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Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques

Research article (Journal of Industrial Information Integration, 2021) · cited 123× · AI/ML
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Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques

Summary

Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques is a scholarly article[1].

Key Facts

  • Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/digital-twin-for-oil-pipeline-risk-estimation-using-prognostic-and-machine-learning-techniques
MLA “Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/digital-twin-for-oil-pipeline-risk-estimation-using-prognostic-and-machine-learning-techniques.
BibTeX @misc{4ortxyz_digital-twin-for-oil-pipeline-risk-estimation-using-prognostic-and-machine-learning-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques}}, year = {2026}, url = {https://4ort.xyz/entity/digital-twin-for-oil-pipeline-risk-estimation-using-prognostic-and-machine-learning-techniques}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques — https://4ort.xyz/entity/digital-twin-for-oil-pipeline-risk-estimation-using-prognostic-and-machine-learning-techniques (retrieved 2026-05-24)

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