Location
Kuala Lumpur, Malaysia
Contact
+603 62113370
hello@prima-genius.com
Kuala Lumpur, Malaysia
+603 62113370
hello@prima-genius.com
AI automates the complex process of analyzing seismic and well-logging data by rapidly identifying geological patterns, potential hydrocarbon zones, and subsurface anomalies that traditionally require extensive manual interpretation. This significantly reduces exploration time, minimizes human error, and enhances the accuracy of drilling decisions—leading to higher success rates, lower operational costs, and optimized resource utilization
Real-time prescriptive analytics continuously monitor production data from wells and processing facilities, using advanced algorithms to detect performance variations and predict optimal operating conditions. By automatically adjusting flow rates, pressures, and injection parameters, the system maximizes hydrocarbon recovery while minimizing water cut and energy waste. This intelligent, data-driven approach ensures stable production, extends reservoir life, and enhances overall field profitability
Sensor data analysis leverages IoT-enabled monitoring systems to collect real-time information from critical equipment such as pumps, compressors, and turbines. Advanced analytics and machine learning models process this data to identify abnormal patterns, predict potential failures, and alert maintenance teams before breakdowns occur. By enabling predictive maintenance, this approach reduces unplanned downtime by 15–20%, lowers repair costs, extends equipment lifespan, and ensures continuous, reliable operations
AI-powered computer vision combined with sensor fusion technology enables continuous, real-time monitoring of methane and CO₂ emissions across pipelines, processing plants, and storage facilities. By integrating data from thermal cameras, gas detectors, and satellite feeds, the system can accurately detect, locate, and quantify leaks with high precision. This proactive approach allows operators to take immediate corrective actions, minimizing environmental impact, improving safety, and ensuring strict adherence to ESG (Environmental, Social, and Governance) and regulatory compliance standards
Digital twins create a dynamic, virtual replica of offshore platforms and refineries, integrating real-time operational data with advanced simulation models. This allows operators to visualize and analyze complex processes, conduct scenario-based planning, and test system responses without disrupting actual operations. By simulating equipment behavior, process changes, and emergency situations, digital twins enhance decision-making, improve safety standards, and optimize asset performance. Additionally, they provide a risk-free environment for worker training, ensuring personnel can practice critical procedures and emergency responses in realistic, interactive settings
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