Large Equipment Failure Monitoring with Computer Vision in Oil & Gas
Overview
Horizon Energy – Saudi Arabia’s leading oil and gas company with a global presence in the energy sector. Despite its extensive reach, Horizon Energy faced growing operational challenges impacting efficiency and safety. From monitoring remote assets to ensuring compliance with environmental and safety standards, these challenges became more pressing as the company scaled its operations across challenging terrains and extreme climates.
Technical Stack
Industry
Oil & Gas
Region
Saudi Arabia
Project Size
Non- Disclosable
Highlights
Automated leak detection, reducing detection time by 80%.
20% improvement in equipment maintenance schedules, minimizing unexpected downtimes.
Increased worker safety compliance by 40% through real-time safety monitoring.
Enhanced environmental monitoring with automated emission tracking.
Reduced operational costs by 25% by automating repetitive and error-prone tasks.
Achieved 95% accuracy in asset monitoring across both onshore and offshore sites.
Challenges & Solutions
Frequent manual inspections of pipelines were time-consuming and prone to human error.
- Solution: Our computer vision developers created models that helped our client analyze drones and CCTV cameras to identify real-time leaks and anomalies. It helped our client eliminate manual dependencies and become proactive.
The company struggled to monitor equipment integrity across various sites, leading to unplanned downtimes and affecting productivity.
- Solution: Using predictive maintenance models combined with IoT sensors, we provided real-time alerts for equipment requiring maintenance, thereby preventing unplanned downtimes and extending the lifespan of critical machinery.
Ensuring all safety regulations were met in real time was difficult, especially with vast onshore and offshore facilities.
- Solution: We deployed an AI-driven system that monitors workers’ safety gear compliance. The system detects real-time safety violations and immediately notifies supervisors to ensure rapid corrective action.
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Years of Business
Experience
Happy
Customers
Countries with
Happy Customers
Agile enabled
employees
Core Features
- Real-Time Anomaly Detection
- Predictive Maintenance Alerts
- Safety Compliance Monitoring
- Automated Environmental Monitoring
No. of Developers
04
Time Frame
August 2024 - Ongoing
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