Residential College | false |
Status | 已發表Published |
An Uncertainty-driven Peak-integration (UP) Strategy for 3D Borehole Layout Planning | |
Yan, Wei1,2; Zhou, Wan Huan1,2; Shen, Ping1 | |
2023-02-06 | |
Source Publication | COMPUTERS AND GEOTECHNICS |
ISSN | 0266-352X |
Volume | 156Pages:105280 |
Abstract | Equal-spaced borehole drilling is commonly adopted in practice for site investigation, which ignores spatial uncertainty and might result in insufficient site characterization. Model-driven precise drilling is regarded as a potential solution. In this study, an uncertainty-driven peak-integration (UP) strategy is proposed to improve decision-making in 3D borehole planning. The UP strategy consists of stratigraphic uncertainty modelling and peak-integration method. The random field-based uncertainty modelling approach has been improved by employing stratum-informed Scales of Fluctuation and a novel site division method to capture the site-specific uncertainty distribution with sufficient interpretation. The peak-integration method is proposed to consider the uncertainty around peaks, as improvement of existing peak uncertainty-based borehole planning strategy. To provide an objective evaluation for borehole layout planning, a new index “Contribution of Borehole” (CoB) is proposed for the first time, using the Earth Mover's Distance, to quantify the net changes of stratigraphic distribution revealed by additional boreholes and offer validation for every decision-making. The feasibility and practicability of the proposed strategy are demonstrated by applying to an artificial geological model created based on real borehole data. The superiority of the proposed strategy is elucidated by comparing with equal-spaced strategy, via both CoB and conventional entropy reduction with detailed discussion. |
Keyword | Stratigraphic Uncertainty 3d Borehole Planning Contribution Of Borehole Peak-integration |
DOI | 10.1016/j.compgeo.2023.105280 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering ; Geology |
WOS Subject | Computer Science, Interdisciplinary Applications ; Engineering, Geological ; Geosciences, Multidisciplinary |
WOS ID | WOS:000933513700001 |
Publisher | ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND |
Scopus ID | 2-s2.0-85147684471 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING |
Corresponding Author | Shen, Ping |
Affiliation | 1.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao SAR, People’s Republic of China 2.Zhuhai UM Science & Technology Research Institute, Zhuhai, Guangdong, China |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Yan, Wei,Zhou, Wan Huan,Shen, Ping. An Uncertainty-driven Peak-integration (UP) Strategy for 3D Borehole Layout Planning[J]. COMPUTERS AND GEOTECHNICS, 2023, 156, 105280. |
APA | Yan, Wei., Zhou, Wan Huan., & Shen, Ping (2023). An Uncertainty-driven Peak-integration (UP) Strategy for 3D Borehole Layout Planning. COMPUTERS AND GEOTECHNICS, 156, 105280. |
MLA | Yan, Wei,et al."An Uncertainty-driven Peak-integration (UP) Strategy for 3D Borehole Layout Planning".COMPUTERS AND GEOTECHNICS 156(2023):105280. |
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