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An ultrasound B-mode scan of the liver was obtained with Vevo 2100 using the MS-250 24MHz hfUS probe.
To estimate core-derived HFUs from 3D seismic attributes, which is the main objective of this study, the FZI data are calculated for 4 cored wells in one of the Persian Gulf hydrocarbon fields using the available porosity and permeability data.
The results of a multi-regression analysis for predicting HFUs are shown in Table 2.
Design of a probabilistic neural network for the estimation of HFUs
Finally, using the PNN constructed for this research, the 3D seismic data of the studied reservoir are converted to HFUs. Seismic sections showing the distribution of the PNN estimated HFUs for testing data are shown in Fig.
Caption: Figure 9: HFU identification with the improved method proposed by Mirzaei-Paiaman et al..
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