Data from 126 logged groundwater wells analyzed to assess geologic, topographic, and physiographic controls on the occurrence and distribution of fractures and transmissivity of water-bearing fractures in West Virginia

This data release summarizes 126 borehole geophysical logs collected in fractured rock aquifers within the state of West Virginia. Data includes site information for the wells logged, in addition to all fractures identified as part of processing of borehole logs collected for the study. A machine learning algorithm was used to identify values in logs characteristic of specific lithologic formations, and to then use those range of values to identify the lithology for each interval in the various boreholes. The lithologic identifications were then assessed visually to assure the algorithm worked properly and did not misidentify certain lithologies. Overall the algorithm worked effectively, but did have some issues differentiating limestone from sandstone, so some manual adjustments of identified lithologies was necessary for a small percentage of the wells assessed.There are three data files that contain information for each of the 126 logged wells. Appendix 1 is found in LoggedWellInformation.csv describes the location and specific site characteristics for each of the 126 logged wells. Appendix 2 is found in AllBoreholeFractures.csv contains all fractures identified as a part of the analysis of the raw borehole geophysical logs collected for this study. This data includes both high transmissive water-bearing fractures, and low transmissive fractures. Appendix 3 is found in WaterBearingFractures.csv contains only those fractures with sufficient transmissivity to be identified as water-bearing fractures, and includes transmissivity estimated for each of the water-bearing fractures.