OSDU™ Data Platform
Adopt, Contribute and Digitally Curate – the main drivers of our OSDU™ strategy
At CGG Data Hub, we understand the growing challenge that energy companies face in storing, organizing, integrating and interrogating subsurface data.
Our approach centers on incorporating Open Subsurface Data Universe (OSDU) features within data transformation workflows. This strategy is driven by our team of subject-matter experts and propelled by a technology pipeline that leverages cutting-edge machine learning, AI and database technologies, accelerating data access and use to unlock valuable insights. Additionally, we offer an OSDU-compliant API on top of our database to streamline compatibility.
As active participants in the OSDU Open Source forum, we collaborate with industry experts and technology companies to dismantle data silos. 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.
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
Our advanced file classification process goes beyond simple file ingestion and 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
Stay Updated
Subscribe at the button below to be notified about Data Transformation and OSDU news.
