The Geological Characterization Process

Houlding, Simon W.

doi:10.1007/978-3-642-79012-6_2

Cited by 32 publications

(26 citation statements)

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“…In addition to these texts, content regarding the quantitative evaluation of mineral resources and the metallogenic prediction theory has been added to the current "Theory and Method of Mineral Exploration". This is how this course evolved [1,2,[5][6][7][8] (Figure 2). The course entitled Mineral Resources Exploration, as a course within the resources exploration engineering major in our college, is highly comprehensive, and it is the last professional course that students take within the exploration major in their college career.…”

Section: Development Status and Trend Of Mineral Exploration Sciencementioning

confidence: 97%

“…In addition to these texts, content regarding the quantitative evaluation of mineral resources and the metallogenic prediction theory has been added to the current "Theory and Method of Mineral Exploration". This is how this course evolved [1,2,[5][6][7][8] (Figure 2). Based on the history of the development of modern solid mineral exploration technology at home and abroad, and combined with the development strategy of mineral resources, the historical development and future trends of mineral exploration science can be summarized as follows:…”

Section: Development Status and Trend Of Mineral Exploration Sciencementioning

confidence: 97%

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Thoughts on Teaching Reform of Resources Majors in Colleges and Universities under the Background of Carbon Peak and Carbon Neutralization—Taking Mineral Resources Exploration Course as an Example

Zhang

Long

et al. 2022

Sustainability

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On 22 September 2020, General Secretary Xi made a solemn commitment to the international community at the general debate of the seventy-fifth session of the United Nations General Assembly to achieve carbon peak and carbon neutrality, and he announced specific goals at the Climate Ambition Summit. China is striving to achieve carbon peak by 2030 and carbon neutrality by 2060. At the same time, during the Fifth Plenary Session of the Nineteenth Central Committee of the CPC and the Central Economic Work Conference, specific arrangements for related goals have been made. During these two sessions in 2021, carbon peak and carbon neutralization were also mentioned in the government work report for the first time, which became the “hot words” discussed by the delegates and one of the key subjects of the 14th Five-Year Plan. Against the current backdrop of “double carbon”, reforms must urgently be made in the education and teaching of the resource major in colleges and universities to achieve the goal of carbon neutralization with high quality, promote discipline construction, and explore and implement the development model of “new engineering”. With regard to the resource exploration industry, mining, dressing and smelting will produce a large amount of carbon dioxide, solid waste and tailings, which can be neutralized by injecting solid waste or tailings reservoirs through green mine construction and carbon capture. On the one hand, the comprehensive utilization efficiency of mines can be improved in this way. On the other hand, a large amount of carbon can be stored underground, which is an important method of achieving the goal of carbon neutrality. In this study, we took the core course “Mineral Resources Exploration” from the resource exploration major as an example to think about and study the ways the education and teaching of resource majors could be reformed, such as exploration engineering under the guidance of the carbon neutrality target, which has certain guiding significance regarding the improvement of the training quality of resource major students.

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Section: Development Status and Trend Of Mineral Exploration Sciencementioning

confidence: 97%

“…In addition to these texts, content regarding the quantitative evaluation of mineral resources and the metallogenic prediction theory has been added to the current "Theory and Method of Mineral Exploration". This is how this course evolved [1,2,[5][6][7][8] (Figure 2). Based on the history of the development of modern solid mineral exploration technology at home and abroad, and combined with the development strategy of mineral resources, the historical development and future trends of mineral exploration science can be summarized as follows:…”

Section: Development Status and Trend Of Mineral Exploration Sciencementioning

confidence: 97%

Thoughts on Teaching Reform of Resources Majors in Colleges and Universities under the Background of Carbon Peak and Carbon Neutralization—Taking Mineral Resources Exploration Course as an Example

Zhang

Long

et al. 2022

Sustainability

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“…The concept of 3D geologic modeling was first proposed by Houlding (1994) in Canada and refers to the science and technology that combines information management and statistics, geologic interpretation, and spatial entity modeling in a 3D perspective to reproduce the tectonic environment of complex geologic bodies. Research on 3D geologic modeling techniques has focused on four main areas.…”

Section: Introductionmentioning

confidence: 99%

Research and application of urban 3D geologic modeling technology based on multivariate complex geologic structures——Take Chengdu as an example

