Home ›
Entities
› academia
› Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models
Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models
Research article (Journal of Petroleum Science and Engineering, 2021) · cited 65× · AI/ML
Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models
Summary
Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models is a scholarly article[1].
Key Facts
Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models. Retrieved May 24, 2026, from https://4ort.xyz/entity/computational-prediction-of-the-drilling-rate-of-penetration-rop-a-comparison-of-various-machine-learning-approaches-and
MLA“Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computational-prediction-of-the-drilling-rate-of-penetration-rop-a-comparison-of-various-machine-learning-approaches-and.
BibTeX@misc{4ortxyz_computational-prediction-of-the-drilling-rate-of-penetration-rop-a-comparison-of-various-machine-learning-approaches-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models}}, year = {2026}, url = {https://4ort.xyz/entity/computational-prediction-of-the-drilling-rate-of-penetration-rop-a-comparison-of-various-machine-learning-approaches-and}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models — https://4ort.xyz/entity/computational-prediction-of-the-drilling-rate-of-penetration-rop-a-comparison-of-various-machine-learning-approaches-and (retrieved 2026-05-24)
