Event-Driven Architecture for Orchestrated Data Transformation and OSDU Integration
Abstract
Summary The architecture is designed for continuous extension, enabling the integration of new sources, transformation modules, and functional components over time, so that newly acquired and discovered datasets remain live, reliable, and readily accessible across OSDU-native applications and workflows. The implementation of the Petrel seismic horizons module exemplifies how the framework maintains full lineage, schema conformance, and traceability while sustaining high-throughput ingestion into OSDU. This architecture enables subsurface data to remain current, interoperable, and accessible for analytical and decision-making processes.
Fields of Study & Subjects
Scientific Computing and Data Management
Environmental Monitoring and Data Management
Advanced Database Systems and Queries
Publication details
- Journal / source
- EAGE Digitalization Conference & Exhibition
- Pages
- 1–4
- Publication date
- 1 January 2026