Geothermal play fairway analysis in north-western Argentina
This dataset is a compilation of existing and new publicly-available geoscience data that were used to conduct a geothermal play fairway analysis (PFA) in north-western Argentina in the Jujuy and Salta provinces. The 'Model_Input_Datasets' folder includes the original ArcGIS shapefiles and rasters that were used to build the geological favorability models for heat, permeability and fluid. Detailed metadata for each dataset (e.g. provenance; use constraints etc.) can be viewed for each file in ArcCatalog. The 'Area_One' shapefile represents the study area boundary that was used to define the processing extent for the PFA models. The favorability models were built using the ModelBuilder tool in ESRI ArcGIS (this model was run using ESRI ArcMap version 10.7.1). The 'Python_Scripts' folder includes python scripts for building each of the four favorability models (heat, permeability, fluid and overall geothermal favorability). The 'ProcessingNotes_for_PFA_model_development' file (.xlsx or .pdf format) includes a description of the various steps used to weight individual data attribute fields, data layers themselves, and overall model development. This file complements the python scripts. This dataset accompanies a paper submitted to Geothermics by Lindsey et al., 2021, 'Geothermal play fairway analysis in north-western Argentina'.
Steps to reproduce
These data are a compilation of existing and new publicly-available geoscience data in the Puna region of Argentina in the Salta and Jujuy provinces. These data are provided "as is", and the Great Basin Center for Geothermal Energy (GBCGE) at the University of Nevada, Reno (UNR), and Servico Geológico Minero Argentino (SEGEMAR) assume no responsibility for any errors or omissions. The User assumes the entire risk associated with their use of these data. GBCGE/UNR and/or SEGEMAR shall not be held liable for any use or misuse of the data described and/or contained herein. The User bears all responsibility in determining whether these data are fit for the User's intended use. Although effort has been made to perform QA/QC, the data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. These data are neither official records, nor legal documents and must not be used as such. The publication this dataset accompanies (Lindsey et al., 2021) should be cited as the data source in any products using or derived from these data. Any Users wishing to modify the data are obligated to describe the types of modifications they have performed. The User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by GBCGE/UNR or SEGEMAR. By using these data, you hereby agree to these terms and conditions.