OIL & GAS FACILITIES
Why SensorOps for Oil & Gas
Edge-First Processing
Hazard-Aware Training
Rare Event Coverage
Sensor Agnostic
Perational Continuity
Challenges in Oil and Gas Operations
Complex, Hazardous Sites
Refineries, terminals, and pipeline corridors contain restricted zones, explosive atmospheres, and strict safety rules that limit access and inspection methods.
Narrow Operational Window
Shutdowns and turnarounds create limited opportunities for inspection. Every minute of access must deliver maximum value.
Rare, High-Consequence Anomalies
Leaks, pooling, thermal irregularities, and equipment degradation are subtle and infrequent, making them difficult to capture in standard training datasets.
Multi-Domain Security
Protecting facilities requires coordinating ground patrols, fixed cameras, and aerial surveillance into a unified security picture.
SensorOps Oil & Gas Solutions
Deploy individually or combine for end-to-end capability.
SynDOJO – Rehearsal Before Live Work
SynDOJO enables inspection and security teams to train in realistic simulations before entering hazardous environments. Build proficiency without risking personnel or equipment.
Facility-Specific Scenarios
Build training environments that mirror actual layouts, critical zones, no-fly corridors, and access routes
Crew Readiness
Train teams on approach patterns, camera operation, checklist execution, and contingency responses
Inject-Based Training
Simulate events like leaks, unauthorized vehicles, or equipment anomalies to test crew reactions
Objective Scoring
Grade performance on coverage, timing, checklist adherence, and response quality
TargetModeler – Synthetic Asset and Anomaly Data
Synthetic Asset and Anomaly Data
TargetModeler generates the diverse, labeled datasets needed to train detection models for rare and high-consequence conditions that real-world data alone cannot provide.
Infrastructure Datasets
Generate EO/IR imagery featuring tanks, piping, flare stacks, vehicles, and personnel across lighting and weather conditions
Anomaly Examples
Create labeled data for pooling, discoloration, thermal irregularities, unplanned vehicles, and activity near restricted areas
Balanced Training Data
Cover variations by asset type, range, angle, and environmental conditions so models generalize across facilities
Continuous Model Improvement
Update training data as new threats and anomaly types emerge
TacOS – Edge Analytics Around the Facility
TacOS runs AI models on UAS-mounted or fixed sensors to detect anomalies and security events in real time, without waiting for data to reach a central operations center.
On-Site Detection
Run trained models at the edge to identify anomalies and activity near sensitive areas instantly
Contextual Alerts
Tag detections with location, asset context, and confidence level for faster operator response
System Integration
Publish alerts into existing VMS, SOC tooling, SCADA systems, or operations dashboards
Bandwidth-Aware Operation
Shift data flows from full-motion video to relevant events and frames when connectivity is constrained
SensorOps Oil & Gas Solutions
Deploy individually or combine for end-to-end capability.
SynDOJO – Rehearsal Before Live Work
SynDOJO enables inspection and security teams to train in realistic simulations before entering hazardous environments. Build proficiency without risking personnel or equipment.
• Facility-Specific Scenarios: Build training environments that mirror actual layouts, critical zones, no-fly corridors, and access routes• Crew Readiness: Train teams on approach patterns, camera operation, checklist execution, and contingency responses• Inject-Based Training: Simulate events like leaks, unauthorized vehicles, or equipment anomalies to test crew reactions• Objective Scoring: Grade performance on coverage, timing, checklist adherence, and response quality
Facility-Specific Scenarios
Build training environments that mirror actual layouts, critical zones, no-fly corridors, and access routes
Crew Readiness
Train teams on approach patterns, camera operation, checklist execution, and contingency responses
Inject-Based Training
Simulate events like leaks, unauthorized vehicles, or equipment anomalies to test crew reactions
Objective Scoring
Grade performance on coverage, timing, checklist adherence, and response quality
TargetModeler – Synthetic Asset and Anomaly Data
Synthetic Asset and Anomaly Data
TargetModeler generates the diverse, labeled datasets needed to train detection models for rare and high-consequence conditions that real-world data alone cannot provide.
• Infrastructure Datasets: Generate EO/IR imagery featuring tanks, piping, flare stacks, vehicles, and personnel across lighting and weather conditions• Anomaly Examples: Create labeled data for pooling, discoloration, thermal irregularities, unplanned vehicles, and activity near restricted areas• Balanced Training Data: Cover variations by asset type, range, angle, and environmental conditions so models generalize across facilities• Continuous Model Improvement: Update training data as new threats and anomaly types emerge
Infrastructure Datasets
Generate EO/IR imagery featuring tanks, piping, flare stacks, vehicles, and personnel across lighting and weather conditions
Anomaly Examples
Create labeled data for pooling, discoloration, thermal irregularities, unplanned vehicles, and activity near restricted areas
Balanced Training Data
Cover variations by asset type, range, angle, and environmental conditions so models generalize across facilities
Continuous Model Improvement
Update training data as new threats and anomaly types emerge
TacOS – Edge Analytics Around the Facility
TacOS runs AI models on UAS-mounted or fixed sensors to detect anomalies and security events in real time, without waiting for data to reach a central operations center.
On-Site Detection
Run trained models at the edge to identify anomalies and activity near sensitive areas instantly
Contextual Alerts
Tag detections with location, asset context, and confidence level for faster operator response
System Integration
Publish alerts into existing VMS, SOC tooling, SCADA systems, or operations dashboards
Bandwidth-Aware Operation
Shift data flows from full-motion video to relevant events and frames when connectivity is constrained
Operational Impact
Safer Operations:
Stronger Detection Models:
Faster Response
Analytics placed closer to sensors, enabling timely decisions with limited bandwidth
Reduced Downtime
Unified Security
Integration
SCADA Compatible
Connect with existing supervisory control and data acquisition systems
VMS and SOC Integration
Feed alerts directly into video management and security operations platforms
API Access
Connect with enterprise asset management and operations dashboards
Industry Standards
Architecture aligned with API, OSHA, and PHMSA operational requirements