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their
hierarchical
to
proportional
(B)
clusters;
K-means clusters in principal component space, with fuzzy cluster
is
realizations
distinctive
model
four
in
between
organized
distance
realizations
(D)
2
1
0
17
The
5
15 22 29 10 32
dendrogram.
model
Model_2 −1 Principal component 2 Model_16 −2 2 0 −2 Principal component 1 (C) Intelligent Digital Oil and Gas Fields gray. in cluster fuzzy with space, component principal in clusters k-means (E) Scatterplot matrix: selected predictor variables for horizontal
26 3
7
31 simulation
8 14 28 23 of with clustering:
Model_27
Model_6
Model_15 Model_22 Model_29 Model_10 Model_32 Model_5 Model_17 Model_11 Model_20 Model_24 9 33 25 18 1 Models structure hierarchy K-means
Model_30
4 13 model (C)
Model_12
Model_3
Model_26 hierarchical (D) Voronoi diagram: spatial separation of the status of producing reservoirs.
Model_7 Model_25 Model_4 Model_19 Model_21 27 24 30 12 21 19 response.
Model_31 Model_33 Model_13 simulation and
Model_8 Model_18 Model_1 6 plot: model
Model_23 Model_9 16 11 20 of
Model_28 Model_14 2 of optimization;
(A) 40 35 30 25 20 15 10 Distance between models (a.u.) 5 (B) Constellation representation terms
(A) in production
4.10 clustering: dissimilarity
Fig. well