Impact 2024: The Industrial Data and AI Conference for and by Users | Nominate Speakers Now for a Ch...
Your product ideas makes our products better! We are committed and excited to develop a better product, better applications and solutions for, and with you, and the rest of our community. Our Product Ideas category is the best place to share your requests and discuss them with other community members and our product team. Share the feature requests you’d like to see in our products, applications, and solutions, and support ideas submitted by others by upvoting them. We review all product ideas, and we’ll engage with you about your idea to make sure we understand your use cases and needs. Before you submit product ideas, search first We hope you have checked if someone has already submitted a request like yours 🙂. If you find your idea submitted by someone else, upvote on that idea instead of submitting the same idea again. Add comments to the thread should you have more on your mind. Describe your idea with as much detail as possible It will help us better understand your requiremen
IN SHORTWintershall Dea used Cognite Data Fusion to combine contextualized data with domain expertise and develop machine learning models to monitor the installed gas turbine at the Mittelplate oil field, detecting faulty shutdowns and alerting maintenance engineers to avoid a potential breakdown during restart. $865,000 saved per incident Less unplanned downtime, lower repair costs More condition-based maintenance CHALLENGELiberate data for condition monitoringAn installed gas turbine generates electricity to power Wintershall Dea’s installation at the Mittelplate oil field off the coast of Germany. However, the maintenance engineers and electricians responsible for monitoring the turbine rely on fixed thresholds for alarms and warnings.These experts lacked an easy way to receive early warnings about failures, which would enable them to perform troubleshooting on the turbine and avoid breakdowns.Wintershall Dea needed a solution that could operationalize machine learning models
IN SHORTAker BP used DataOps provided by Cognite, including Cognite Data Fusion (CDF), to connect data from sensors and other sources to equipment tags, and the equipment tags to 3D models of three different installations. The 3D models are viewable on any computer and handheld device, enabling field workers to quickly locate equipment, reducing the time needed to perform scheduled maintenance on multiple valves. Reduced time spent on routine inspections by 75% 3D models viewable on any computer or handheld device Equipment located quickly and accurately CHALLENGEOil and gas installations are immensely complicated structures of interconnected components. Seasoned field workers may know the installation like the back of their hand, but knowing the exact location of every single piece of equipment on an installation is impossible. With that, too much time are spent searching for equipment in hazardous conditions. When field workers conduct scheduled maintenance, they normally print
IN SHORTWintershall Dea used DataOps provided by Cognite, including Cognite Data Fusion (CDF) and Asset Data Insight, to provide a holistic overview of maintenance work and highlight priorities and opportunities. CHALLENGEHow Cognite Data Fusion streamlined maintenance work for Wintershall Dea Wintershall Dea’s history stretches back more than a century. Today, the company searches for and produces natural gas and crude oil on four different continents. With so many installations, pipelines, vehicles, and other assets to keep track of, it can sometimes be challenging to take a step back from all the maintenance work going on within the company and analyze larger trends, such as the frequency of issues like corrosion, how often a particular component breaks down, and how much the company is spending on corrective versus preventive maintenance. SOLUTIONThe solution saves Wintershall Dea's experts an estimated 10 hours a week. Cognite Data Fusion (CDF) liberated data about work orders fr
As you advance through our community, your profile gains new levels and badges, symbolizing your active involvement across community engagement, completed learning paths, and project experience. Your level and badges not only showcase your expertise but also contribute to building a strong brand presence for the company you represent.Levels are awarded based on your all-time point achievement. When you earn a new level, the new level badge displays on your profile, and the name of it displays in other places where your name appears. Levels serve as a swift means to communicate both your expertise and your company’s standing in the eyes of fellow community members, customers, and partners, encompassing both knowledge and reputation. You can earn points at all badge levels through various methods, including: Providing an answer that's marked as "Best Answer”, Creating a topic, Posting a reply, Liking a post or upvoting an idea, Receiving a like or a vote, Co
IN SHORTAker BP used Industrial DataOps software provided by Cognite, including Cognite Data Fusion, to combine contextualized data from four different source systems in one dashboard, giving offshore and onshore maintenance organization a simple but powerful tool for reviewing the maintenance status of critical equipment. 15 hours saved every week from automating data collection Data liberated from four different source systems Improved efficiency from overview of critical equipment status CHALLENGEToo much time spent on administrative work and maintenance planningAker BP’s offshore and onshore maintenance organization meets every Wednesday to discuss how to prioritize the maintenance of critical equipment on all its installations over the next week.In order to run an effective meeting, the organization creates and distributes a spreadsheet ahead of time that gives attendees an overview of the maintenance status of critical equipment.Assembling the spreadsheet is a cumbersome pr
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