OSDU™ Data Platform
Adopt, Contribute and Digitally Curate – the main drivers of our OSDU™ strategy
At CGG Data Hub, we understand storing, organizing, integrating and interrogating subsurface data is a significant and growing challenge for energy companies. Our team is dedicated to addressing these utilizing data transformation workflows; driven by subject-matter experts, powered by technology and fully committed to the Open Subsurface Data Universe (OSDU).
As active participants in the OSDU Open Source forum, we collaborate with industry experts and technology companies to break down data silos and accelerate data access and use. With over 90 years of subsurface knowledge, we have developed a robust data model that encompasses the granularity of all subsurface disciplines, which we contribute fully to the OSDU.
Data Hub automates data curation processes and incorporates OSDU features, while providing an OSDU-compliant API on top of our database to ensure streamlined access and compatibility.
Our technology pipeline leverages cutting-edge machine learning, AI and database technologies, which speed up OSDU adoption and enable companies to unlock valuable insights and drive innovation.
SPE Tech Talk: OSDU-Integrated Data Transformation
Join experts Raghd Gadrbouh (lead architect - OSDU) and Ed Jarvis (technical head) as they discuss CGG Data Hub's OSDU journey with SPE's Carole Nakhle. In this Tech Talk, they address integrating OSDU definitions into data curation workflows and how they faced challenges encountered during data harmonization, operationalizing core concepts within the OSDU and ensuring data quality and consistency.
Efficient data classification and migration
At CGG Data Hub, we go beyond simple file ingestion. Our advanced file classification process generates a comprehensive graph database representation of files and rich metadata labels at a granular data-object level. These classification results, along with data lineage and quality, are stored in OSDU work product components, allowing smooth migration to your OSDU implementation.
Robust data quality and assurance
Following the OSDU data quality and technical assurance
To ensure data integrity and suitability for diverse business needs, our subsurface experts have defined and automated over 2000 quality control (QC) rules using OSDU definitions of data quality and technical assurance. This integration empowers users to filter data not only based on quality metrics, but also based on data suitability for general business consumption. See our use case example through the OSDU open group repository.
Enhancing OSDU data models with subsurface granularity
By contributing our industry-leading data models and collaborating closely with OSDU data definition groups, we continually improve the OSDU schema definition; accelerating the development of the Data Delivery and Management System (DDMS) and ensuring alignment with OSDU standards in a business environment.
Our OSDU roadmap
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