Optimization of Borehole Layout Strategy Considering 3D Stratigraphic Uncertainty
Publication: Geo-Risk 2023
ABSTRACT
Borehole drilling has been regarded as a traditional way of obtaining geological information in site investigation, while the borehole locations are difficult to be determined. Since increasing the number of boreholes requires additional expenditure, the optimization of borehole locations considering stratigraphic uncertainty has been crucial for sustainable development. In this study, a borehole planning strategy is proposed considering updated 3D stratigraphic uncertainty distribution, which is determined by a stratum-informed random field-based method, site division approach, and information entropy. Several sub-sites are generated based on the neighboring boreholes, enabling the site-specific uncertainty to be evaluated and compared. The optimized borehole location is the center of the sub-site presenting the highest average entropy. The effectiveness of the proposed strategy is verified through a three-layer geological model and compared with the traditional borehole planning strategy. The results have shown that the proposed strategy effectively decreases the information entropy and increases the accuracy.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Ashton, P., and Gidado, K. (2001). “Risk associated with inadequate site investigation procedures under design and build procurement systems.” Proc., In Proceedings of Association of Researchers in Construction Management (ARCOM) conference.
Gong, W., Zhao, C., Juang, C. H., Tang, H., Wang, H., and Hu, X. (2020). “Stratigraphic uncertainty modelling with random field approach.” Computers and Geotechnics, 125.
Li, J., Cai, Y., Li, X., and Zhang, L. (2019). “Simulating realistic geological stratigraphy using direction-dependent coupled Markov chain model.” Computers and Geotechnics, 115.
Li, Y. J., Hicks, M. A., and Vardon, P. J. (2016). “Uncertainty reduction and sampling efficiency in slope designs using 3D conditional random fields.” Computers and Geotechnics, 79, 159–172.
Li, Z., Wang, X., Wang, H., and Liang, R. Y. (2016). “Quantifying stratigraphic uncertainties by stochastic simulation techniques based on Markov random field.” Engineering Geology, 201, 106–122.
Mohan, V. K. D., Prezzi, M., and McCullouch, B. (2011). Analysis of Change Orders in Geotechnical Engineering Work at Indot.
Shi, C., and Wang, Y. (2021). “Smart determination of borehole number and locations for stability analysis of multi-layered slopes using multiple point statistics and information entropy.” Canadian Geotechnical Journal, 58(11), 1669–1689.
Wang, X., Li, Z., Wang, H., Rong, Q., and Liang, R. Y. (2016). “Probabilistic analysis of shield-driven tunnel in multiple strata considering stratigraphic uncertainty.” Structural Safety, 62, 88–100.
Wang, X., Wang, H., and Liang, R. Y. (2017). “A method for slope stability analysis considering subsurface stratigraphic uncertainty.” Landslides, 15(5), 925–936.
Wang, Y., and Li, P. (2021). “Data-driven determination of sample number and efficient sampling locations for geotechnical site investigation of a cross-section using Voronoi diagram and Bayesian compressive sampling.” Computers and Geotechnics, 130, 103898.
Wang, Y., Shi, C., and Li, X. (2021). “Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1–19.
Zhang, J. Z., Huang, H. W., Zhang, D. M., Phoon, K. K., Liu, Z. Q., and Tang, C. (2021). “Quantitative evaluation of geological uncertainty and its influence on tunnel structural performance using improved coupled Markov chain.” Acta Geotechnica, 16(11), 3709–3724.
Zhang, J. Z., Liu, Z. Q., Zhang, D. M., Huang, H. W., Phoon, K. K., and Xue, Y. D. (2022). “Improved coupled Markov chain method for simulating geological uncertainty.” Engineering Geology, 298.
Zhao, C., Gong, W., Li, T., Juang, C. H., Tang, H., and Wang, H. (2021). “Probabilistic characterization of subsurface stratigraphic configuration with modified random field approach.” Engineering Geology, 288.
Information & Authors
Information
Published In
Geo-Risk 2023
Pages: 86 - 93
History
Published online: Jul 20, 2023
ASCE Technical Topics:
- Boring
- Business management
- Construction engineering
- Construction methods
- Continuum mechanics
- Drilling
- Dynamics (solid mechanics)
- Engineering mechanics
- Entropy methods
- Geology
- Geotechnical engineering
- Geotechnical investigation
- Motion (dynamics)
- Practice and Profession
- Site investigation
- Solid mechanics
- Subsurface investigation
- Sustainable development
- Thermodynamics
- Uncertainty principles
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.