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- Title
Prediction of water injection effective cycle for oil wells based on PCA-ANFIS.
- Authors
TIAN Ya-juan; LIU Ye; MA Wei; CHENG Guo-jian
- Abstract
To solve the problem of uncertain cycle of water injection in the oil field, a numerical method based on PCA-ANFIS is proposed for the prediction of effective cycle of water injection. Using PCA to reduce the dimension of original data, ANFIS is applied to train and test the new data. The correctness of PCA-ANFIS model is checked by the real injection statistics data of 116 wells from an oil field, the average absolute error of test is 1. 80 months. However, the average error is 4. 33 months without processing by PCA, the test accuracy has been greatly improved by PCA-ANFIS. Therefore, PCA-ANFIS method is reliable to forecast the effective cycle of water injection, and which can help oil field developers to design the water injection scheme.
- Subjects
OIL field flooding; OIL wells; PRINCIPAL components analysis; FUZZY algorithms; PETROLEUM industry
- Publication
Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao, 2013, Vol 26, Issue 4, p532
- ISSN
1006-8341
- Publication type
Article