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Downstream oil and gas refineries and petrochemical facilities must oversee a complex network of legacy equipment, processes, and technical infrastructure. The scale and complexity of downstream operations, along with siloed systems, make it difficult to access relevant, real-time business data and engage in high-value activities that are necessary to stay competitive in the industry. Refinery Monitoring and Surveillance solutions on AWS make it simple to access, centralize, and manage disparate sources of industrial data using edge software, cloud-native batch processing, near-real-time data storage, and data-visualization dashboards. With these solutions, oil and gas customers can readily access the data that they need to drive high-value initiatives, such as predictive equipment maintenance, spill and leak detection, and greenhouse gas emissions management.
Cloud-ready, ready-to-use AI/ML collaborative solution. Enrich & process the data streams across IIoT and enterprise data sources
Organize & store that data for Advanced data modeling, robust data pipelines, auto-scaling & best-in-class security, analytics & machine learning.
TwinTalk, an event-driven, real-time data sharing platform, enables you to read, write, monitor and stream large amount of operational sensor data bi-directionally between operational system (such as OSIsoft PI) and public/private clouds, data lakes, platforms, and AI, ML or analytics applications.
This Guidance is a cloud-native, fully customizable, artificial intelligence (AI) offering that provides insights, predictions, and recommendations for hydrocarbon manufacturers.