Case Study: Largest Oil and Gas Producing Company predicts 45% of beam pump failures (77% precision) with C3 IoT's C3 Predictive Maintenance

A C3 IoT Case Study

Preview of the Largest Oil and Gas Producing Company Case Study

Largest Oil and Gas Producing Company - Customer Case Study

Largest Oil and Gas Producing Company was losing weeks of production and incurring high emergency maintenance and replacement costs due to frequent beam pump failures across its 22,000+ well portfolio (about 17,000 with beam-pump artificial lift). To address this, the customer engaged C3 IoT and deployed C3 Predictive Maintenance™ in an initial 12‑week phase to improve condition-based maintenance and forecast equipment failures.

C3 IoT built the solution on the C3 IoT Platform running on AWS, integrating daily sensor readings and unstructured maintenance notes from three source systems across 1,000+ wells and six years of data, and developing 650 analytics and separate prediction scores for assets. The deployment produced weeks‑ahead failure forecasts and, according to results, C3 IoT’s application accurately predicted 45% of beam pump failures occurring within six months with 77% precision, enabling better maintenance decisions and plans to scale the approach across 22,000+ wells.


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