Research on Preprocessing Methods for Production Data of Electric Pump Wells
The production data of electric pump wells has characteristics such as asynchrony,imbalanced samples,instability,and incompleteness.To avoid the phenomenon of abnormal data affecting subsequent production calculation,working condition diagnosis,intelligent warning,etc.,data preprocessing has become an important step in improving data quality.This article focuses on the application of support vector machine(SVM),min-max standardization processing,data cleaning,and auxiliary classifier generative adversarial networks for data electric pump wells.These preprocessing algorithms can meet the high-quality requirements for data in subsequent data mining processes,thus forming a unified and complete data governance system and enhancing the support ability of data governance for key business of electric pump wells.
support vector machinestandardized processingdata preprocessingauxiliary classifier generative adversarial networks
国家科技期刊平台
NSTL
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