Article Details

Abstract

With the in-depth advancement of data governance in oil and gas exploration and development, data resources become the core assets of enterprises. However, traditional exploration and development data standards in document form suffer from poor readability, delayed updates, and a low degree of automation. Addressing the structuring needs of exploration and development data standard documents, this paper analyzes the limitations of traditional document management and proposes a design method for a metadata-driven three-level structured model for exploration and development data standards. It constructs a parsable, scalable, and manageable data standard model framework. Through data standard document parsing, collaborative metadata extraction, and meta-model construction, and by relying on the exploration and development data lake, it realizes the transformation of data standards from single static documents to diverse dynamic structured models, as well as the full lifecycle management and control of data standards. Application practice shows that this method significantly improves the enforceability, maintainability, and system integration capability of data standards, facilitates the refined full lifecycle management of data standards, and provides basic support for the data assetization management of enterprise exploration and development.

Keywords

exploration and development data standard; metadata-driven; structured model; full lifecycle management; data assetization

References

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Funding

China National Offshore Oil Corporation Information Construction Project "Intelligent Analysis Tool Construction for Exploration and Development Data Lake Platform" (2025-2025-YXXX-JS-01)

About the authors

Tian Jing (1993-), female, Han nationality, from Baiyin, Gansu, engineer, master's student, research direction: data governance.