Articles citing this paper
Application of machine learning methods to assess progressive cavity pumps (PCPs) performance in coal seam gas (CSG) wells
Fahd Saghir A C , M. E. Gonzalez Perdomo A and Peter Behrenbruch B
+ Author Affiliations
- Author Affiliations
A Australian School of Petroleum and Energy Resources, Santos Petroleum Engineering Building, University of Adelaide, SA 5005, Australia.
B Bear and Brook Consulting, 135 Hilda Street Corinda, Qld 4075, Australia.
C Corresponding author. Email: fahd.saghir@adelaide.edu.au
The APPEA Journal 60(1) 197-214 https://doi.org/10.1071/AJ19044
Submitted: 12 December 2019 Accepted: 23 January 2020 Published: 15 May 2020
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