UV-Fluorescent Sensing for Primary Selection of Metal-rich Seafloor Massive Sulfide Ore

Seafloor massive sulfides (SMS) in the western Pacific have received much attention as resources for Au, Ag, Cu, Zn, and Pb. Because of the higher metal contents, the venture commercial mining project may start in 2013 in the East Manus Basin, Papua New Guinea. One of important problems to be solved is reducing the waste rock disposal costs for the economy. The best location for the reducing is on seafloor just after the excavation of SMS ores. The authors select UV-fluorescent sensing for primary selection of the ores, because no additional environmental impact is created with the application of the method. First of all, the effectiveness of the UV-fluorescent sensing by a combination system with a UV-light and a camera (See attached figure) in deep water condition is clarified. Then many UV-fluorescent data of SMS ore, SMS accompanied rock, and seafloor rock samples are collected. In the analyses phase, the ore and rock samples are classified into some groups by applying the cluster analysis to the metal contents at first. Then, using the UV fluorescent color brightness and contrasts of the ore and rock samples, the discriminant analysis based on Mahalanobis distance is applied. The higher possibility to identify the SMS ores containing valuable metals from camera image is suggested from the analyses. When additional UV-fluorescent and chemical assay data are obtained, the renewal of discriminant analysis is necessary. Therefore, the results and conclusions described in this study are tentative ones.; UV-fluorescent sensing