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Abstract
At a regional scale, the best predictor for the 3D geology of the near-subsurface is often the information contained in a geological map. One challenge we face is the difficulty in reproducibly preparing input data for 3D geological models. We present two libraries ( map2loop and map2model ) that automatically combine the information available in digital geological maps with conceptual information, including assumptions regarding the subsurface extent of faults and plutons to provide sufficient constraints to build a prototype 3D geological model. The information stored in a map falls into three categories of geometric data: positional data, such as the position of faults, intrusive, and stratigraphic contacts; gradient data, such as the dips of contacts or faults; and topological data, such as the age relationships of faults and stratigraphic units or their spatial adjacency relationships. This automation provides significant advantages: it reduces the time to first prototype models; it clearly separates the data, concepts, and interpretations; and provides a homogenous pathway to sensitivity analysis, uncertainty quantification, and value of information studies that require stochastic simulations, and thus the automation of the 3D modelling workflow from data extraction through to model construction. We use the example of the folded and faulted Hamersley Basin in Western Australia to demonstrate a complete workflow from data extraction to 3D modelling using two different open-source 3D modelling engines: GemPy and LoopStructural .
Authors 10
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Mark Jessell corresponding
The University of Western Australia · Mineral Exploration Cooperative Research Centre
Affiliation as printed
Mineral Exploration Cooperative Research Centre, Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, Perth, Australia
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The University of Western Australia · International Centre for Radio Astronomy Research · ASTRO-3D · ARC Centre of Excellence for All-sky Astrophysics
Affiliation as printed
ARC Centre of Excellence for All-Sky Astrophysics in 3 Dimensions (ASTRO 3D), Perth, Australia
International Centre for Radio Astronomy Research, The University of Western Australia, Perth, Australia
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Affiliation as printed
School of Earth, Atmosphere and Environment, Monash University, Clayton, Australia
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The University of Western Australia · Mineral Exploration Cooperative Research Centre
Affiliation as printed
Mineral Exploration Cooperative Research Centre, Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, Perth, Australia
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The University of Western Australia · Mineral Exploration Cooperative Research Centre
Affiliation as printed
Mineral Exploration Cooperative Research Centre, Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, Perth, Australia
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The University of Western Australia · Commonwealth Scientific and Industrial Research Organisation · Mineral Exploration Cooperative Research Centre · Australian Resources Research Centre
Affiliation as printed
CSIRO, Mineral Resources – Discovery, ARRC, Kensington, Australia
Mineral Exploration Cooperative Research Centre, Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, Perth, Australia
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Affiliation as printed
School of Earth, Atmosphere and Environment, Monash University, Clayton, Australia
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Affiliation as printed
Computational Geoscience and Reservoir Engineering, RWTH Aachen, Aachen, Germany
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Affiliation as printed
School of Earth, Atmosphere and Environment, Monash University, Clayton, Australia
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The University of Western Australia · Mineral Exploration Cooperative Research Centre
Affiliation as printed
Mineral Exploration Cooperative Research Centre, Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, Perth, Australia
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