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- W54797533 abstract "Since the oilfield water development system is complex and there are numerous characterization indices, it is quite necessary to simplify the index system. This paper deals with the similarity analysis problem of oilfield development indices. At first, from the perspective of time series, 11 numerical characteristics of historical data of oilfield development indices are found, including statistical features, trend features, autocorrelation and partial autocorrelation coefficient, nonlinear features and spectral characteristics. Then based on these numerical characteristics, a new algorithm is proposed to make similarity analysis for oilfield development indices by fuzzy c-means clustering. In the end, a practical example is given, successfully solved, and the computational results are presented." @default.
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- W54797533 date "2012-01-01" @default.
- W54797533 modified "2023-10-16" @default.
- W54797533 title "Similarity Analysis of Oilfield Development Indices by Fuzzy C-Means Clustering" @default.
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- W54797533 doi "https://doi.org/10.1007/978-3-642-28592-9_41" @default.
- W54797533 hasPublicationYear "2012" @default.
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