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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.

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/content/papers/10.3997/2214-4609.202639047
2026-03-09
2026-02-06
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References

  1. Energistics. (2015, September 11). Knowledge hierarchy: Features, interpretations, representations, and properties (RESQML v2.0.1). In RESQML standard. Energistics. https://docs.energistics.org/index_frames.html?q=/RESQML/RESQML_TOPICS/RESQML-000-133-0-C-sv2010.html
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  2. Lun, C.H., Hewitt, T., and Hou, S., [2022], A machine learning pipeline for document extraction: First Break, 40(2), 73–78.
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