A Novel Rate of Penetration Fusion Modeling Method based on Improved Dung Beetle Optimization Algorithm and Support Vector Regression

The rate of penetration (ROP) is a critical indi-cator for evaluating drilling efficiency. Developing an accurate ROP model is essential for optimizing drilling performance and addressing process control challenges. However, ROP modeling in deep geological drilling is complicated by nonlinearity, di...

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Vydáno v:	IEEE International Conference on Industrial Technology (Online) s. 1 - 6
Hlavní autoři:	Zhou, Yang, Zhang, Zihan, Chen, Shipeng, Wu, Min, Chen, Xin
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 26.03.2025
Témata:	Benchmark testing Chaos Clustering algorithms Clustering methods Data models deep geo-logical drilling process Drilling Employee welfare fuzzy C-means Geology improved dung beetle optimization Optimization Rate of penetration Support vector machines support vector regression
ISSN:	2643-2978
On-line přístup:	Získat plný text
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