Stratigraphic Uncertainty Reduction Considering the Location of Additional Boreholes
Publication: Geo-Risk 2023
ABSTRACT
Generally, the number of boreholes drilled in a project is constrained by the field investigative budget. How to select additional boreholes to increase the reliability of the deduced stratigraphic profile, or to reduce the uncertainty of the deduced stratigraphic profile, is an essential issue. This paper utilizes the stochastic Markov random field (MRF) to study the effect of added boreholes in a synthetic stratigraphic model. The information entropy is employed to quantify the stratigraphic model uncertainty. First, the parametric studies of borehole locations and MRF parameter were conducted. Then, the accuracy of MRF simulation was assessed by comparing the MRF-generated stratigraphic model with the synthetic stratigraphic model. The results show that (1) the average information entropy may be expressed as a quadratic function of the location of an additional borehole; and (2) the average information entropy decreases with the increase in stratigraphic anisotropic ratio and vice versa. Furthermore, the correlations among additional borehole location, stratigraphic anisotropic ratio, and average information entropy were obtained using multivariate regression analysis.
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Published In
Geo-Risk 2023
Pages: 214 - 227
History
Published online: Jul 20, 2023
ASCE Technical Topics:
- Boring
- Construction engineering
- Construction methods
- Continuum mechanics
- Drilling
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Entropy methods
- Field tests
- Geology
- Geotechnical engineering
- Mathematics
- Model accuracy
- Models (by type)
- Motion (dynamics)
- Parameters (statistics)
- Simulation models
- Solid mechanics
- Statistics
- Tests (by type)
- Thermodynamics
- Uncertainty principles
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