Derives performance metrics from real-time data to assess efficiency and optimize operations
Running
Speed
Connection
Time
On-Bottom
ROP
The Oculus platform captures well-control, pressure, and flow signals in real time across the full drilling envelope — from MPD systems and choke manifolds to riser and annular pressure response — at the resolution drilling engineers need to see what's actually happening downhole.
Aquila's predictive models, trained on years of drilling and well-control data, detect early signs of kicks, losses, ballooning, and pressure window violations — surfacing precursors before they show up as alarms in the doghouse.
Drilling engineers, supts, and well-control specialists receive contextual alerts, recommended actions, and complete audit trails — backed by Aquila's 24/7 RTOC for senior engineering support during the moments that define the well.
See how Oculus is changing well-control assurance
Oculus continuously captures the signals that define drilling performance — ROP, WOB, RPM, torque, pump pressure, flow, hook load, connection times — across surface and downhole systems, with the resolution and latency drilling teams can actually act on.
AI-driven analytics compare every section, every connection, and every stand against historical analogs and offset wells from your fleet — surfacing optimization opportunities the moment they appear, not in next quarter's lessons-learned review.
Drilling engineers and the rig floor receive specific, contextual recommendations — adjust WOB here, tune RPM there, eliminate this slide — turning data into decisions that compound into faster sections, better hole, and lower cost-per-foot.
See how Aquila customers are reducing days-to-TD →
Aquila's three-layer architecture captures drilling signals at the edge, processes them on-rig with local AI, and synchronizes to the cloud — keeping drilling intelligence available even when satellite goes down or the connection drops mid-stand.
AI models running locally and in the cloud cross-reference real-time drilling signals with historical context, equipment digital twins, and fleet-wide patterns — surfacing not just what changed, but what it means for this well and what to do next.
The right person — driller, drilling engineer, supt, VP — receives the right insight on the right device at the right moment. Decisions get made before the bit changes, not after.
Explore Aquila's edge + cloud + AI Lab architecture →
Live monitoring of downhole pressure, temperature, and drilling dynamics — turning raw telemetry into decisions as the well is drilled.
AI-driven detection of influx and early kicks from flow and pressure trends — alerting crews sooner to strengthen well control and safety.
Real-time guidance on weight, RPM, and ROP to drill faster and cleaner while protecting the BHA.
Continuous oversight of wellbore and annular conditions to detect anomalies and safeguard well integrity.