Case Study: an E&P operator company improves rig activity analysis with SparkCognition’s DeepNLP

E&P Operator Company - Customer Case Study

a major E&P operator was facing significant inefficiencies and financial losses due to non-productive time and invisible lost time on its oil rigs. The manual process of categorizing and analyzing rig activity logs to identify these issues was a full-time job for an employee and was prone to human error and subjectivity. To solve this, the operator partnered with SparkCognition.

SparkCognition implemented its DeepNLP platform to automatically analyze unstructured rig activity logs and categorize the work. The system successfully automated the entire manual process, achieving an accuracy on par with two rounds of human quality assurance. This provided the operator with precise, actionable insights into operational inefficiencies, allowing them to pinpoint and address the causes of lost time to maximize production and gain a competitive advantage.