Dutch experiences with integrated geoscience modelling Geological Survey of the Netherlands Michiel van der Meulen, Jan Stafleu, Ronald Vernes, Jan Gunnink.

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Presentation transcript:

Dutch experiences with integrated geoscience modelling Geological Survey of the Netherlands Michiel van der Meulen, Jan Stafleu, Ronald Vernes, Jan Gunnink geomodelling teams

contents (geology of) the Netherlands: quick facts where do we stand? geological surveying and the ‘digital divide’ where do we go?

geology of the Netherlands small European country high population density high land use intensity 60% Holocene (coastal and fluvial plains) 99% Quaternary geological resources gas (oil) salt, silica sand construction materials

geology of the Netherlands small European country high population density high land use intensity 60% Holocene (coastal and fluvial plains) 99% Quaternary challenges water lowlands, subsidence ground conditions

Geological Survey of the Netherlands geoscientific data, information and knowledge for: management of underground resources safe living on subsiding lowlands reduction of risks and costs associated with ground conditions

Geological Survey of the Netherlands core asset: DINO (national repository for geologic data and information) borehole data, cone penetration tests geophysical and geochemical data models (interpretations) national coverage, high data density our own and third party data standardized, but rather messy freely accessible soon to be governed by a new law

2.5D limits to representation possibilities especially in the Holocene (complexity, data density)  ‘full’ 3D

voxel modelling { x, y, z, p 1, p 2,..., p n } GeoTOP NL-3D national programme

geomodeling in the Netherlands framework models (2.5D) – stacked grids, primarily architecture voxel models (3D) – properties, multipurpose predictions of the architecture and properties of the subsurface systematic modelling, national coverage ‘traditional’ (1 : 50k) mapping suspended years ago

... what is a digital divide? “... gap between individuals, households, businesses and geographic areas at different socio-economic levels with regard both to their opportunities to access information and communications technologies (ICT's) and to their use of the Internet for a wide variety of activities.” so the digital divide is not between our paper past and digital future but between us and our users

... what is a digital divide? so the digital divide is not between our paper past and digital future but between us and our users it’s about delivery, accessibility application possibilities, usability interoperability supporting policy and decision making

delivery, accessibility models available for free download along with all our data (unless classified) and visualisation software web access still needs improvement national geohydrological model well established permitting, consultancy we need to build a user community for voxel models worst case: semiproduct for own use best case: 3D data set is used as such

application possibilities, usability our sponsors  users on top of our survey budget, we seek additional investment (‘tuning’) more detail extra properties acceleration not a business model per se but a means to engage with users own experiments with user applications (minerals, thermal energy)

trends geological maps  geological models  property predictions 2D D D deterministic probalistic qualitative quantitative geologic applied evolutionary process starting with digitization of data (1990s) basically: drawings  numbers so what if these are actually going to be used? this is where the plot thickens

key-register for the subsurface (BRO) by law, government bodies will have to feed and consult our database “single storage, multiple use” data and models operational in 2014 more use by an enlarged user group higher expectations accountability, reproducibility detail, resolution reliability, credibility feedback

where do we go (1) BRO (key registry) improvement and documentation of workflows calls for professionalization 3D  4D (processes, predictions in timespace) subsidence human effects ground water flow sediment dynamics dynamics within resolution of current models

where do we go (2) using third party data  using their knowledge feedback more focus on the urban environment artificial grounds, underground infrastructure delivering information for 3D planning crossborder information

conclusions (1) geoscience modelling in the Netherlands: over 2 decades of investment / experience between craft and science developed in a particular operational setting geology, resources, challenges, budget, etc. + pure chance more than pushing buttons grids and people

conclusions (2) approach as a whole difficult to ‘transplant’ collaboration between GSOs (crossing the digital divide?) exchange best practice standardization? especially for combinations with other (non-geoscientific) data explore new directions!