71 to 80 of 189 Results
                
                
                
                        
                        Feb 3, 2023
                         Schovsbo, Niels, 2023, "Replication Data for: Holmslykke, H.D., Schovsbo, N.H., Kristensen, L., Weibel, R., Nielsen, LH., 2019. Characteris-ing brines in deep Mesozoic sandstone reservoirs, Denmark. Geological Survey of Denmark and Greenland Bulletin 43, e2019430104, 1–5.", https://doi.org/10.22008/FK2/IGTVXI, GEUS Dataverse, V1
                         Water chemistry data input to PCA model. | 
MS Excel Spreadsheet - 32.4 KB - 
                                MD5: 86c509e9dcb2e7aa633e6969f7d1ab26
                                
                         Water chemistry data input to PCA model.  | 
                        
                        Feb 3, 2023
                         Hemmingsen Schovsbo, Niels, 2023, "Replication Data for: Schovsbo, N.H., Hedegaard, K., Holmslykke, H.D., Kjøller, C., Kristensen, L., Thomsen, E., Esbensen, K.H., 2016. Formation water and produced water types in Danish oil and gas fields: Implications for enhanced oil recovery by “smart” water. Geological Survey of Denmark and Greenland Bulletin 35, 43–46."", https://doi.org/10.22008/FK2/BRS3UM, GEUS Dataverse, V1
                         Water Chemsitry and results from PCA analysis. Data from multiple source. Reference given in accompaning papaer | 
MS Excel Spreadsheet - 18.5 KB - 
                                MD5: c6af56de08a3426d4a4c21a5cf40cb4c
                                
                         Water Chemistyr data for Danish North Sea   | 
                        
                        Oct 25, 2022
                         Keulen, Nynke; Mette Olivarius; Nikolai Andrianov, 2022, "Scanning electron microscope images dataset for geothermal reservoir characterisation", https://doi.org/10.22008/FK2/5TWAZK, GEUS Dataverse, V2
                         Set of Scanning Electron Microscope images consisting of a cathodoluminesce image, a back-scattered electrons contrast image and a false coloured mineral map of each analysed area. There are several datasets, where each set represents one sample. The image set can be used to deve... | 
Oct 25, 2022 - 
                            Scanning electron microscope images dataset for geothermal reservoir characterisation
                         
                        ZIP Archive - 509.8 MB - 
                                MD5: 85b1d07f5e0ca6311c60f60b85f1bdf0
                                
                         dataset2 | 
Oct 25, 2022 - 
                            Scanning electron microscope images dataset for geothermal reservoir characterisation
                         
                        ZIP Archive - 719.3 MB - 
                                MD5: dd8817bbab93ccb4628f4a4b99ab0561
                                
                         dataset 2 | 
Oct 25, 2022 - 
                            Scanning electron microscope images dataset for geothermal reservoir characterisation
                         
                        ZIP Archive - 12.3 MB - 
                                MD5: 0d8a4589c9128dcfa8b620799e89bc15
                                
                         dataset2 | 
Oct 25, 2022 - 
                            Scanning electron microscope images dataset for geothermal reservoir characterisation
                         
                        ZIP Archive - 270.9 MB - 
                                MD5: d1d5d42fe6a1b234520a767511a2f9b5
                                
                         dataset3 | 
Oct 25, 2022 - 
                            Scanning electron microscope images dataset for geothermal reservoir characterisation
                         
                        ZIP Archive - 361.3 MB - 
                                MD5: cb8659ee4eeacb10ef42ae91e439154e
                                
                         dataset3 | 
                