Optimizing Yield for Digital Oil Fields With Cognitive Anomaly Detection and Prediction

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A large oil company needed to improve its production rate and reduce downtime for its Electrical Submersible Pumps (ESP). DataRPM developed three targeted modules for predicting oil productivity rates, analyzing the root causes of failures and optimizing ESP performance to improve yield. This repeatable domain-specific solution is suitable for replication across the oil and gas industry.