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Oil and gas doesn't fail in the control room.
It fails in the field where no one's watching.

Every unmoved alert is a regulatory event waiting to happen.

$25K/day

Methane leak detected. Paper log filed. EPA says not fast enough.

Your LDAR crew found the leak. They filed a paper form. But the EPA’s final methane rule requires automated, timestamped, auditable chain-of-custody from detection to repair to verification. Paper logs do not survive that scrutiny.

200

200 remote sites. 200 different versions of the truth.

Every site has its own SCADA, its own RTU mix, its own tribal knowledge. Morning briefings are assembled manually from five systems and are four hours stale before they arrive. You manage by escalation, not by system.

8hr

Compressor fails at 2 AM. Nobody knows until shift change.

The bearing temperature crossed threshold six hours ago. The alarm fired to a screen nobody was watching. By morning, the compressor is down, production is lost, and the emergency work order is eight hours behind the condition that caused it.

90mi

LDAR crew drove 90 miles. Wrong equipment was on-site.

The dispatch was triggered but the equipment manifest was never checked. A three-hour round trip, a wasted crew-day, and the leak is still open — now one day closer to the EPA response deadline.

The gap is not more sensors or another SCADA overlay. It is that your wells, compressors, and pipelines were never digitally alive — they cannot self-report, trigger their own response, or hand themselves to an AI that acts before the violation.

Warehouse 7 — Aisle 4
Cold Unit A3
Temp36.2°F
Humidity42%
CompressorNormal
Dock 7 Inbound
ETA2.4 hrs
Load94%
Pallets18
Aisle 12-B
SKUs1,847
Picks23/min
Errors0.1%
Pallet CC-09
Weight1,240 lb
ZoneBay 4-C
Dwell12m
Freezer Unit 2
Temp-8.1°F
DoorSealed
AlertNone
Forklift 14
StatusActive
Battery67%
ZoneC-North
RFID Gate 3
Reads412/hr
Miss Rate0.3%
Uptime99.8%
Rack G-22
Capacity83%
Last Scan4m ago
Items246
Vision Bay 6
Defects0.02%
Throughput148/min
Accuracy99.7%
0 / 9 tracked
Signal Lost
All Connected
Ask ArgusAI Assistant
ArgusIQ

HOW WE DO IT

One Operating System. Built for the complexity you actually operate in.

Not a monitoring layer on top of what you have. A complete operational foundation — hardware, connectivity, identity, workflows, and AI — that replaces the fragmented stack underneath.

Step 1

Sense & Locate

Every wellhead, pumpjack, compressor, generator, tool, tank, and vehicle — tracked in real time across remote sites and facilities. Condition signals captured: vibration, temperature, flow rates, runtime, alarm status. Even on remote pads where connectivity is intermittent. We connect what matters. Everything else builds on this layer.

RTLS — FIELD ASSET MAP
Well Pad 14GPS: 31.94°N
Compressor 7BLE Zone: C-3
Tank Farm 22LoRa: Ch 4

2,847 / 2,847 assets located | Update: < 30 sec

Step 2

Normalize

SCADA, RTUs, PLCs, IoT sensors, LoRaWAN trackers — we ingest it all into one consistent operational model. Change out a device, upgrade a system, add a new site — no rewrite needed. Your existing infrastructure investment is preserved and extended, not abandoned.

DATA NORMALIZATION
Allen-Bradley PLCModbus TCP → Normalized
Emerson RTUDNP3 → Normalized
LoRaWAN SensorsMQTT → Normalized

Vendors: 47 | Protocols: 12 | Lock-in: NONE

Step 3

Digitalize

Once connected, every asset gains a digital identity — a governed record of what it is, where it is, its current status, full maintenance history, and every event in its lifecycle. Inspections, movements, repairs, condition changes — all logged automatically. We make the analog oilfield digital.

DIGITAL IDENTITY — COMPRESSOR C-14
ConditionWATCH — bearing temp trending
Last service2026-02-14 (23 days ago)
Open WOs1 (WO-19321, HIGH)
Lifecycle events847

Digital identity: ACTIVE

Step 4

Run Operations on ArgusIQ™

ArgusIQ™ is the hub. Built-in CMMS and work orders manage maintenance end-to-end. Ticketing and workflows orchestrate inspections, incident response, compliance actions, and dispatch. Role-based rules ensure the right people see the right data. SOPs live inside the system as a searchable knowledge base, grounded for AI. Dashboards show site health across every location simultaneously.

