Data Mining Applied to Oil Well Using K-Means and DBSCAN
Chang Hua Lu, Yueting Shi, Yueyang Chen, Shi-qi Bao, Lixing Tang · 2016
Oil is essential to our life mainly in transportation, and thus the productivity of oil well is very important. Classification of oil wells can make it easier to manage wells to ensure good oil productivity. Machine learning is an emerging technology of analyzing data in which cluster is a good way to do classification. The paper will apply two kinds of cluster method to the data from Dagang oil well and then do analysis on not only the classification results but also the choice of method for future analysis.