Author-submitted data information
| ID | 745 |
| Title | Training dataset for the GeoMTNet model |
| Creator | Yongbin He |
| Subject | Aqueous species; Minerals; Geological storage of CO2; Deep Learning |
| Publisher | Xiukuan Zhao |
| Description | This database contains the data used to train GeoMTNet in the study entitled “GeoMTNet: Multi-Task Deep Learning for Investigating the Impact of Injection Temperature on CO2 Storage in Saline Aquifers.” All data were generated from TOUGH simulation outputs. The InjectionTemperature_co2d_conc.dat file primarily contains the total concentrations of various ionic species, with units of mol/kg H2O. The InjectionTemperature_co2d_min.dat file mainly records the changes in mineral abundances expressed as volume fractions (%). In addition, SMCO2 represents the total amount of CO2 sequestered in mineral phases, reported in units of kg/m3 of the medium. The X_Z_Vol_Por.dat file records the grid coordinates, cell volumes, and initial porosity from the numerical simulations. |
| Contributor | Jianming He, Guanglin Zhang, Jian Wang, Zhaobin Zhang, Shouding Li, Xiao Li |
| Date | May 2025 |
| Type | The InjectionTemperature_co2d_conc.dat file contains the following variables: X, Y, Z, Sg, Sl, T, pH, Density_L, t_ca+2, t_mg+2, t_na, t_k , t_fe+2, t_sio2(aq), t_hco3, t_so4-2, t_alo2-, t_cl-, t_o2(aq), co2(aq). The InjectionTemperature_co2d_min.dat file contains the following variables: X, Y, Z, T, SMco2, Porosity, Permeabi., calcite, magnesite, quartz, kaolinite, illite, oligoclase, smectite-na, k-feldspar, chlorite, hematite, pyrite-2, smectite-ca, albite~low, dolomite-2, siderite-2, ankerite-2, dawsonite. The X_Z_Vol_Por.dat file contains the following variables: X, Z, Cell Volume, Porosity. |
| Format | .dat files can be viewed as text files. |
| URL | http://www.geophys.ac.cn/ArticleData/20251219GeoMTNet.zip |
| DOI | 10.12197/2025GA046 |
| Source | |
| Language | Eng |
| Relation | |
| Coverage | |
| Rights | Institute of Geology and Geophysics, Chinese Academy of Sciences |