-day timeline4 engines + bunker · DFM 0.1L/h resolution
Main / pump / generator linesPhase markersAnomaly marker
Two ways to do it

Engine-only tracking, or bunker-to-engine reconciliation.

Single-rig contractors often start with engine-side flow meters. Multi-rig fleets and remote-site operators add bunker monitoring to close the loop and detect losses.

DFM per engine
DFM per engine
Per-engine consumption · per-job billing
Accuracy±0.5%
DetectsFlow rate · totaliser · engine on/off · per-job rollup
Install4-6 hours per engine
Hardware cost~EUR1200 per engine
Best whenPer-job billing matters most · single-rig contractor
View DFM specs ->
How it fits together

Multi-engine drilling telemetry from bunker to billing.

DFM meters daisy-chain across the rig, optional bunker sensing closes the fuel loop, and the gateway can roam across cellular or satellite depending on site conditions.

STAGE 1Sensor2-5x DFM per engineOptional DUT-E in sitebunkerRS-485 daisy-chainacross rigRS-485 / ModbusSTAGE 2GatewayOnsite gatewayCellular or satellitefor remote sitesLTE / Iridium / VSATSTAGE 3PlatformAny drilling-opsplatformWialon · Pason · NOVRigSense · NaborsRigCloudAPI / MQTT / J1939STAGE 4DashboardPer-job consumption reportsCost-per-meter integrationTheft alerts at remote sitesYOU INSTALL DOWNYOUR EXISTING STACK DOWN
Standards we speak:RS-485 · Modbus · MQTT · CAN J1939Coexists with:Pason · NOV RigSense · Nabors RigCloud · custom oilfield platforms
Typical outcomes

Common drilling results from this setup.

View all case studies ->
-0.8 L/m
Common deployment · Foundation drilling
Per-engine data exposed a mud-pump efficiency issue

Comparing similar formations across six rigs revealed a repeat pressure-loss pattern, and the operational fix reduced liters-per-meter by nearly 12%.

0
Common deployment · Mineral exploration
Remote-site reconciliation closed the fuel variance gap

DFM plus DUT-E with satellite gateway reconciled bunker deliveries against engine totals, eliminating the prior site-shrinkage line item.

Auto
Common deployment · Water well drilling
Per-job client billing reports were automated

The billable fuel report is now generated when the rig leaves the site instead of being assembled at month-end.

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