EOT’s Contribution to the OSDU™ Data Platform
EOT is a proud member of the OSDU™ Platform Forum, a standard data platform for the oil and gas industry, which reduces silos and solves the challenge of storing, organizing, migrating, and accessing subsurface data. Alongside Chevron, Shell, ExxonMobil, BP, AWS, and others, we’re helping guide the development of the real-time operational data platform of OSDU for the E&P industry.
Goals of OSDU data platform :
- Enable secure, reliable, global, and performant access to all subsurface and wells data
- Reduce current data silos to enable transformational workflows
- Accelerate the deployment of emerging digital solutions for better decision-making
- Create an open, standards-based ecosystem that drives innovation
This will revolutionize the industry’s ability to deliver new capabilities and reduce implementation and lifecycle costs across the subsurface community.
Be a part of the future, become a member of OSDU today: https://www.opengroup.org/membership
For a full list of members, visit HERE
The Future of Open Starts Now – Launching EOT’s OSDU Real-Time Data Contribution
May 10th, 2021. We are launching EOT’s effort to liberate operational data to flow smoothly and securely across boundaries and barriers. A secure and scalable cloud-based solution EOT’s Twin Talk works to seamlessly connect people, applications, and data across your business. The enables E&P teams to collaborate and access operational real-time data. They can create, share, and consume, faster together, through an open digital environment, free from confinement, to accelerate innovation at scale.
May 17th, 2021 – EOT announces that Twin Talk will be ingesting operational data from historians, SCADA systems and OPC UA servers into the OSDU Real-Time Platform via a new Twin Talk Apache Kafka connector.
EOT’s Twin Talk®️ is an ETL++ Software System designed for extracting, filtering, enriching, transforming, and delivering operational data from industrial data sources to cloud-based systems, apps, and platforms. Twin Talk will create data pipelines from OSDU’s streaming manifest and extract, transform and enrich data from operational data sources to simplify and accelerate the streaming process to near real-time.
Learn More About Solutions & Architectures
Industrial Data Lake
An industrial data lake is a large-scale, centralized data repository specifically designed to store, process, and analyze vast amounts of structured and unstructured data originating from various industrial assets, such as machines, sensors, production lines, and control systems. By offering a highly scalable and flexible storage solution, industrial data lakes enable organizations to efficiently manage their operational data and unlock valuable insights that can drive cost savings and revenue growth.
Enterprise Data Historian
A cloud-based enterprise data historian is a specialized data storage and management system designed to collect, store, and analyze time-series data generated by industrial processes, equipment, and control systems, with a particular focus on historical sensor data. By leveraging cloud technology, these data historians provide a highly scalable, cost-effective, and secure solution for storing and processing large volumes of historical and real-time data. The primary objective of a cloud-based enterprise data historian is to help industrial companies make data-driven decisions and optimize their operations using historical sensor data.
Industrial Digital Twin
An industrial digital twin is a virtual representation of a physical asset, process, or system within an industrial setting. It serves as a single source of truth for asset metadata, asset relationships, and hierarchical structures, providing organizations with a comprehensive, up-to-date, and accurate view of their industrial operations. By utilizing real-time data, advanced analytics, and simulation capabilities, digital twins enable organizations to optimize their processes, enhance asset performance, and reduce costs.