The multivariable nature of oil and gas operations makes it difficult for operators to detect and correct inefficiencies, which is critical to meeting carbon-neutrality goals. Machine learning-powered predictive analytics can help operators reduce carbon emissions by detecting abnormalities on their offshore production platforms. An integrated global energy business partnered with industrial AI leader SparkCognition to leverage its predictive AI solution in order to monitor all assets, despite the differing behaviors and life cycles of machines within the platform. By leveraging the solution, the global energy business experienced a 4% increase in existing platform availability, thereby reducing carbon emissions due to unexpected downtime.

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