Published June 28, 2022
| Version v1
Dataset
Open
CCS-RTM-GBDT-BO
Description
Carbon Capture Storage (CCS) relevant Reactive Transport Modelling (RTM) of microfractures in basaltic rock; emulated using Gradient Boosted Decision Trees (GBDT) and subsequently optimised using Bayesian Optimisation (BO) framework. This project's code is hosted on Github at https://github.com/ThomasDodd97/CCS-RTM-GBDT-BO. This upload on Zenodo contains the dataset used to train four XGBoost GBDT surrogate models, whose model files are also uploaded here.
Files
bfm_XGBModel_5-5_Epo-300.json
Files
(11.9 GB)
| Name | Size | |
|---|---|---|
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md5:6b06aec5b5e81331240c0e58c4734177
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163.4 kB | Preview Download |
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md5:32a9f2496545f53c710f41b10d695953
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1.6 MB | Preview Download |
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md5:b8bf6b550eb21a4b51385755af326082
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16.3 MB | Preview Download |
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md5:7b9fca3f828ffb4c5995eb3fd847bcc4
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163.8 MB | Preview Download |
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md5:3d893ea7be2925bd3a663e3c99090e29
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11.7 GB | Download |
Additional details
Related works
- Is cited by
- Software: https://github.com/ThomasDodd97/CCS-RTM-GBDT-BO (URL)