Two-Direction Prediction Method of Drilling Fluid Based on OS-ELM for Water Well Drilling

In this study, a drilling fluid prediction method based on an online sequential extreme learning machine (OS-ELM) is proposed, which is prepared for water well drilling on the muddy clay formation of Tarim Basin, Qinghai Province. First, we investigated the mechanism linking mix ratio to fluid perfo...

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Vydané v:	Journal of advanced computational intelligence and intelligent informatics Ročník 27; číslo 4; s. 594 - 602
Hlavní autori:	Xu, Yuan, Zhang, Di, Xian, Tianlang, Ma, Zhizhang, Gao, Hui, Ma, Yuanyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Tokyo Fuji Technology Press Co. Ltd 01.07.2023
Predmet:	Additives Algorithms Artificial neural networks Construction accidents & safety Drilling Drilling fluids Drilling machines (tools) Drilling muds Efficiency Engineering Hydrology Machine learning Parameter modification Prediction models Rheology Slurries Viscosity Water wells Well drilling
ISSN:	1343-0130, 1883-8014
On-line prístup:	Získať plný text
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