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Output geospatial data from paper 'Capturing geological uncertainty in salt cavern developments for hydrogen storage: Case study from Southern North Sea.'

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posted on 2024-01-11, 15:58 authored by Hector BarnettHector Barnett

Outputs / Results from the paper 'Capturing geological uncertainty in salt cavern developments for hydrogen storage: Case study from Southern North Sea.'

Results are supplied as -

***Geospaital Data***

GPKG files

GPKG files are the output model iterations with the closest sum H2 TWH values to the p10,p50,p90 values and are named as such. Iteration for these can be seen within figures of supplie paper and cross refrenced to the CSV

***Montecarlo simulation Data ***

CSV files from montecarlo simulation

Nomenclature:

SetCav = Set Cavern geometry, size of 300 m height, 58 m Diameter

VarCav = Varible Cavern Size, cavern sight is chosen dependent on salt thickness and height-to-diameter ratio

SeisDATA = Seismic data derived caverns. Caverns were generated using geological surfaces interpreted from seismic data specifically for this paper, more details see manuscript


See paper for more info on geological models used


3 Levels of output data

1. Basin wide, used geological surfaces from the following - input data from https://opendata-nstauthority.hub.arcgis.com/documents/be4c9089a1c04851970ec256695b49b7/about . Top target salt is top Zechstein

2. Sub-regional, used geological surfaces from the following - input data from https://onlinelibrary.wiley.com/doi/10.1111/bre.12768 . (Seismic derived at 50m incline and xline, 5% residual depth conversion at Zechstein level) Top target salt is top Zechstein

3. Block Level.

- Salt Wall - input data from https://onlinelibrary.wiley.com/doi/10.1111/bre.12768 . (Seismic derived at 50m incline and xline, 5% residual depth conversion at Zechstein level) Top target salt

- Layered Evaporite - The top target salt is the Stassfurt Halite. Surfaces interpreted from seismic data(Seismic survery MA933F002), depth converted with a 7% residual at Top Zechstein.

Please see the collection (https://doi.org/10.25405/data.ncl.c.7016283) for more supporting data and code

Funding

Centre for Doctoral Training (CDT) in Geoscience and the Low Carbon Energy Transition

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