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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 PublicationCOMPUTERS AND GEOTECHNICS
ISSN0266-352X
Volume156Pages: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.

KeywordStratigraphic Uncertainty 3d Borehole Planning Contribution Of Borehole Peak-integration
DOI10.1016/j.compgeo.2023.105280
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering ; Geology
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Geological ; Geosciences, Multidisciplinary
WOS IDWOS:000933513700001
PublisherELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Scopus ID2-s2.0-85147684471
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Corresponding AuthorShen, Ping
Affiliation1.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 AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity 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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