ArgusIQ™ — OPERATIONS HUB
CMMS14 scheduled, 9 condition-based
Tickets7 open (3 LDAR, 2 safety, 2 maint)
Dispatch2 techs en route
SLA tracking3 items approaching deadline

Active sites: 40 | Dark corners: 0

Step 5

Automate with AI & Orchestration

Ask Argus lives natively inside ArgusIQ™. Query live operational data in plain language — answers grounded in your actual asset records, not generic training data. ArgusOps provides enterprise command dashboards for multi-site coordination. ArgusForge extends the Operating System to new workflows. And ArgusAI brings full AI capability on-premises and fully air-gapped — no exceptions, no cloud dependency.

ASK ARGUS — LIVE QUERY
Q: "Compressors with bearing temps above 80°C, no open WO?"
Compressor C-14, Station 1487°C
Compressor C-31, Station 2283°C
Recommended: Create priority WOs immediately

Data source: Live ArgusIQ™ | Hallucinations: 0

REAL OUTCOMES

You’ll recognize your operation in these.

These are not hypothetical. They are the plays your teams run every week — with and without an Operating System that closes the loop.

Play 1

Your compressor knew it was going to fail. It just couldn’t tell anyone. Now it can.

The Scene

Tuesday, 11pm. Compressor Station 14 records a bearing temperature three degrees above its upper threshold. Nobody is watching that screen.

With Viaanix

ArgusIQ™ sees the threshold crossed. WO-19321 created automatically. Parts record shows one replacement bearing in the Station 12 yard — reserved. On-call tech notified with 72 hours of sensor history and parts location confirmed. On site before the shift manager’s morning briefing.

What Does Not Happen

A truck roll at 6am to diagnose something already diagnosed six hours earlier. A four-day parts wait for a bearing sitting thirty miles away. A line item: “unplanned mechanical failure — cause unknown.”

Up to 30% reduction in unplanned downtime when condition signals drive automated work order creation.

COMPRESSOR STATION 14 — CONDITION ALERT
Bearing temp94°C (threshold 85°C)
WO-19321Created automatically
Bearing reservedStn 12 Yard, Bin 7
On-call techNotified + 72hr history

Compressor status: RUNNING | Human interventions: 0

Play 2

Detection to repair to audit record. No manual steps in between.

The Scene

An LDAR survey flags a potential methane emission at a wellpad. Under the EPA final rule, the response clock is already running.

With Viaanix

Detection event creates an LDAR workflow ticket automatically. Site assigned. Technician with right equipment and LDAR certification dispatched based on proximity and credentials. Repair completed, closure verified from the field via ArgusIQ™. Audit record — detection, assignment, repair, verification, closure — complete and defensible before the inspector asks.

What Does Not Happen

A compliance manager tracking open items in a spreadsheet. A super-emitter event past the response window. An audit conversation about undocumented closure from three weeks ago.

Full audit trail from detection to closure — every step logged, timestamped, retrievable on demand.

LDAR EVENT — WELLPAD 8, VALVE V-44
Ticket CT-2201Created automatically
AssignedTech Torres (LDAR certified)
EPA response clock15 days remaining
Audit recordCOMPLETE

Regulatory status: CLOSED | Manual steps: 0

Play 3

Stop managing by escalation. Start managing by Operating System.

The Scene

VP Operations, forty well pads, two regions. Morning briefing assembled manually by three people from five systems — four hours old before it arrives.

With Viaanix

ArgusOps shows the top ten aging exceptions across all forty sites, ranked by criticality. Three compressor stations with SLA clocks running. One terminal with inventory threshold crossed, no reorder triggered. One wellpad with a tech on site but no open work order — possible compliance event. All live. Not assembled. Just true.

What Does Not Happen

A 7am call to find out what happened overnight. A decision on yesterday’s data. An exception nobody escalated because it wasn’t loud enough.

Real-time exception visibility across every site, every asset, every open workflow — from one screen. Briefing build time: zero minutes.

ARGUSOPS — MULTI-SITE COMMAND
3 compressor stationsSLA clock running
1 terminalReorder threshold, no action
1 wellpadTech on site, no open WO
35 sitesNo active exceptions

Decisions required: 2 | Auto-resolved: 38

Play 4

Confirm remotely first. Send a crew only when the job is real.

The Scene

A pressure sensor at a remote wellpad triggers an alarm. Standard procedure: dispatch. Drive time: ninety minutes each way. Findings: sensor anomaly, no physical issue. Total cost: one crew-day, zero productive work.

With Viaanix

The alarm triggers an ArgusIQ™ workflow. Ask Argus cross-references against the asset’s condition history — this sensor has triggered three false positives in thirty days. Remote confirmation runs before dispatch. Crew only sent when remote checks genuinely cannot resolve the condition.

What Does Not Happen

Ninety minutes each way, three times a week, across forty sites, for conditions that resolved themselves or were never physical issues.

