Page 167 - Intelligent Digital Oil And Gas Fields

128 Intelligent Digital Oil and Gas Fields

hierarchical their to gray. in

(B) clusters; proportional is cluster fuzzy with
K-means clusters in principal component space, with fuzzy cluster 2 0 Principal component 1 distinctive four in organized realizations model between space, component (E) Scatterplot matrix: selected predictor variables for horizontal

(C) 5 The clusters
2 1 0 −2 (D) realizations distance principal in
−1 −2 17
Principal component 2
15 22 29 10 32 model
Model_2 Model_16 dendrogram. k-means
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