Harness the power of big data and AI to fuel innovations in discovery, extraction, and downstream delivery of energy
Enabling oil and gas companies to leverage data analytics, machine learning and AI to unlock new efficiencies in production while mitigating risk and reducing operational downtime — powered by the Databricks Unified Data Analytics Platform.
Pinpoint oil reserves and better predict where to drill next by applying machine learning to large volumes of seismic, soil, and equipment data.
Avoid production failures and downtime by analyzing real-time machine data, maintenance schedules, and other historical data to predict equipment maintenance needs.
Determine optimal oil extraction methods and accurately forecast production levels by analyzing seismic, drilling, well and production data in real-time.
Learn how Shell uses Databricks to optimize inventory and improve retail operations resulting in millions of dollars of savings.
Watch this video to learn how Devon Energy leverages Azure Databricks to analyze massive volumes of seismic and well data to find oil and gas more efficiently.Watch now
Read this technical blog to learn how to build an end-to-end predictive data pipeline using real-time streaming sensor dataRead more
Learn how DNV GL is leveraging Databricks to process IoT sensor data and train machine learning models at scale — turning smart meter data into insights to better serve their customers.Watch now
Learn how the Industrial Internet of Things (IIoT) has grown over the last few years as a grassroots technology stack being piloted predominantly in the oil & gas industry to wide scale adoption and production use.Read More
“Databricks has produced an enormous amount of value for Shell. The inventory optimization tool [built on Databricks] was the first scaled up digital product that came out of my organization and the fact that it’s deployed globally means we’re now delivering millions of dollars of savings every year.”
Read the Case Study