20–35% reduction in unnecessary truck rolls with remote-first confirmation protocols.

FIELD SERVICE DISPATCH
Alarm sourceWellpad 22, pressure sensor
History check3 false positives in 30 days
Remote confirmRunning before dispatch

Dispatch decision: Operating System | Phone calls: 0

Play 5

When Tank T-08 hits 18%, the reorder is already in motion.

The Scene

A fuel storage tank at a terminal crosses its reorder threshold at 2am. Nobody is watching that specific tank.

With Viaanix

ArgusIQ™ detects the threshold crossing and triggers the reorder workflow. Purchase order initiated. Delivery scheduled. Operations manager notified. When delivery arrives, receiving workflow confirms volume and updates the tank’s digital record. Cycle closes without manual intervention.

What Does Not Happen

A supply disruption because the reorder happened four days late. Inventory management by whoever remembered to walk past the right tank on the right shift.

Zero supply gaps — automated reorder on threshold crossing.

TANK T-08 — LEVEL THRESHOLD
Current level18% (reorder: 20%)
PO-442110,000 gal delivery initiated
Delivery2026-03-12 0800
Ops managerNotified

Supply gap: PREVENTED | Manual interventions: 0

Play 6

When someone enters a zone they shouldn’t, the log is complete before you hear about it.

The Scene

A contractor with the wrong clearance approaches a restricted zone at a refinery. No guard at that entrance on this shift.

With Viaanix

RTLS geofence detects the credential mismatch instantly. Alert fires. Incident logged with timestamp, identity, zone entry attempt, and access level mismatch. Safety manager notified in fourteen seconds. Audit record complete and retrievable.

What Does Not Happen

An incident discovered after the fact with no timeline. A safety audit finding about access control gaps nobody can explain.

14-second response time. Full incident documented automatically.

RESTRICTED ZONE C — REFINERY
IndividualContractor ID 4421
Access level2 (Required: Level 4)
Safety managerAlerted in 14 seconds
Audit recordCOMPLETE

Response time: 14 sec | Investigation time: 0

Play 7

The drone ran the inspection. ArgusIQ™ already created the work order.

The Scene

A drone completes its scheduled OGI route at a wellpad. EPA has approved certain autonomous OGI drone systems for federal emissions inspection compliance. The data exists. The question is what happens next.

With Viaanix

Autonomous inspection data feeds directly into ArgusIQ™. Flagged events trigger tickets automatically. Each ticket carries drone footage reference, asset identity, detected condition, technician assignment, and compliance clock. Repair workflow begins before a human reviews the footage.

What Does Not Happen

Inspection data sitting in a drone platform that doesn’t talk to the work order system. A compliance event detected but never actioned. Manual transcription of drone findings into a separate system.

Zero-minute detection-to-action gap. Autonomous inspection fully integrated into work order lifecycle.

AUTONOMOUS INSPECTION — OGI ROUTE 7
FlaggedValve V-19, potential emission
Ticket IT-881Created automatically
Drone footageLinked to asset record
Tech RodriguezAssigned — ETA confirmed

Assets inspected: 38 | Detection-to-action: 0 min

Play 8

Stop searching five systems for an answer that should take five seconds.

The Scene

A plant manager needs rotating equipment within sixty days of service, with open condition alerts, and available technician matches. Current setup: thirty-minute research exercise across three systems.

With Viaanix

Ask Argus. Natural language. “Show me rotating equipment within sixty days of service with open condition alerts and an available technician match.” Live answer. Grounded in actual records. Seconds, not thirty minutes.

What Does Not Happen

An answer only as good as the last spreadsheet update. A maintenance backlog that grew for six months because nobody had thirty minutes to find it proactively.

Operational questions answered in seconds, not thirty minutes. Every answer grounded in live data.

ASK ARGUS — OPERATIONAL QUERY
Q: "Open LDAR items >14 days, EPA deadline in 2 weeks"
Wellpad 8, Valve V-4415 days remaining
Compressor Stn 6, F-129 days remaining
Terminal 2, TV-036 days remaining

Recommended: Prioritize TV-03 | Hallucinations: 0

THE PLATFORM IN ACTION

This is what your operation looks like when every asset is digitally alive.

Live telemetry, governed workflows, and AI — running across well pads, compressor stations, pipelines, and terminals. One Operating System.

