This study proposes a methodology for characterization of subsurface heterogeneity using a hybrid approach. The hybrid approach will incorporate soft geological information in addition to the available hard data to characterise geological heterogeneity under two scales of variability. The geometric shapes of the geological features are modelled stochastically based on soft information using the Coupled Markov Model developed by Elfeki et al. (1995), while hard data are used to model the variability inside these geometric shapes. This will lead to an improved characterization of the subsurface heterogeneity. The proposed hybrid model can be used to generate realizations of conductivity within the geological structure, with al} realizations satisfying the "soft" geological knowledge and "hard" data.
ElFeki, A. (2021). A Hybrid Stochastic Model for Characterization of Subsurface Heterogeneity.. MEJ- Mansoura Engineering Journal, 22(3), 34-44. doi: 10.21608/bfemu.2021.150712
MLA
Amr Mohamed Mahmoud ElFeki. "A Hybrid Stochastic Model for Characterization of Subsurface Heterogeneity.". MEJ- Mansoura Engineering Journal, 22, 3, 2021, 34-44. doi: 10.21608/bfemu.2021.150712
HARVARD
ElFeki, A. (2021). 'A Hybrid Stochastic Model for Characterization of Subsurface Heterogeneity.', MEJ- Mansoura Engineering Journal, 22(3), pp. 34-44. doi: 10.21608/bfemu.2021.150712
VANCOUVER
ElFeki, A. A Hybrid Stochastic Model for Characterization of Subsurface Heterogeneity.. MEJ- Mansoura Engineering Journal, 2021; 22(3): 34-44. doi: 10.21608/bfemu.2021.150712
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