Work

Automated and Unmanned Shale Shaker Performance and Borehole Instability Monitoring Using Computer Vision and Artificial Intelligence

Year: 2024

Type: conference-paper

DOI: 10.2118/222109-ms

Authors: M. Ruggiero, A. Meledeth, F. De Smedt, R. Kucs, Georg Ripperger, S. Comotti, L. Cockram, I. Colombo

Institution: Ghent University Hospital

Language: English

Topic: Drilling and Well Engineering

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4404014180

FWCI: 2.035

Cites: 5

Cited by: 2

Related to: 10