Work

Machine Learning for Progressive Cavity Pump Performance Analysis: A Coal Seam Gas Case Study

Year: 2019

Type: conference-paper

Source: Proceedings of the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference

DOI: 10.15530/ap-urtec-2019-198281

Authors: Fahd Saghir, M.E. Gonzalez Perdomo, Peter Behrenbruch

Institution: The University of Adelaide

Language: English

Topic: Oil and Gas Production Techniques

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3000520448

FWCI: 0.995

Cites: 7

Cited by: 4

Related to: 10