High-resolution 3D spatial modelling of complex geological structures for an environmental risk assessment of abundant mining and industrial megasites

Wycisk, Peter; Hübert, Thomas; Goßel, Wolfgang; Neumann, Ch.

doi:10.1016/j.cageo.2007.09.001

Cited by 100 publications

(36 citation statements)

References 6 publications

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“…Since real-world problems show a high complexity, it is necessary for various disciplines to cooperate in order to achieve a proper description of different aspects of a model (Wycisk et al, 2009;Refsgaard et al, 2012;Sharpe et al, 2002). However, the various scientific disciplines use varying types of models to investigate diverse scientific questions (Laniak et al, 2013).…”

Section: Problem Description and Motivationmentioning

confidence: 99%

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

et al. 2015

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Abstract. We offer a versatile workflow to convert geological models built with the Paradigm ™ GOCAD © (Geological Object Computer Aided Design) software into the opensource VTU (Visualization Toolkit unstructured grid) format for usage in numerical simulation models. Tackling relevant scientific questions or engineering tasks often involves multidisciplinary approaches. Conversion workflows are needed as a way of communication between the diverse tools of the various disciplines. Our approach offers an open-source, platform-independent, robust, and comprehensible method that is potentially useful for a multitude of environmental studies. With two application examples in the Thuringian Syncline, we show how a heterogeneous geological GO-CAD model including multiple layers and faults can be used for numerical groundwater flow modeling, in our case employing the OpenGeoSys open-source numerical toolbox for groundwater flow simulations. The presented workflow offers the chance to incorporate increasingly detailed data, utilizing the growing availability of computational power to simulate numerical models.

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Section: Problem Description and Motivationmentioning

confidence: 99%

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

et al. 2015

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“…In other cases, 3D geological models have been used in the context of the delineation and remediation of contaminants, and the exploration and extraction of aggregate and mineral resources (Houlding 2000). The overall aim of these models is to characterize the nature and distribution of subsurface materials, which typically necessitate modelling near-surface glacial deposits, to constrain the modelling of the groundwater flow system, contaminant migration pathways, transport rate of contaminants, and risk to receptors, or to optimize natural resource extraction (Wycisk et al 2009;Babak et al 2014;Dunkle et al 2016). Accurately characterizing glacial deposits can be particularly difficult, as subsurface stratigraphy in glacial settings typically have short length scales, abrupt facies transitions, and erosionally truncated relationships as a result of the dynamic nature of these depositional environments and multiple and spatially variable erosional and depositional events associated with repeated ice advances and retreats.…”

Section: Introductionmentioning

confidence: 99%

Using a multiple variogram approach to improve the accuracy of subsurface geological models

2018

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Subsurface geological models are often used to visualize and analyze the nature, geometry, and variability of geologic and hydrogeologic units in the context of groundwater resource studies. The development of three-dimensional (3D) subsurface geological models covering increasingly larger model domains has steadily increased in recent years, in step with the rapid development of computing technology and software, and the increasing need to understand and manage groundwater resources at the regional scale. The models are then used by decision makers to guide activities and policies related to source water protection, well field development, and industrial or agricultural water use. It is important to ensure that the modelling techniques and procedures are able to accurately delineate and characterize the heterogeneity of the various geological environments included within the regional model domain. The purpose of this study is to examine if 3D stratigraphic models covering complex Quaternary deposits can be improved by splitting the regional model into multiple submodels based on the degree of variability observed between surrounding data points and informed by expert geological knowledge of the geologicaldepositional framework. This is demonstrated using subsurface data from the Paris Moraine area near Guelph in southern Ontario. The variogram models produced for each submodel region were able to better characterize the data variability, resulting in a more geologically realistic interpolation of the entire model domain as demonstrated by the comparison of the model output with preexisting maps of surficial geology and bedrock topography as well as depositional models for these complex glacial environments. Importantly, comparison between model outputs reveals significant differences in the resulting subsurface stratigraphy, complexity, and variability, which would in turn impact groundwater flow model predictions.Résumé : Des modèles de géologie de subsurface sont souvent utilisés pour visualiser et analyser la nature, la géométrie et la variabilité d'unités géologiques et hydrogéologiques dans le contexte d'études sur les ressources d'eau souterraine. Le dével-oppement de modèles géologiques de subsurface en trois dimensions (3D) couvrant des domaines modélisés de plus en plus grands s'est accéléré ces dernières années, parallèlement à l'essor rapide de la technologie informatique et des logiciels et au besoin accru de comprendre et de gérer les ressources d'eau souterraine à l'échelle régionale. Les modèles sont ensuite utilisés par les décideurs pour orienter les activités et politiques touchant à la protection des sources d'eau, la mise en valeur de champs de captage et l'utilisation industrielle ou agricole de l'eau. Il importe de s'assurer que les techniques et procédures de modéli-sation puissent délimiter et caractériser de manière exacte l'hétérogénéité des divers milieux géologiques contenus dans le domaine régional modélisé. Le but de l'étude est d'évaluer si les modèles stratigraphiques 3...

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“…This paper is mostly based on our experience of teaching 3D structural modeling with the Gocad® geomodeling software; however, most general rules provided here should be applicable to other software platforms. Additional insight on surface-based 3D structural modeling methods is also available from de Kemp and Sprague (2003), Dhont et al (2005), Fernández et al (2004), Gjøystdal et al (1985), Groshong (2006), Kaufman and Martin (2008), Lemon and Jones (2003), Mallet (1997Mallet ( , 2002, Sprague and de Kemp (2005), Turner (1992), Wycisk et al (2009), Wu et al (2005, Zanchi et al (2009). After a rapid overview of the typical data available in a 3D modeling project (Sect.…”

Section: Introductionmentioning

confidence: 99%

Surface-Based 3D Modeling of Geological Structures

et al. 2009

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Building a 3D geological model from field and subsurface data is a typical task in geological studies involving natural resource evaluation and hazard assessment. However, there is quite often a gap between research papers presenting case studies or specific innovations in 3D modeling and the objectives of a typical class in 3D structural modeling, as more and more is implemented at universities. In this paper, we present general procedures and guidelines to effectively build a structural model made of faults and horizons from typical sparse data. Then we describe a typical 3D structural modeling workflow based on triangulated surfaces. Our goal is not to replace software user guides, but to provide key concepts, principles, and procedures to be applied during geomodeling tasks, with a specific focus on quality control. Electronic supplementary materialThe online version of this article (http://dx

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High-resolution 3D spatial modelling of complex geological structures for an environmental risk assessment of abundant mining and industrial megasites

Cited by 100 publications

References 6 publications

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

Using a multiple variogram approach to improve the accuracy of subsurface geological models

Surface-Based 3D Modeling of Geological Structures

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