Tibet Julong Copper Co., Ltd.

China University of Geosciences (beijing)

China University of Geosciences (wuhan)

Jiangang Wei

Youye Zheng

Zhuoga Suolang

Jiancuo Luosang

Jingjing Li

Song Wu

Xin Chen

Xiaofang Dou

Xiaofeng Liu

Qiong Ci

Xiaojia Jiang

Defu Shu

Hongjun Cheng

Feng Gao

Daohu Lin

Shucun Wang

Peng Kang

Zhaolong Xue

A method for rapid prediction of porphyry copper mineralization potential based on spectral characteristics of tourmaline, includes collecting and collating data related to magma-fluid evolution, petrography and mineralogy of a porphyry copper deposit in a working area, systematically, distinguishing magmatic tourmaline from hydrothermal tourmaline in the working area, and further distinguishing phases and generations of the hydrothermal tourmaline; collecting hydrothermal tourmaline samples of the same phase and generation; performing short-wave infrared spectroscopy measurement on the collected hydrothermal tourmaline samples; extracting spectral characteristics of the Fe—OH wavelength and Mg—OH wavelength of the tourmaline samples based on The Spectral Geologist (TSG); and when the Fe—OH wavelength is less than 2245.75 nm, and the Mg—OH wavelength is greater than 2356.57 nm in the short-wave infrared spectrum of the samples, indicating that the porphyry copper deposit in an area where the samples are located has a great metallogenic potential.

Method for rapid prediction of potential of porphyry copper mineralization based on spectral characteristics of tourmaline

A GPU-based integrated processing method for geochemical data, includes the following steps: S, storing geochemical data in a format of a preset three-dimensional array data structure Struct_A, S, iteratively processing the formatted geochemical data by using a compute shader in a GPU, calculating a mean value and a standard deviation of content of each chemical element, calculating a threshold value of the chemical element, eliminating sampling points according to the threshold value, repeating the operations until there is no sampling point to be eliminated, and calculating a final mean value as a background value and a final threshold value as a lower limit value of anomaly; and S, constructing spatial coordinates according to the obtained new geochemical data set, loading the spatial coordinates into a fragment shader for rendering, and completing anomaly delineation according to the background value and the lower limit value of anomaly.

GPU-based integrated processing method and system for geochemical data

A method for determining a direction and a distance of a metallogenic pluton of a skarn deposit with a garnet includes: collecting a sample; performing petrographic observation on the sample and designing an experimental area; computing a parameter; building a model; setting a parameter range; optimizing the parameters of the three models through a grid search method, and determining an optimal model and corresponding parameters a', b and c through repeated circulative iteration and by taking a minimum R as a limit condition; and substituting data of all sampling points into the optimal model, computing D of each sampling point, drawing a circle with a corresponding sampling point as a center and D as the radius, determining an intersection point of all circles as coordinates of the metallogenic pluton, and performing delineation with R as a buffer area of the metallogenic pluton.

Method for determining direction and distance of metallogenic pluton of skarn deposit with garnet

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Jiangang Wei