An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction

Research article (Geoenergy Science and Engineering, 2023) · cited 27× · AI/ML
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An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction

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An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-explainable-ensemble-machine-learning-model-to-elucidate-the-influential-drilling-parameters-based-on-rate-of-penetra
MLA “An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-explainable-ensemble-machine-learning-model-to-elucidate-the-influential-drilling-parameters-based-on-rate-of-penetra.
BibTeX @misc{4ortxyz_an-explainable-ensemble-machine-learning-model-to-elucidate-the-influential-drilling-parameters-based-on-rate-of-penetra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction}}, year = {2026}, url = {https://4ort.xyz/entity/an-explainable-ensemble-machine-learning-model-to-elucidate-the-influential-drilling-parameters-based-on-rate-of-penetra}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction — https://4ort.xyz/entity/an-explainable-ensemble-machine-learning-model-to-elucidate-the-influential-drilling-parameters-based-on-rate-of-penetra (retrieved 2026-05-24)

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