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Rapid and accurate abnormity detection of log curves is critical in the quality control for logging industry. Traditional methods based on manual detection have been proven to be ineffective and unreliable. A machine learning method based on Support Vector Machine (SVM) is proposed in this paper to address this problem. The SVM classifiers are established according to the suspicious sections selected...
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