Wellhead Pressure — PAD-7
2,110 psipsi
Compressor K-3RTLS
TypeReciprocating Compressor
LocationNorth Field Station
StateActive
Battery4,200 hrs runtime
Last seen< 1 min ago
Site Response Time

PAD-7

42min

PAD-12

28min

PAD-19

14min

Station-K

18min

Terminal-2

31min

Station-6

11min

NormalSlowBottleneck
Work Order Lifecycle
TriggerPressure anomaly detected at PAD-7
WO CreatedWO-7701
AssignedField Crew Alpha
ResolvedWellhead inspection + valve check
EMISSIONS MONITORING
Methane (CH₄)12.4 ppm
VOC8.1 ppm
H₂S0.3 ppm
CO₂418 ppm

All readings within EPA thresholds | Last sync: 12 sec ago

EPA Methane Compliance76%
LDAR schedulingpass
Leak detectionpass
Repair verificationpass
Reportingpass
Super-emitter protocolwarning
Annual auditpending
Recent Activity
Methane threshold exceeded at PAD-7. LDAR workflow auto-initiated.
02:14
LDAR inspection completed at Station-K. Audit record sealed.
02:08
Compressor K-3 bearing temp rising — 87°C (threshold 85°C). WO-7688 created.
01:52
Pipeline integrity check verified on Segment 12. No anomalies detected.
01:30
Ask ArgusAI Assistant

BUILT FOR WHAT COMES NEXT

Autonomous inspection is not a pilot in oil and gas anymore. Is your Operating System ready to support it?

EPA has approved autonomous OGI drone systems for federal emissions compliance. Autonomous ground vehicles operate at refineries and terminals today. The question isn’t whether autonomy is coming. It’s whether the system you’re building now has the infrastructure autonomous systems require. Robots and drones don’t run on dashboards. They run on identity, location, task queues, and verification.

Autonomous Inspection

Drone routes complete → flagged events logged → work orders created → repair cycle initiated. No human in the loop until field verification.

Machine-to-Machine Workflows

Pump senses anomaly → pipeline valve adjusts → downstream system notified → all steps logged. Systems triggering systems, not emailing humans.

Autonomous Routing

Task queues built from ArgusIQ™ work orders → consumable by AMRs, drones, and autonomous vehicles without custom integration per system.

AI-Driven Fleet Decisions

ArgusOps surfaces prioritized recommendations across thousands of assets simultaneously — ranked by criticality, deadline, and available resources.

You are not building toward autonomy. You are already building the foundation it requires. The work orders your teams close manually today become the task queues your autonomous systems consume tomorrow.

WHAT THIS COSTS NOT TO HAVE

The more dispersed your infrastructure, the larger the payoff. In oil and gas, those gains are measured in millions — not percentages.

0%

Emissions Violations

0%

LDAR Compliance

0min

Response Time

0%

Unplanned Shutdowns

WHY VIAANIX

Not another vendor. A different foundation.

One OS — Wellpad to Refinery

Upstream well pads, midstream terminals, downstream refineries, distributed energy assets — one ArgusIQ™ Operating System. Not a separate product per environment. One system, one team, one source of truth.

Built for OT Reality

Your wellpads have intermittent connectivity, mixed RTU and PLC vendors from three decades, and conditions that destroy consumer-grade hardware in six months. Our infrastructure is built for the environment you actually operate in — not a demo.

SCADA Integration, Not Replacement

Your existing RTU and PLC data flows into ArgusIQ™ and becomes actionable without re-engineering your field infrastructure. The value of your SCADA data multiplies when it’s connected to an execution layer.

AI Grounded in Your Operation

Ask Argus answers questions because it’s grounded in your actual asset records, work order history, condition data, and SOPs — not generic training data. ArgusAI brings full AI on-premises and fully air-gapped. No exceptions.

Deployment Options

Cloud

Fully managed SaaS. Fastest path to production. Enterprise reliability and automatic scaling. Zero infrastructure overhead.

Private Cloud

Dedicated tenant for data residency requirements, compliance mandates, or enterprise security policies.

On-Prem

Full ArgusIQ™ inside your own data center. For organizations where data leaving the building is not an option.

Air-Gapped (ArgusAI)

Complete Operating System and full AI for critical energy infrastructure and high-security environments. Full intelligence. Zero cloud dependency.

Role-based accessAudit trailsPolicy-controlled automationLDAR workflow complianceOSHA PSM compatiblePipeline integrity (49 CFR 192/195)

You don’t have a visibility problem. You have an execution problem. And it has a solution.

Every alert that fired but nobody acted on. Every truck roll that could have been a remote confirmation. Every LDAR event that sat open three days longer than it should. Every compressor that failed at 11pm because nobody connected the sensor data to the work order system. These are not technology gaps. They are execution gaps. They close when every asset has a digital identity, every condition triggers a governed response, and every team runs on the same operational truth. Viaanix provides that foundation today — for upstream, midstream, downstream, and distributed energy — and scales into autonomous operations as your program matures.