Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field

Research article (Journal of Petroleum Science and Engineering, 2018) · cited 156× · AI/ML
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Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field

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Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-hybrid-artificial-neural-networks-for-predicting-rate-of-penetration-rop-a-case-study-from-marun-oil-fiel
MLA “Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-hybrid-artificial-neural-networks-for-predicting-rate-of-penetration-rop-a-case-study-from-marun-oil-fiel.
BibTeX @misc{4ortxyz_application-of-hybrid-artificial-neural-networks-for-predicting-rate-of-penetration-rop-a-case-study-from-marun-oil-fiel_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-hybrid-artificial-neural-networks-for-predicting-rate-of-penetration-rop-a-case-study-from-marun-oil-fiel}, note = {Accessed: 2026-05-24}}
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