Fig 1.
The workflow of the proposed method.
Table 1.
Model parameters.
Fig 2.
Model data example: (a) geological model and (b) synthetic seismic data.
Fig 3.
Seismic attributes of model data: (a) sweetness, (b) instantaneous amplitude, (c) structure tensor, (d) total energy, (e) gradient magnitude, (f) relative impedance, (g) instantaneous frequency, (h) instantaneous phase.
Fig 4.
The confusion matrix of sensitive seismic attributes: (a) sweetness, (b) instantaneous amplitude and (c) structure tensor.
Where tag 1 denotes cave reservoir, tag 2 denotes non-reservoir.
Fig 5.
The iterations of GA.
Fig 6.
(a) PCA and (b) GA-KPCA.
Fig 7.
(a) PCA and (b) GA-KPCA.
Table 2.
Sensitivity analysis of characterization accuracy and convergence under different fusion thresholds.
Fig 8.
Field seismic data, the dashed black line denotes well trajectory.
Fig 9.
Sensitive seismic attributes of field data: (a) sweetness, (b) instantaneous amplitude, (c) structure tensor and (d) total energy.
Fig 10.
The iterations of GA for field data.
Fig 11.
The fusion result of field data:
(a) PCA and (b) GA-KPCA.