Application of unsupervised data mining algorithms to select EOR solutions for depleted oilfields
Abstract
Enhanced oil recovery (EOR) provides a solution to increase oil production, especially in cases where the reservoirs have high water cut and declining oil production rate. This study involves the collection of numerous successful EOR projects throughout the world and application of advanced data mining techniques such as principal component analysis (PCA) and K-means clustering to learn from the experiences of these projects, and on that basis find suitable criteria and EOR solutions for depleted oil fields in Vietnam.
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