Work

Predicting Gas Lift Equipment Failure with Deep Learning Techniques

Year: 2025

Type: conference-paper

Source: Offshore Technology Conference

DOI: 10.4043/35605-ms

Authors: James O. Arukhe, Ammal F. Anazi

Institution: Saudi Aramco (Saudi Arabia)

Language: English

Topic: Oil and Gas Production Techniques

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4409855903

FWCI: 8.897

Cites: 10

Cited by: 3

Related to: 10