Data Analytics and Machine Learning for the Energy and Utilities
Harness the power of big data and AI to fuel innovations in discovery, extraction, and downstream delivery of energy
Improve Production and Reduce Downtime with Data Analytics and AI
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.
Production and forecasting
Determine optimal oil extraction methods and accurately forecast production levels by analyzing seismic, drilling, well and production data in real-time.
Simplifying Data + AI so Energy Companies Can Drive Sustainable Innovation Faster
Data is at the core of nearly every innovation in the energy, oil and gas industry. Leading organizations are harnessing the power of data and analytics to solve strategic challenges and make smarter decisions that minimize risk, streamline operations and move us toward a net zero world.
Build a More Efficient Energy Supply Chain With Data + AI
Data drives innovation, and leading oil and gas companies are harnessing the power of analytics to future-proof operations and accelerate outcomes. With data at the core of their strategy, companies can make smarter decisions at every stage of the supply chain.
Improving Discovery and Production with Unified Data Analytics
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.
Make Your Oil and Gas Assets Smarter with Predictive Maintenance
Read this technical blog to learn how to build an end-to-end predictive data pipeline using real-time streaming sensor data
How DNV GL is Breaking Down Analytical Barriers Across the Energy Industry
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.
Moving Towards AI at Shell
Learn how Shell is tapping into the power of big data and analytics to enable innovative use cases that are shaping the modernization of the energy industry.
Modern Industrial IoT Analytics on Azure - Part 1
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.
Modern Industrial IoT Analytics on Azure – Part 2
Following our walk-through of a big data use case in Part 1, learn how to leverage Azure Databricks for industrial IoT analytics and see how to ingest real-time data from field devices into Azure.
Modern Industrial IoT Analytics on Azure – Part 3
Learn how to leverage machine learning for predictive maintenance and to maximize the revenue of a wind turbine while minimizing the opportunity cost of downtime, thereby maximizing profit.
“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.”
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