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Geological feature driven 3D geological modeling [PDF]

Shenzhen Daxue xuebao. Ligong ban, 2022
In 3D geological modeling, it is generally difficult to effectively integrate geometric data and attribute data due to their different characteristics.
XU Guo, WANG Changhai, ZHOU Xiaoqin
doaj   +3 more sources

Summary on Several Key Techniques in 3D Geological Modeling [PDF]

The Scientific World Journal, 2014
Several key techniques in 3D geological modeling including planar mesh generation, spatial interpolation, and surface intersection are summarized in this paper. Note that these techniques are generic and widely used in various applications but play a key
Gang Mei
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Urban Geological 3D Modeling Based on Papery Borehole Log [PDF]

ISPRS International Journal of Geo-Information, 2020
Borehole log is important data for urban geological 3D modeling. Most of the current borehole logs are stored in a papery form. The construction of a smart city puts forward requirements for the automatic and intelligent 3D modeling of urban geology ...
Xinyu Zhang, Junqiang Zhang, Yiping Tian, Zhilong Li, Yi Zhang, Lirui Xu, Song Wang   +6 more
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Progressive Geological Modeling and Uncertainty Analysis Using Machine Learning [PDF]

ISPRS International Journal of Geo-Information, 2023
Three-dimensional geological modeling is a process of interpreting geological features from limited sample data and making predictions, which can be converted into a classification task for grid units in the geological space.
Hong Li, Bo Wan, Deping Chu, Run Wang, Guoxi Ma, Jinming Fu, Zhuocheng Xiao   +6 more
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Implicit 3D geological modeling method based on expert knowledge constraints: A case study from the Songshugang Mining District, Hengfeng County, Jiangxi Province, China. [PDF]

PLoS ONE
Implicit 3D geological modeling offers advantages in rapid model construction; however, purely data-driven approaches have limitations in modeling accuracy and often fail to represent complex geological structures faithfully.
Wenlong Jin, Zhichun Wu, Zhe Xu, Hongda Li, Bin Li, Fusheng Guo, Zhiqiang Zhang, Fenling Ma, Hualiang Li, Peng Lu   +9 more
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Depths Inferred from Velocities Estimated by Remote Sensing: A Flow Resistance Equation-Based Approach to Mapping Multiple River Attributes at the Reach Scale

Remote Sensing, 2021
Remote sensing of flow conditions in stream channels could facilitate hydrologic data collection, particularly in large, inaccessible rivers. Previous research has demonstrated the potential to estimate flow velocities in sediment-laden rivers via ...
Carl Legleiter, Paul Kinzel
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Clues to seismic data interpretation within the zones of the sand injections in so called "anomalous section" of the Bazhenovo Black Shales formation on the examples of the Potochnaya, Sporyshevskaya, Vyintoiskaya and Vatinskaya zones

Russian Journal of Earth Sciences, 2023
The Bazhenovo horizon of Western Siberia has traditionally been one of the objects most studied by geologists and geophysicists in recent decades in Russia.
Gatina Nadezhda, Sarieva Marina, Mukhutdinova Oksana, Popkov Andrey, Gavrilov Sergey   +4 more
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Inferring Surface Flow Velocities in Sediment-Laden Alaskan Rivers from Optical Image Sequences Acquired from a Helicopter

Remote Sensing, 2020
The remote, inaccessible location of many rivers in Alaska creates a compelling need for remote sensing approaches to streamflow monitoring. Motivated by this objective, we evaluated the potential to infer flow velocities from optical image sequences ...
Carl J. Legleiter, Paul J. Kinzel
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3D geological modelling based on 2D geological map [PDF]

Annals of GIS, 2017
ABSTRACTCurrent methods for constructing a 3D geological model of an area require field drilling or measured section data which are often not available over large areas. 2D geological maps not only contain information on the distribution of geological strata but also provide sufficient geometric, topological and semantic information for 3D geological ...
Bingxian Lin, Liangchen Zhou, Guonian Lv, A-Xing Zhu   +3 more
openaire   +1 more source

GreenhousePeat: a model linking CO₂ emissions from subsiding peatlands to changing groundwater levels [PDF]

Proceedings of the International Association of Hydrological Sciences, 2020
Oxidation of organic matter in peat above the phreatic groundwater table causes subsidence and carbon dioxide (CO2) emissions. Because 25 % of the Netherlands has shallow peat layers in its subsurface, it is essential for Dutch policy makers and ...
K. Koster, A. Frumau, J. Stafleu, J. Dijkstra, A. Hensen, I. Velzeboer, J. Esteves Martins, W. J. Zaadnoordijk   +7 more
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