Event-Driven Architecture for Orchestrated Data Transformation and OSDU Integration

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Authors: R. Gadrbouh, W. Mccreery, J.T. Chong
Cited by: 0

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