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Real-time processing, local analytics, and uninterrupted visibility where it matters most
Reduce Downtime
Higher reliability
Lower costs
Offline resilience
Faster decisions
User-friendly interface with interactive 3D visualization, designed for fast navigation and clear data interpretation.
Edge computing ensures continuous operation and data availability, even during communication loss with the RTOC.
Automated detection of pressure variations and micro-leaks through continuous soak testing, providing early insights into system integrity before deployment.
Built-in UPS ensures uninterrupted operation during power outages, always maintaining critical monitoring.
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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 →
Explore how we detected an issue in the solenoid valve through abnormal behavior in a regulator readback.
