Neural spline flow multi-constraint NURBS method for three-dimensional automatic geological modeling with multiple constraints

Lyu, Mingming; Ren, Bingyu; Wang, Xiaoling; Wang, Jiajun; Yu, Jia; Han, Shuyang

doi:10.1007/s10596-023-10202-9

Cited by 2 publications

(1 citation statement)

References 49 publications

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“…This involves abstracting the structural and geomorphological elements into a unified framework, constructing spatial structural and geomorphological objects manifested by structural phenomena, such as folds, faults, and rock masses formed by tectonics [46]. The relationships between various elements in structural geomorphology are mainly explored through spatial relationships between geological phenomena, such as folds, faults, and strata, as well as the tectonic deformation and geomorphic parameters (surface relief) of folds and faults [47,48]. Quantitatively delineating the relationships between structural and geomorphic elements and establishing spatial correlations between these aspects using GIS topological frameworks is important.…”

Section: Introductionmentioning

confidence: 99%

GIS Approach for Expressing Structural Landforms: Forms, Elements, and Relationships

Liu,

Lu,

Meng

et al. 2023

Applied Sciences

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A structural landform is defined by its surface morphology, controlled by tectonics, lithology (arrangement and resistance), and folded structures, and demonstrated by the characteristics and relationships between geological and geomorphic elements. It is very important to use geographic information system (GIS) technology to accurately describe and express elements of structural landforms and their relationships. In this study, a GIS approach for expressing structural landforms, based on “forms–elements–relationships”, was developed. The contributions of this paper are as follows: (1) Combined with the surface morphological characteristics, the structural landforms were abstracted into geological and geomorphic elements, and the characteristics and relationships of these elements were analyzed. (2) The elements of structural landforms and their relationships were abstracted into spatial objects and topological relationships. The spatial objects of the structural landform were designed based on the types and characteristics of structural landform elements. The topological relationships were developed based on the definition of the structural landform morphotype. (3) The structural landform markup language (SLML) method of “forms–elements–relationships” was created. (4) Two typical structural landforms, namely, Qixia Mountain and Gaoli Mountain, were used as examples to verify the feasibility and effectiveness of the GIS approach for expressing structural landforms. This paper describes and expresses the “forms–elements–relationships” of structural landforms from the perspective of GIS, which is expected to promote the joint development of structural geomorphology and GIS.

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Section: Introductionmentioning

confidence: 99%

GIS Approach for Expressing Structural Landforms: Forms, Elements, and Relationships

Liu,

Lu,

Meng

et al. 2023

Applied Sciences

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Three-Dimensional Geological Modelling in Earth Science Research: An In-Depth Review and Perspective Analysis

Cao,

Liu,

et al. 2024

Minerals

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This study examines the development trajectory and current trends of three-dimensional (3D) geological modelling. In recent years, due to the rising global energy demand and the increasing frequency of regional geological disasters, significant progress has been made in this field. The purpose of this study is to clarify the potential complexity of 3D geological modelling, identify persistent challenges, and propose potential avenues for improvement. The main objectives include simplifying the modelling process, improving model accuracy, integrating different data sources, and quantitatively evaluating model parameters. This study integrates global research in this field, focusing on the latest breakthroughs and applications in mineral exploration, engineering geology, geological disaster assessment, and military geosciences. For example, unmanned aerial vehicle (UAV) tilt photography technology, multisource data fusion, 3D geological modelling method based on machine learning, etc. By identifying areas for improvement and making recommendations, this work aims to provide valuable insights to guide the future development of geological modelling toward a more comprehensive and accurate “Transparent Earth”. This review underscores the global applications of 3D geological modelling, highlighting its crucial role across various sectors such as mineral exploration, the oil and gas industry, urban planning, geological hazard assessment, and geoscientific research. The review emphasizes the sector-specific importance of this technology in enhancing modelling accuracy and efficiency, optimizing resource management, driving technological innovation, and improving disaster response capabilities. These insights provide a comprehensive understanding of how 3D geological modelling can significantly impact and benefit multiple industries worldwide.

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Neural spline flow multi-constraint NURBS method for three-dimensional automatic geological modeling with multiple constraints

Cited by 2 publications

References 49 publications

GIS Approach for Expressing Structural Landforms: Forms, Elements, and Relationships

GIS Approach for Expressing Structural Landforms: Forms, Elements, and Relationships

Three-Dimensional Geological Modelling in Earth Science Research: An In-Depth Review and Perspective Analysis

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