Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development

Xianming Tang; Zhiqiang Feng; Yitian Xiao; Ming Wang; Tianrui Ye; Yujie Zhou; Jin Meng; Baosen Zhang; Dongwei Zhang

doi:10.1016/j.gsf.2022.101426

Volume 14 Issue 5

Jul. 2023

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Article Navigation > Geoscience Frontiers > 2023 > 14(5): 101426

Xianming Tang, Zhiqiang Feng, Yitian Xiao, Ming Wang, Tianrui Ye, Yujie Zhou, Jin Meng, Baosen Zhang, Dongwei Zhang. Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development[J]. Geoscience Frontiers, 2023, 14(5): 101426. doi: 10.1016/j.gsf.2022.101426

Citation:

Xianming Tang, Zhiqiang Feng, Yitian Xiao, Ming Wang, Tianrui Ye, Yujie Zhou, Jin Meng, Baosen Zhang, Dongwei Zhang. Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development[J]. Geoscience Frontiers, 2023, 14(5): 101426. doi: 10.1016/j.gsf.2022.101426

Citation:

Xianming Tang, Zhiqiang Feng, Yitian Xiao, Ming Wang, Tianrui Ye, Yujie Zhou, Jin Meng, Baosen Zhang, Dongwei Zhang. Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development[J]. Geoscience Frontiers, 2023, 14(5): 101426. doi: 10.1016/j.gsf.2022.101426

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Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development

doi: 10.1016/j.gsf.2022.101426

Petroleum Exploration and Production Research Institute, SINOPEC, Beijing 102206, China

More Information

Corresponding author: E-mail address: zdw.syky@sinopec.com (D. Zhang)
Received Date: 2022-02-28
Accepted Date: 2022-06-23
Rev Recd Date: 2022-05-23

Available Online: 2022-06-27

Publish Date: 2023-09-01

Abstract

Abstract

The massive amount and multi-sourced, multi-structured data in the upstream petroleum industry impose great challenge on data integration and smart application. Knowledge graph, as an emerging technology, can potentially provide a way to tackle the challenges associated with oil and gas big data. This paper proposes an engineering-based method that can improve upon traditional natural language processing to construct the domain knowledge graph based on a petroleum exploration and development ontology. The exploration and development knowledge graph is constructed by assembling Sinopec's multi-sourced heterogeneous database, and millions of nodes. The two applications based on the constructed knowledge graph are developed and validated for effectiveness and advantages in providing better knowledge services for the oil and gas industry.
- Knowledge Graph,
- Petroleum exploration and development,
- Natural language processing,
- Ontology

CRediT authorship contribution statement
Xianming Tang: Writing – original draft, Conceptualization, Writing – review & editing. Zhiqiang Feng: Conceptualization, Project administration, Funding acquisition. Yitian Xiao: Conceptualization, Methodology, Validation. Ming Wang: Visualization, Supervision. Tianrui Ye: Methodology, Writing – review & editing. Yujie Zhou: Methodology. Jin Meng: Software. Baosen Zhang: Validation. Dongwei Zhang: Writing – review & editing, Visualization, Formal analysis, Supervision.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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References(10)

References

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