2024
DOI: 10.9734/jerr/2024/v26i41123
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Predicting Onset of Sand Production in Oil Wells using Machine Learning

Gorei Nkela Ngochindo,
Amieibibama Joseph

Abstract: Sand production in oil wells is a significant challenge that negatively impacts productivity  and compromise equipment integrity. This study explores the application of Optimized Support Vector Machine (SVM) binary classification algorithm to predict the onset of sand production in oil wells. A dataset from 63 oil wells was utilized, and class labels were determined based on the bulk and shear modulus product.  The model development incorporated geological and mechanical parameters that could influence sand de… Show more

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