New method for estimating strike and dip based on structural expansion orientation for 3D geological modeling

2021 ◽  
Author(s):  
Yabo Zhao ◽  
Weihua Hua ◽  
Guoxiong Chen ◽  
Dong Liang ◽  
Zhipeng Liu ◽  
...  
Keyword(s):  
New Method ◽  
Geological Modeling ◽  
3D Geological Modeling

3D Geological Modeling-While-Drilling for Geosteering

2005 ◽  
Author(s):  
N.F. Najjar ◽  
T. Jerome ◽  
M. Alshammery
Keyword(s):  
Geological Modeling ◽  
3D Geological Modeling

A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China)

2021 ◽  
pp. 104754
Author(s):  
Ran Jia ◽  
Yikai Lv ◽  
Gongwen Wang ◽  
EmmanuelJohnM. Carranza ◽  
Yongqing Chen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Geological Modeling ◽  
3D Geological Modeling

scholarly journals Summary on Several Key Techniques in 3D Geological Modeling

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Gang Mei
Keyword(s):  
Mesh Generation ◽  
Spatial Interpolation ◽  
Three Dimensional ◽  
Geological Modeling ◽  
3D Geological Modeling ◽  
Surface Intersection ◽  
Key Techniques

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 role in 3D geological modeling. There are two essential procedures in 3D geological modeling: the first is the simulation of geological interfaces using geometric surfaces and the second is the building of geological objects by means of various geometric computations such as the intersection of surfaces. Discrete geometric surfaces that represent geological interfaces can be generated by creating planar meshes first and then spatially interpolating; those surfaces intersect and then form volumes that represent three-dimensional geological objects such as rock bodies. In this paper, the most commonly used algorithms of the key techniques in 3D geological modeling are summarized.

Study on System of Gravity Dams Aided Design

2011 ◽  
Vol 255-260 ◽  
pp. 3584-3588
Author(s):  
Zhi Yuan Hou ◽  
Bin Tian ◽  
Ze Yun Xiao
Keyword(s):  
Gravity Dam ◽  
Design System ◽  
Structure Modeling ◽  
Geological Modeling ◽  
Gravity Dams ◽  
Element Analysis ◽  
3D Finite Element ◽  
3D Geological Modeling ◽  
Aided Design ◽  
Analysis Stability

Since there are some characteristics such as correlation, repeatability and integrity during the gravity dam design process, an automatic gravity dam assistant design system was established by adopting C sharp programming language, Visual Studio Development Suite as well as material mechanics and Technology of Parametric Drawing. The System includes four modules: 3D geological modeling, gravity dam structure modeling, dam sections analysis and database management. These modules realized different specialty cooperation and offered many-side analysis such as: 3D finite element analysis, stability analysis, stress analysis, section optimization and report export.

Research on 3D Geological Modeling by Using GOCAD Software

2010 ◽  
Author(s):  
Li Yongcheng ◽  
Shen Naiqi ◽  
Li Biao ◽  
Yan Yan ◽  
Dong Mei
Keyword(s):  
Geological Modeling ◽  
3D Geological Modeling

Rapid 3D geological modeling to assess and visualize uncertainties in a web application

2021 ◽  
Author(s):  
Daniel Pflieger ◽  
Miguel de la Varga Hormazabal ◽  
Simon Virgo ◽  
Jan von Harten ◽  
Florian Wellmann
Keyword(s):  
Web Application ◽  
High Performance ◽  
Three Dimensional ◽  
Cloud Services ◽  
Management Approach ◽  
Geological Modeling ◽  
Web Browser ◽  
3D Geological Modeling ◽  
State Management ◽  
Wide Range

<p>Three dimensional modeling is a rapidly developing field in geological scientific and commercial applications. The combination of modeling and uncertainty analysis aides in understanding and quantitatively assessing complex subsurface structures. In recent years, many methods have been developed to facilitate this combined analysis, usually either through an extension of existing desktop applications or by making use of Jupyter notebooks as frontends. We evaluate here if modern web browser technology, linked to high-performance cloud services, can also be used for these types of analyses.</p><p>For this purpose, we developed a web application as proof-of-concept with the aim to visualize three dimensional geological models provided by a server. The implementation enables the modification of input parameters with assigned probability distributions. This step enables the generation of randomized realizations of models and the quantification and visualization of propagated uncertainties. The software is implemented using HTML Web Components on the client side and a Python server, providing a RESTful API to the open source geological modeling tool “GemPy”. Encapsulating the main components in custom elements, in combination with a minimalistic state management approach and a template parser, allows for high modularity. This enables rapid extendibility of the functionality of the components depending on the user’s needs and an easy integration into existing web platforms.</p><p>Our implementation shows that it is possible to extend and simplify modeling processes by creating an expandable web-based platform for probabilistic modeling, with the aim to increase the usability and to facilitate access to this functionality for a wide range of scientific analyses. The ability to compute models rapidly and with any given device in a web browser makes it flexible to use, and more accessible to a broader range of users.</p>

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