Autonomous well & choke optimization
Edge AI continuously adjusts well setpoints as reservoir conditions change — increasing production from existing wells without new drilling, and cutting manual field interventions on gas wells.
Modernize a 1990s-era SDH transmission network to a converged 100G OTN/DWDM backbone — while your SCADA, DCS, telephony and field automation keep running exactly as they do today. The network becomes the enabler for AI production optimization, life-safety systems and pipeline security, added incrementally as budget allows.
Most oil & gas operators run transmission backbones installed in the late 1990s: STM-1, STM-4 and 2.5G SDH rings carrying voice, serial data and SCADA across hundreds of kilometres of pipeline. These networks are reliable — but at 155 Mb/s they cannot carry the continuous, high-frequency sensor data that modern AI and safety applications feed on. And a forklift replacement is unthinkable: decades of operational practice, interlocks and procedures depend on the services they carry.
The answer is a converged single-platform migration: SDH, OTN and DWDM on one chassis. Legacy interfaces stay live on the same box that delivers 100G today and is 400G-ready — so migration is an addition, never an interruption.
Every application below runs as a digital overlay above installed SCADA/DCS systems. None requires replacing the automation you already trust. All of them require the one thing legacy SDH cannot provide: a high-bandwidth, protected, low-latency data highway between the field and the control center.
Edge AI continuously adjusts well setpoints as reservoir conditions change — increasing production from existing wells without new drilling, and cutting manual field interventions on gas wells.
Machine-learning models allocate lift gas across wells in real time, maximizing total field output from the same compression capacity you already own.
Autonomous chemical-injection control keeps corrosion and scale treatment continuously on target — preventing well failures and unplanned shutdowns while reducing chemical cost and field visits.
Sensor analytics forecast compressor, pump and ESP failures weeks in advance — converting emergency shutdowns into planned interventions. Water-injection surveillance predicts pump failures before they curtail oil production.
Real-time hydraulic models detect blockage, leak and slugging conditions along gas pipelines, with continuous emissions and flare monitoring supporting regulatory reporting and gas-recovery revenue.
Fixed and wearable detectors at wellheads, separators and block-valve stations feed the control center in real time — with CCTV verification, automated ventilation/shutdown/siren sequences, wind-aware evacuation guidance and muster-point headcount. Seconds matter with H2S; the dual-ring network guarantees the alarm always arrives.
Distributed fiber sensing turns the cable already buried beside the pipeline into a continuous vibration sensor. AI classification distinguishes digging, mechanical works and vehicle movement — up to ~60 km per sensing unit — and GIS correlation converts fiber distance into a map position for response teams.
Solar PV + grid + battery + generator with automatic switchover and mobile-app monitoring makes remote block-valve stations viable node and repeater sites — solving the AC-only, no-backup power reality of desert routes.
Bring your network diagrams, fiber records and toughest sites. In one working session we map what you have, what stays, and what a phased upgrade unlocks — from AI production optimization to H2S life-safety and pipeline security.
Request a workshop →