Supplementary data for the package DIMOPREC (Development of a Well Impairment Model for Predicting Geothermal Clogging)
doi:10.4121/21187270.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/21187270
doi: 10.4121/21187270
Datacite citation style:
Hussain, Ahmed; Karl-Heinz Wollf; Meulenbroek, Bernard; Khoshnevis Gargar, Negar; van der Star, Wouter et. al. (2022): Supplementary data for the package DIMOPREC (Development of a Well Impairment Model for Predicting Geothermal Clogging). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21187270.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
- Water composition of four different geothermal fields in the west Netherlands basin.
- Annual meetings slide packages.
- PHREEQC/iCP/COMSOL input files for sensitivity analysis, field case and others.
history
- 2022-09-28 first online, published, posted
publisher
4TU.ResearchData
format
PHREEQC, iCP (interface COMSOL/PHREEQC), COMSOL, .pdf files for presentations, excel files
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering;Deltares, Delft, The Netherlands;
Veegeo, Rotterdam, The Netherlands;
Rijksdienst voor Ondernemend Nederland, The Hague, Netherlands
DATA
files (6)
- 1,821,781 bytesMD5:
8c9001fe072498107938872aac26cc33
Anonymised data.zip - 889,688 bytesMD5:
32bbd471f6e2f650c1b9f97bf2dee537
Celestite case.zip - 4,132,270 bytesMD5:
8c3f1297b2e7a59964bd4779a50e1559
DIMOPREC_annual_ 20220509.pdf - 4,836,851 bytesMD5:
22cebbb8ded9444426a4f22ec22d0d8c
DIMOPREC_annual_20210409.pdf - 269,137 bytesMD5:
adff23df5d1feaa9710a896567464e71
Field case.zip - 236,249 bytesMD5:
aae12b2c60d86c563b7fd2a98baad00d
Sensitivity analysis - quartz AnEnSn.zip -
download all files (zip)
12,185,976 bytes unzipped