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Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations

Research article (Proceedings of the 7th Unconventional Resources Technology Conference, 2019) · cited 12× · AI/ML
academia openalex:W2966332045
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Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations

Summary

Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations is a scholarly article[1].

Key Facts

  • Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations'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). Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-for-estimating-rock-mechanical-properties-beyond-traditional-considerations
MLA “Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-for-estimating-rock-mechanical-properties-beyond-traditional-considerations.
BibTeX @misc{4ortxyz_machine-learning-for-estimating-rock-mechanical-properties-beyond-traditional-considerations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-for-estimating-rock-mechanical-properties-beyond-traditional-considerations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations — https://4ort.xyz/entity/machine-learning-for-estimating-rock-mechanical-properties-beyond-traditional-considerations (retrieved 2026-05-24)

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