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Compiling a list of available public datasets #1

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LukasMosser opened this issue Apr 13, 2017 · 1 comment
Open

Compiling a list of available public datasets #1

LukasMosser opened this issue Apr 13, 2017 · 1 comment

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@LukasMosser
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This is to start compiling a list of available resources that could be used as benchmark geomodels and test cases:

Multiple-Point Statistics Benchmarks from Gregoire Mariethoz's book on MPS.
http://trainingimages.org/training-images-library.html

His website also has some public datasets on flow and transport:
http://www.minds.ch/gm/downloads.htm

The SPE comparative solutions project on reservoir simulation (SPE10 is a classic res. sim. test case)
http://www.spe.org/web/csp/#datasets

SAIGUP dataset on Sensistivity Analysis of the Impact of Geological Uncertainties on Production forecasting in clastic hydrocarbon reservoirs:
https://www.nr.no/en/SAIGUP

Johansen Dataset:
http://www.sintef.no/Projectweb/MatMorA/Downloads/Johansen/
http://www.sintef.no/MatMoRa

Matlab Reservoir Simulation Toolbox (may have some datasets to share)
http://www.sintef.no/projectweb/mrst/

The open porous media initiative offers a number of datasets:
http://opm-project.org/?page_id=559

Stanford VI dataset (full reservoir model):
https://github.com/SCRFpublic/Stanford-VI-E

IGEMS: Impact of geological modeling on sequestration test set:
https://www.nr.no/IGEMS/

FaultFacies model (but the actual site no longer exists):
https://www.nr.no/en/projects/faultfacies

TurbiditeModeling (available at bottom of page, license unclear):
https://www.nr.no/en/TuMod

Digital Rocks Portal:
https://www.digitalrocksportal.org/

Imperial College Micro-CT Data Repository:
http://www.imperial.ac.uk/earth-science/research/research-groups/perm/research/pore-scale-modelling/micro-ct-images-and-networks/

Fatiando's repository has a list of open datasets:
https://github.com/fatiando/fatiando/wiki/Open-geophysical-data-sets

And finally the SEG wiki page on open datasets:
http://wiki.seg.org/wiki/Open_data

@rowanc1
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rowanc1 commented Apr 19, 2017

This is awesome @LukasMosser. Thanks for all the pointers. :)

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