2. Before Edge Computing
● Increased network communication costs
● Delayed actionable intelligence
● Slower actuation or response to drilling events
RTOC DEVICE
GATEWAY
SENSORS/
ACTUATORS
Cloud
AI / ML Model
Control
Commands
Control
Commands
WITS / WITSML
DATA STREAMS
Drilling Data
Streams
3. Why Edge Computing?
● Optimize RTOC computing resources on the cloud or
on-premise - Well Planning
● Deploy AI / ML algorithms on the edge-Drilling Optimization
● Navigate / actuate faster - Geosteering and safety
4. Cloud
Well Spacing
GeoSteering
Trained AI / ML
Model
Local Data Processing
and Saving
Edge Computing
Rock and Fluid
Properties
Well Planning
Device Gateway
Pumps, Motors, Tanks,
Compressors. . . Drilling
Optimization
Drilling Equipment
Well Trajectory
MPT, EMT,
Wired Pipe
How?
9. ● Collaboratively build well plan intelligence and knowledge base on the cloud
● Deploy Well Plan intelligence on the Edge
● Stream drilling equipment sensor , MWD, LWD data events to the edge
● Actuate or Control surface or downhole equipment from the edge
● Continuous well plan intelligent updates deployed on the edge from the cloud
More Information