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Oil and gas production often faces inefficiencies due to complex reservoir behavior, equipment limits, and delayed data, leading to suboptimal recovery and increased operational costs.
Drake AI uses advanced AI/ML algorithms to analyze real-time and historical production data, uncover hidden patterns, and optimize variables like flow rates and pressures, boosting output while reducing costs and downtime.
Drake AI stands out by combining physics-informed ML with real-time data analytics, enabling more accurate, adaptive production optimization. Unlike generic models, it provides insights to each reservoir’s unique behavior.
Artificial lift failures in oil and gas wells lead to unplanned downtime, reduced production, and costly repairs, often caused by delayed fault detection and lack of real-time performance monitoring.
Drake AI uses advanced AI/ML to monitor real-time sensor data from SRP and ESP systems, detecting anomalies and predicting failures early. This enables predictive maintenance, reduces downtime, and extends equipment life.
Drake AI outperforms competitors by combining domain-specific ML models with real-time IoT data, enabling earlier and more accurate failure predictions for SRP and ESP. Its adaptive approach reduces false alarms and maintenance costs.