Home ›
Entities
› academia
› Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China
Research article (Journal of Petroleum Science and Engineering, 2019) · cited 93× · AI/ML
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China
Summary
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China is a scholarly article[1].
Key Facts
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China'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). Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-drilling-rate-of-penetration-rop-using-hybrid-support-vector-regression-a-case-study-on-the-shennongjia-ar
MLA“Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-drilling-rate-of-penetration-rop-using-hybrid-support-vector-regression-a-case-study-on-the-shennongjia-ar.
BibTeX@misc{4ortxyz_prediction-of-drilling-rate-of-penetration-rop-using-hybrid-support-vector-regression-a-case-study-on-the-shennongjia-ar_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-drilling-rate-of-penetration-rop-using-hybrid-support-vector-regression-a-case-study-on-the-shennongjia-ar}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China — https://4ort.xyz/entity/prediction-of-drilling-rate-of-penetration-rop-using-hybrid-support-vector-regression-a-case-study-on-the-shennongjia-ar (retrieved 2026-05-24)