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LSTM-based drive power matching and its economic analysis

Year: 2024

Type: article

Abstract: The correlation coefficients of computerised well mining data and motor power, selecting indicators with high correlation as input data, predicting the minimum and maximum power of the unit based on LSTM neural network, and giving the template of drive system matching according to the theory of drive system matching technology formed for different models.

Source: Mathematical Modeling and Algorithm Application

DOI: 10.54097/6hmrtj96

Author: Jiaqi Yao

Language: English

Topic: Oil and Gas Production Techniques

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4402547549

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