Diagnosing injection-production system faults in the same well using the rough set-LVQ neural network.

ABSTRACT: This study proposed a reverse calculation model of the unique rod pump injection and production system structures in the same well to diagnose and resolve defects, after which dynamometer diagrams of the system production and injection pumps were drawn. The invariant moment feature method was applied to identify seven such characteristics in the injection pump power graph, establishing a downhole system for fault diagnosis in rod pump injection and production systems in the same well using Rough Set(RS)-Learning Vector Quantization(LVQ). On the premise of keeping the classification ability unchanged, the Self-Organizing Map(SOM) neural network was used to discretize the original feature data, while RS theory was employed for attribute reduction. After establishing the LVQ fault diagnosis s

SUBMITTER: Yin YF 

PROVIDER: S-EPMC10681231 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature