NOV
Assembly Line
How NOV solved critical oilfield operations using Databricks Data Intelligence Platform
NOV is a global oilfield services corporation. In order to better achieve scale and achieve data driven decisions across their operations, NOV aspired to create a data command center involving a comprehensive approach to ingest and seamlessly integrate real-time streaming data with historical batch data to provide a holistic overview of well site activities.They have implemented advanced data analytics and visualization tools to make sure that operators can promptly identify anomalies, potential issues, and trends from the well data.
Rigs generate over 1 billion rows of data per day from 30,000+ sensors streaming at 1 Hz or higher. This sensor data streams seamlessly into central repositories such as Aveva PI, formerly known as OSIsoft, yet corporate data and equipment details remain siloed, needing duplicated efforts due to limited data access. A robust model deployment pipeline significantly improves data-driven optimization. Modernizing to a unified, scalable data environment is critical for unlocking data-driven insights.
Implementing Databricks on AWS has proven instrumental in advancing CBM strategies within the realm of drilling equipment, leading to substantial improvements in the supply chain management of such crucial assets. By harnessing the power of data analytics and ML on the Databricks Data Intelligence Platform organizations can efficiently monitor the health and performance of drilling equipment in real-time.