Case Study: BJ Energy Solutions prevents costly turbine failures with WhiteBox predictive maintenance

BJ Energy Solutions saves over $5 million with WhiteBox

BJ Energy Solutions, a North American oil and gas company, faced the challenge of preventing catastrophic and costly failures in the natural gas turbines powering their advanced fracking fleet. These essential components were susceptible to issues that could result in million-dollar losses. To address this, they partnered with WhiteBox to implement a predictive maintenance solution using IoT sensor data.

WhiteBox developed a customized data infrastructure on Azure Synapse Analytics to process the IoT data. They then built a multivariate anomaly detection model using Spark MLlib to predict turbine failures. This solution, complemented by a Power BI dashboard for operators, prevented several catastrophic failures. The project has saved BJ Energy Solutions over $5 million in repair costs to date, providing a strong return on investment and establishing them as a technological innovator in their sector.

BJ Energy Solutions