Application of unsupervised data mining algorithms to select EOR solutions for depleted oilfields

  • Pham Quy Ngoc
  • Doan Huy Hien
  • Hoang Long
Keywords: EOR, data analysis, advanced algorithms, PCA, K-means

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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Published
2020-12-29
How to Cite
Pham Quy Ngoc, Doan Huy Hien, & Hoang Long. (2020). Application of unsupervised data mining algorithms to select EOR solutions for depleted oilfields. Petrovietnam Journal, 12, 30 - 36. https://doi.org/10.47800/PVJ.2020.12-04
Section
Articles

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