Sharing our thoughts on benefits and challenges of edge computing to field development operations at the 2019 EnergyInData Conference in Austin, TX

1. CJ Ejimuda
Principal
Hybrid Data Solutions
Could Edge Computing
Lead to the End of
RTOCs?
hybriData

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?

5. Potential Challenges
● Edge device constraint - Compute, Storage. . .
● Device management / security
● Possibility of cloud vendor lock in

6. End of RTOC?
● Reduce the compute workload at RTOC
● Intelligent and actionable monitoring
● Teleoperations - Autonomous Drilling

7. QUESTIONS?

8. BACK UP

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