staqtech
Advanced Oilfield Solutions

LineOps
Upstream Excellence

AI-powered predictive maintenance, digital twins, IoT automation, and intelligent inventory optimization designed specifically for upstream oil and gas operations. Reduce downtime by 30%, cut operational cycles by 40%, and boost fleet utilization by 15%.

Explore LineOps PlatformSchedule Demo
30%
Downtime Reduction
40%
Cycle Improvement
15%
Utilization Boost

How It Works

Three Core
Capabilities

(01)

Data Collection

(Sensor-driven intelligence)

Deploy IoT sensors on critical assets like frac tanks and separators to collect real-time data on vibration, temperature, pressure, and flow rates. Establish baselines from initial runs under normal conditions and stream data to cloud platform for continuous monitoring.

Prioritize high-value equipment such as 1000 BBL storage tanks or OPSCO separators
Attach wireless IoT sensors for key metrics including vibration patterns, thermal imaging, and pressure fluctuations
Establish baselines from initial runs under normal conditions
Stream data to cloud platform for continuous monitoring
Start small to avoid overwhelming legacy systems

Vibration

0.42 mm/s

normal

Temperature

78.3°C

normal

Pressure

145 PSI

warning

Flow Rate

892 GPM

normal
(02)

Model Development

(Machine learning at scale)

Train ML algorithms on historical failure data combined with sensor inputs to detect subtle trends like gradual vibration increases signaling bearing wear. Leverage ensemble learning and deep learning for robust predictions across diverse equipment types.

Train on historical failure data combined with sensor inputs
Detect subtle trends like gradual vibration increases signaling bearing wear
Ensemble learning for robust failure predictions across diverse equipment types
Gradient boosting for high-accuracy anomaly detection in sensor data
Deep learning for complex pattern recognition in time-series data

Random Forests

scikit-learn

Ensemble learning for robust failure predictions across diverse equipment types

XGBoost

Python

Gradient boosting for high-accuracy anomaly detection in sensor data

Neural Networks

TensorFlow

Deep learning for complex pattern recognition in time-series data

(03)

Integration & Automation

(Seamless workflow automation)

Link predictions to maintenance workflows via APIs, automatically generating tickets or notifications when failure probability exceeds thresholds. Monitor KPIs and refine models iteratively with new field data for continuous improvement.

Link predictions to maintenance workflows via APIs
Automatically generate work orders when failure probability exceeds thresholds
Real-time alerts for sour service equipment
ERP and work order system integration
Continuous model refinement with field data
ERP and work order system integration
Automated ticket generation on threshold breach
Real-time alerts for sour service equipment
Continuous model refinement with field data

API ENDPOINT

POST /api/maintenance/predict

{
  "equipment_id": "SEP-4521",
  "failure_probability": 0.87,
  "predicted_failure": "bearing_wear",
  "action": "generate_work_order",
  "priority": "high"
}

Impact & Results

Measurable Business
Impact

LineOps delivers concrete operational improvements and cost savings for upstream oil and gas operators.

30%

Reduce Unplanned Downtime

Predictive maintenance cuts unexpected failures by 30%, keeping your operations running continuously.

40%

Accelerate Operational Cycles

Automated workflows and IoT integration compress operational timelines significantly.

15%

Optimize Asset Utilization

Intelligent inventory management and demand forecasting boost fleet efficiency.

20%+

Lower Operational Costs

Preventative maintenance and optimized scheduling reduce emergency repairs and idle time expenses.

Real-World Applications

Use Cases for
Upstream Operations

Frac Tank & Separator Monitoring

Real-time sensor networks monitor pressure, temperature, and corrosion on frac tanks and separators. Automated alerts notify teams of anomalies, preventing catastrophic failures and environmental incidents. Custom AI models learn your asset signatures for hyper-accurate predictions.

Predict separator corrosion 30 days in advance
Monitor 1000+ BBL tank fleet simultaneously
Automated pressure alert escalation
Sour service condition tracking

Rental Fleet Optimization

Track and optimize rental equipment fleets across Canada and the US with predictive demand forecasting. Reduce idle time, optimize pricing based on market trends, and automate vendor coordination through a centralized platform.

Forecast demand trends 60 days ahead
Dynamic pricing based on market conditions
Automated rental agreement workflows
Real-time fleet utilization dashboards

Compliance & Safety Automation

Automate compliance reporting and safety documentation with real-time data collection. IoT sensors feed directly into compliance systems, eliminating manual data entry and reducing audit preparation time by 50%.

Automated HSE reporting
Real-time safety incident detection
Regulatory compliance tracking
Digital audit trail maintenance

Production Equipment Optimization

Create digital twins of production equipment and simulate different operating conditions. Test configuration changes virtually before field deployment, dramatically reducing trial-and-error and equipment downtime.

Virtual design testing under sour conditions
Performance simulation before deployment
Remote troubleshooting via digital twins
Equipment lifecycle optimization

We turn complex challenges into elegant solutions by combining strategy, technology, and deep industry expertise, all under one roof. Schedule a call

Tomorrow's systems, today.

Since 2020, we have been recognized for helping organizations build market-defining technology solutions that drive sustainable growth and operational excellence.

We partner with select clients each year to give each one the focus and care they deserve.

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