Challenges and trends for geological modelling and visualisation

Turner, A. Keith

doi:10.1007/s10064-005-0015-0

Cited by 144 publications

(79 citation statements)

References 15 publications

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“…This must be done in space (vertical and lateral), at different scales (from atom to the deposit), in 3D and in real time. However, to be of good quality, this processing has to stay semi-automatic; i.e., calculations should be ran only after an appropriate setting of parameters, by applying context and scientific judgment and experience [11]. The results will constitute the processed data subsystem: the information base.…”

Section: Expected Results Of the Systemic Approachmentioning

confidence: 99%

“…The system will have to take into account both genetic and mining interpretations, and to manage the multiplicity of interpretations and models, not only explicit ones, but also a large amount of implicit ones, as defined by Nickols [12] and advised by Howard, et al [8]. This will, then, constitute the subsystem of knowledge: the knowledge base [11].…”

Section: Expected Results Of the Systemic Approachmentioning

confidence: 99%

“…Qualitative interpretation and interpolation issued from geological human knowledge (tacit and implicit expertise) remains necessary to improve the quality, the precision and the accuracy of the ultimate result [11].…”

Section: N Azzouzimentioning

confidence: 99%

See 2 more Smart Citations

A Systemic Approach Integrating Genetic, Mining and Management Visions: The Geologic and Mining Knowledge System

Azzouzi¹

2017

JGIS

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Following the example of other industrial activities, mining evaluation is now exposed to socio-economical and technological constraints which are unstable in quick evolution. The keys to its success are increasingly related to a methodology of work more scientific than ever. The Systemic Approach has broadly showed its effectiveness in numerous disciplinary fields, both scientific and engineering ones: Biology, Economy, Social and Management Sciences, Quality Management, Information Systems… Helped by technological progress, this approach has especially excelled in the management of spatial information (e.g. GIS). It constitutes therefore an excellent solution to the problems of mining evaluation by the integration of genetic, mining and managerial data within an Information System, thus optimizing scientific and economic valuation of mineral resources.

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Section: Expected Results Of the Systemic Approachmentioning

confidence: 99%

Section: Expected Results Of the Systemic Approachmentioning

confidence: 99%

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A Systemic Approach Integrating Genetic, Mining and Management Visions: The Geologic and Mining Knowledge System

Azzouzi¹

2017

JGIS

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“…3D gridding tools can form a seamless step in an information flow of geological knowledge from 3D models into linked environmental models if they incorporate the capture of metadata and dependencies to support communication and feedback loops between disciplines ( Figure 11). Improving intersystem links and feedback loops in this way would encourage a more iterative transfer of information between geological and process models as proposed by DAgnese et al (1997) and others (Agada et al, 2014;Turner, 2006;Smith et al, 2012). v.…”

Section: Remaining Challengesmentioning

confidence: 99%

Improving geological and process model integration through TIN to 3D grid conversion

Watson

Richardson

Wood

et al. 2015

Computers & Geosciences

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The ability to extract properties from 3D geological framework models for use in the construction of conceptual and mathematical models is seen as increasingly important, however, tools and techniques are needed to support such information flows. Developing such methodologies will maximize the opportunity for information use and re-use, this is particularly important as the true value of such assets is not always known when they are first acquired. This paper briefly describes the cultural and technical challenges associated with the application of information derived from 3D geological framework models by hydrogeological process models. We examine how these issues are being addressed and present a tool, SurfGrid, which allows a user to generate 3D grids (voxels) of parameterized data from a series of geological surfaces. The procedures and tools described offer the ability to re-use expensively created assets by providing user friendly techniques that enable multidisciplinary scientists to extrapolate property distributions from geological models.

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“…In subsequent years, data, for example borehole logs, tunnel maps and site 40 investigation reports, became increasingly available in digital formats (Bowie 2005, Jackson 2004. 41 This necessitated changes in data management practice (Culshaw 2005, Turner 2006), such as the 42 requirement for data to be spatially registered in nationally recognised coordinate and elevation 43 systems and a move towards corporate databases which have nationally agreed data standards and 44 validation procedures (Baker , Giles 2000, Kessler et al 2009). This increased accessibility of 45 digital data has resulted in 3D models moving from the conceptual model of (Fookes 1997) towards 46 the 'real' geological model of (Culshaw 2005, Royse et al 2008.…”

Section: Introduction 27 28mentioning

confidence: 99%

Combining numerical and cognitive 3D modelling approaches in order to determine the structure of the Chalk in the London Basin

Royse

2010

Computers & Geosciences

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8 9In order to determine the structure of the Chalk in the London Basin, a combined cognitive and 10 numerical approach to model construction was developed. A major difficultly in elucidating the 11 structure of the Chalk in the London Basin is that the Chalk is largely unexposed. The project had to 12 rely on subsurface data such as boreholes and site investigation reports. Although a high density of 13 data was available problems with the distribution of data and its quality meant that, an approach 14 based on a numerical interpolation between data points could not be used in this case. Therefore a 15 methodology was developed that enabled the modeller to pick out areas of possible faulting and to 16 achieve a geologically reasonable solution even in areas where the data was sparse or uncertain. 17 18 By using this combined approach, the resultant 3D model for the London Basin was more 19 consistent with current geological observations and understanding. In essence, the methodology 20 proposed here decreased the disparity between the digital geological model and current geological 21 knowledge. Furthermore, the analysis and interpretation of this model resulted in an improved 22 understanding of how the London Basin evolved during the Cretaceous period. 23 24 2

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Challenges and trends for geological modelling and visualisation

Cited by 144 publications

References 15 publications

A Systemic Approach Integrating Genetic, Mining and Management Visions: The Geologic and Mining Knowledge System

A Systemic Approach Integrating Genetic, Mining and Management Visions: The Geologic and Mining Knowledge System

Improving geological and process model integration through TIN to 3D grid conversion

Combining numerical and cognitive 3D modelling approaches in order to determine the structure of the Chalk in the London Basin

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