Hao,

Zhang,

Zhan

et al. 2024

Preprint

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Three-dimensional (3D) geological models can visually present various underground geological body forms, geological structures, geological hazards, which is of great significance for urban spatial planning and urban geological hazard prevention and control. To overcome technical difficulties such as poor accuracy, poor aesthetics and the difficulty to modify and improve the model afterwards, the 3D model of urban geology under complex geological conditions was constructed. This paper proposes a 3D modeling technology for urban geology with multiple complex geological structures based on multi-source heterogeneous data with the common constraints of geological priori knowledge and geological laws. This technique can utilize various modeling data, such as DEM data, planimetric geological maps, comprehensive geological profiles, borehole data, geophysical interpretation data and tectonic outline maps. Under the common constraints of geological prior knowledge and geological laws, the block modeling technique is used to complete the construction of 3D urban geological models under complex geological conditions. Taking the construction of 3D geological model in Chengdu as an example, this paper focuses on the theory and algorithm of 3D modeling of urban geology, the geological background of the demonstration area, the preparation and pre-processing of 3D modeling data, and the research and demonstration application of 3D modeling technology for urban geology. The construction of a 3D geological model of Chengdu was completed using a 3D modeling technology of a multi-complex urban geological structure.

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“…Three-dimensional (3D) urban geological models are digital representations of subsurface strata and their associated features (Houlding, 1994). In recent years, the utilization of 3D geological models has expanded across various geological fields, such as mineral exploration (Zhang et al, 2021), geological storage (Thanh et al, 2019), groundwater resource estimation (Thibaut et al, 2021), geological disaster early warning generation (Høyer et al, 2019;Livani et al, 2022), and engineering geological condition evaluation (Chen et al, 2018;Guo et al, 2021;Lyu et al, 2021;Marzán et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

GeoPDNN 1.0: a semi-supervised deep learning neural network using pseudo-labels for three-dimensional shallow strata modelling and uncertainty analysis in urban areas from borehole data

Guo,

Xu,

Wang

et al. 2024

Geosci. Model Dev.

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Abstract. Borehole data are essential for conducting precise urban geological surveys and large-scale geological investigations. Traditionally, explicit modelling and implicit modelling have been the primary methods for visualizing borehole data and constructing 3D geological models. However, explicit modelling requires substantial manual labour, while implicit modelling faces problems related to uncertainty analysis. Recently, machine learning approaches have emerged as effective solutions for addressing these issues in 3D geological modelling. Nevertheless, the use of machine learning methods for constructing 3D geological models is often limited by insufficient training data. In this paper, we propose the semi-supervised deep learning using pseudo-labels (SDLP) algorithm to overcome the issue of insufficient training data. Specifically, we construct the pseudo-labels in the training dataset using the triangular irregular network (TIN) method. A 3D geological model is constructed using borehole data obtained from a real building engineering project in Shenyang, Liaoning Province, NE China. Then, we compare the results of the 3D geological model constructed based on SDLP with those constructed by a support vector machine (SVM) method and an implicit Hermite radial basis function (HRBF) modelling method. Compared to the 3D geological models constructed using the HRBF algorithm and the SVM algorithm, the 3D geological model constructed based on the SDLP algorithm better conforms to the sedimentation patterns of the region. The findings demonstrate that our proposed method effectively resolves the issues of insufficient training data when using machine learning methods and the inability to perform uncertainty analysis when using the implicit method. In conclusion, the semi-supervised deep learning method with pseudo-labelling proposed in this paper provides a solution for 3D geological modelling in engineering project areas with borehole data.

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The Geological Characterization Process

Cited by 32 publications

References 1 publication

Thoughts on Teaching Reform of Resources Majors in Colleges and Universities under the Background of Carbon Peak and Carbon Neutralization—Taking Mineral Resources Exploration Course as an Example

Thoughts on Teaching Reform of Resources Majors in Colleges and Universities under the Background of Carbon Peak and Carbon Neutralization—Taking Mineral Resources Exploration Course as an Example

Research and application of urban 3D geologic modeling technology based on multivariate complex geologic structures——Take Chengdu as an example

GeoPDNN 1.0: a semi-supervised deep learning neural network using pseudo-labels for three-dimensional shallow strata modelling and uncertainty analysis in urban areas from borehole data

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