See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

Condition Monitoring · OIL & GAS

Bring wells back to production on a managed signal, not a guess.

Returning a non-operational or underperforming well to production sits at the intersection of speed, equipment health, environmental compliance and cost. The XMPro AO Platform monitors the well, equipment and operating parameters in real time during the RTP process so restoration is managed against predicted condition and optimisation targets, not stopwatch pressure.

THE CHALLENGE

What's getting in the way today.

Return-to-production runs into five compounding pressures:

ISSUE 01 OPEN

Restoration efficiency

Restoring non-operational or underperforming wells quickly and efficiently is complex — too fast and equipment health suffers; too slow and production stays off.

ISSUE 02 OPEN

Predictive maintenance during RTP

Maintenance needs that surface during restoration can either be addressed pre-emptively or trigger another shutdown shortly after RTP completes.

ISSUE 03 OPEN

Production optimisation

The well needs to return to optimal production capacity — not just any production — while equipment health is maintained.

ISSUE 04 OPEN

Data integration and analysis

Sensor data, well performance and historical context have to combine into a decision-ready picture during RTP, not after it.

ISSUE 05 OPEN

Environmental and safety compliance

RTP activity is one of the higher-exposure operations in the field — environmental and safety evidence has to be auditable, not reconstructed.

THE SOLUTION

Oil Well RTP Monitoring — how it works.

A real-time picture of well and equipment during RTP — fed by IoT sensors, modelled as a digital twin, and tied to predictive analytics and parameter optimisation so the restoration runs on a managed signal.

Real-time data integration Predictive analytics Anomaly detection Automated recommendations Operational dashboards Digital twin simulation

The platform models the well and its associated systems as a digital twin, ingesting telemetry on production rate, equipment condition (pumps, valves, sensors) and operational parameters (pressure, temperature, flow). Predictive analytics flag maintenance needs that emerge during restoration before they trigger another shutdown. Operational data analysis optimises production parameters to maximise extraction efficiency while preserving equipment health. Real-time monitoring of KPIs and automated recommendations surface optimisation opportunities and risks. Customisable dashboards expose well state to operations and compliance teams; environmental and safety telemetry feeds compliance reporting directly.

SEE IT IN YOUR ENVIRONMENT

Scope this for your operation.

Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.

WHAT CHANGES

What this looks like in operation.

Faster, safer restoration

RTP runs on predicted condition and ranked recommendations, so restoration time and equipment risk are balanced rather than traded.

Production back at optimal capacity

Operating parameters are tuned against well-level optimisation targets, not the last operator’s preference.

Compliance evidence as a by-product

Environmental and safety monitoring during RTP generates audit-ready evidence — defensible for regulator inspection.

DEPLOYED IN

Built for these industries.

PRODUCTION-PROVEN

Not a concept. In production.

XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.

VERIFIED RESULT — OIL & GAS
$16M Saved every year
18% Reduction in field service trips
95% Reduction in maintenance planning

Customer Case Study

Using XMPro, a global oil and gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months -- achieving over $8 million in calculated value within the first six months.

VERIFIED RESULT — MINING
$10M Saved every year
30% Reduction in conveyor downtime
9,000t Saved every month

Customer Case Study

Using XMPro, the world's largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

VERIFIED RESULT — ENTERPRISE SCALE
6 Sites with in-house adoption
1,000+ Assets monitored
35+ Operational, tactical and strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team at a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago"

-- Advanced Predictive Maintenance Lead, major global mining company

AUTONOMOUS OPERATIONS

Now pushing the frontier.

MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.

0+
Days Autonomous
Safety-critical petrochemical operations
3-0+
Agents Per Team
Specialized agents coordinating per use case
0+
Teams Deployable
Scale across sites and business units
0%
Governed
Every agent, every decision, every action — auditable

SCOPE FOR YOUR SITE

Let’s scope this for your operation.

Talk to an XMPro engineer about your environment, your starting HAS level and the lever that matters most — or browse more solutions.