A parametric 3D geological modeling method considering stratigraphic interface topology optimization and coding expert knowledge
M Lyu, B Ren, B Wu, D Tong, S Ge, S Han - Engineering Geology, 2021 - Elsevier
Parametric 3D geological modeling facilitates the efficient updating of geological models. A
comprehensive review of existing geological modeling methods reveals that two critical …
comprehensive review of existing geological modeling methods reveals that two critical …
[HTML][HTML] 面向地质大数据的结构-属性一体化三维地质建模技术现状与展望
陈麒玉， 刘刚， 何珍文， 张夏林， 吴冲龙 - 地质科技通报, 2020 - dzkjqb.cug.edu.cn
开展三维地质建模的目标, 不应当只是实现地质体框架的可视化表达, 而应当同时实现地质大
数据的聚合, 管理, 挖掘, 分析和共享. 然而, 传统的方法和技术难以实现顾及地质语义的结构 …
数据的聚合, 管理, 挖掘, 分析和共享. 然而, 传统的方法和技术难以实现顾及地质语义的结构 …
Automatic reconstruction method of 3D geological models based on deep convolutional generative adversarial networks
How to reconstruct a credible three-dimensional (3D) geological model from very limited
survey data, eg boreholes, outcrop, and two-dimensional (2D) images, is challenging in the …
survey data, eg boreholes, outcrop, and two-dimensional (2D) images, is challenging in the …
[HTML][HTML] Multi-source data integration and multi-scale modeling framework for progressive prediction of complex geological interfaces in tunneling
A reliable geological model plays a fundamental role in the efficiency and safety of mountain
tunnel construction. However, regional models based on limited survey data represent …
tunnel construction. However, regional models based on limited survey data represent …
Three-dimensional geotechnical-layer mapping in Seoul using borehole database and deep neural network-based model
Despite the increase in demand for three-dimensional (3D) subsurface geology maps, the
attainment of reliable geotechnical characterization of specific regions and development of …
attainment of reliable geotechnical characterization of specific regions and development of …
Deep convolutional generative adversarial networks for modeling complex hydrological structures in Monte-Carlo simulation
Abstract Characterization of complex subsurface structures is challenging due to the
demand to preserve geological realism of the training images in earth and environmental …
demand to preserve geological realism of the training images in earth and environmental …
Multiple-point geostatistics-based three-dimensional automatic geological modeling and uncertainty analysis for borehole data
J Guo, Z Wang, C Li, F Li, MW Jessell, L Wu… - Natural Resources …, 2022 - Springer
The three-dimensional characterization of geological structures is important for determining
the distribution of subsurface mineral resources. However, geological structures and …
the distribution of subsurface mineral resources. However, geological structures and …
3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: A case study in Minjiang Estuary area, southeast China
Multiple-point statistics (MPS) has shown promise in representing complicated subsurface
structures, such as the sedimentary system. The Quaternary sedimentary system possesses …
structures, such as the sedimentary system. The Quaternary sedimentary system possesses …
Calculation of tensorial flow properties on pore level: Exploring the influence of boundary conditions on the permeability of three-dimensional stochastic …
While it is well known that permeability is a tensorial property, it is usually reported as a
scalar property or only diagonal values are reported. However, experimental evaluation of …
scalar property or only diagonal values are reported. However, experimental evaluation of …
Characterization of subsurface hydrogeological structures with convolutional conditional neural processes on limited training data
One of the main issues in the application of statistical‐learning‐based methods to the
characterization of hydrological phenomena is the complex parameterization of the high …
characterization of hydrological phenomena is the complex parameterization of the high …