Groundwater Flow Rate Prediction From Geo‐Electrical Features Using Support Vector Machines

Unsuccessful drillings are issues in groundwater exploration using electrical resistivity profiling (ERP) and vertical electrical sounding (VES). Many geophysical companies spend a lot of money without obtaining the flow rate (FR) required during the campaigns for drinking water supply (CDWS). To solve this problem, we applied the support vector machines (SVMs) to real‐world data to predict the FRs before any drilling operations. First, from the ERP and VES, the features such as shape, type, power, magnitude, pseudo‐fracturing index, and ohmic‐area were defined including the geology of the survey area. Second, the FRs were categorized into four classes (dry: FR0 (FR = 0), unsustainable: FR1 (0