Real-time measurement method of drilling fluid rheological parameters based on multi-objective inversion

•A real-time measurement method of drilling fluid rheological parameters is developed.•A surrogate model between the differential pressure and rheological parameters is set up.•An inversion model for rheological parameters with multi-objective JAYA algorithm is proposed.•The applicability and effect...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 223; s. 113706
Hlavní autori:	Zou, Jialing, Ni, Yuanlei, Liang, Haibo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2023
Predmet:	Drilling fluids Extreme Learning Machine JAYA optimization algorithm Multi-target inversion Rheological properties parameters Multi-target inversion Extreme Learning Machine JAYA optimization algorithm Rheological properties parameters Drilling fluids
ISSN:	0263-2241
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