Characteristics Of Structural Superimposed Halo And Deep Prospecting Of Yangshan Gold Deposit, Gansu, China

Yangshan gold deposit is discovered in the golden triangle area of Sichuan, Gansu and Shaanxi provinces of our country. In order to expand the scale of Yangshan gold deposit belt, new technologies and new methods must be applied. Base on this, we conducted a study of structural superimposed halo and deep prospecting of Yangshan gold deposit.161 samples were collected from 17 drills of 4 lines of exploration section, in addition to collect 20 background samples from plagioclase granite porphyry, sandstone, limestone, phyllite.12 elements were tested, they are Au, Ag, Cu, Pb, Zn, Co, Mo, Mn, As, Sb, Bi, Hg. By the calculation of the geometric mean value, the contrast value and the correlation coefficient of the element, the correlation between the element composition and the element of different mineralization stages was determined. Through the exploration line number 05 ore body halo characteristics combined with general characteristics of structural superimposed halos, single mineralization halo axial zoning sequence is determined, and then determine the head-halo, near-ore-halo, the tail-halo elements combination, established Yangshan gold deposit of structural superimposed halo model. Here is the main results:According to calculated the data of the background samples that collected from the wall rock, the geochemical background of the mineral deposit is determined.Mineral elements combination: Au、Ag、Cu、Zn、Co、Mn、As、Sb、Bi、Hg.The standard of concentration anomaly zoning is determined, according to the standard, the structure superimposed halo section is drawn.Structural superimposed halo model of Yangshan gold deposit:Head-halo element combination- As, Sb, Hg;Near-ore-halo element combination-Au, Ag, Cu, Zn;Tail-halo element combination- Bi, Mn, Co;Single mineralization primary halo axial zoning sequence: from upper to lower:As, Sb, Hg, Au, Ag, Cu, Zn, Bi, Mn, Co.The prediction marks of the blind ore body is determined, and 3 prediction targets are proposed.