Steering drilling wellbore trajectory prediction based on the NOA-LSTM-FCNN method

Abstract Aiming at the problem that it is difficult to accurately predict wellbore trajectory under complex geological conditions, the NOA-LSTM-FCNN prediction method for steering drilling wellbore trajectory is proposed by combining NOA, LSTM and FCNN. This method adopts LSTM layer to receive input...

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Autori principali:	Yi Gao, Na Wang, Fei Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-02-01
Serie:	Scientific Reports
Soggetti:	Steering drilling system Wellbore trajectory prediction Nutcracker optimization algorithm Long short-term memory network Fully connected neural network
Accesso online:	https://doi.org/10.1038/s41598-025-89826-z
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