Groundwater flow rate prediction from geo-electrical features using Support Vector Machines: Bagoue dataset, Cote d'Ivoire

We implemented a support vector machines to predict groundwater flow before drilling using electrical resistivity profiling, vertical electrical sounding. We used the data from Cote d’Ivoire, west part of Africa and we tested the composite estimator in region of Bagoue, north part of CIV. Data are composed on electrical resistivity profile, vertical electrical sounding and borehole data. The coordinates of different boreholes are also mentioned.本研究采用支持向量机（Support Vector Machines），结合电阻率剖面法（Electrical Resistivity Profiling）与垂向电测深法（Vertical Electrical Sounding），开展钻探前的地下水流预测任务。本研究使用了非洲西部科特迪瓦（Côte d'Ivoire，简称CIV）的实测数据，并在科特迪瓦北部的巴古埃地区对复合估计量进行了测试验证。该数据集由电阻率剖面数据、垂向电测深数据与钻孔数据构成，同时标注了所有钻孔的空间坐标。