Authors:
Neda Abolhassani
;
Ana Tudor
and
Sanjoy Paul
Affiliation:
Accenture Labs, 415 Mission St Floor 35 San Francisco, California, 94105, U.S.A.
Keyword(s):
Ontology, Oil and Gas Data Platform, Integration, Data Mesh.
Abstract:
Incompatible models, heterogeneous data, and siloed data present challenges for the Oil & Gas industry. Knowledge graphs provide efficient consolidation, improved quality, and universal access to data, addressing these challenges. Developed by major global Oil & Gas and cloud organizations, the Open Subsurface Data Universe (OSDU) platform provides subsurface energy data ingestion, enrichment, and consumption services, as well as metadata storage, indexing, and search services. OSDU data supply chain aligns with the main concepts of the new trending data architecture, Data Mesh, such as federated data governance, decoupling data from applications, and domain specific data products. Data integration in subsurface data industry can be achieved by building a domain knowledge graph based on standard and enriched OSDU framework schemas. A knowledge graph-based solution begins with building a domain ontology. The purpose of this article is to introduce the OSDU ontology, which is publicly
available on GitHub under the Apache 2.0 license. This paper discusses OSDU ontology design, development, applications, and evaluation.
(More)