Case study: predicting ESP failures with variable data quality
Electric submersible pumps (ESP) are critical assets that are expensive to purchase, operate, and maintain. This makes it crucial for oil and gas operators to find ways to predict issues with ESPs and take action before they fail.
Learn how a major oil and gas company worked with SparkCognition to successfully predict ESP failures despite significant challenges with sporadic sensor data.
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