A Hybrid Stochastic Model for Characterization of Subsurface Heterogeneity. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 2, Volume 22, Issue 3, September 1997, Page 34-44 PDF (150.53 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2021.150712 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Amr Mohamed Mahmoud ElFeki* | ||||
| Irrigation and Hydraulics Engineering Department., Faculty of Engineering., El-Mansoura University., El-Mansoura., Egypt. | ||||
| Abstract | ||||
| 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. | ||||
|
Statistics Article View: 65 PDF Download: 133 |
||||
