Patents by Inventor Jinling LIAO

Jinling LIAO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12203917
    Abstract: The present disclosure provides a method for determining an ore-forming environment of a porphyry deposit based on a tourmaline component, including the following steps: collecting a tourmaline-containing rock in the porphyry deposit to obtain a rock sample; performing pretreatment on the rock sample to obtain a treated sample; performing an in-situ tourmaline trace element test on the treated sample to obtain a test result; performing data processing and interpretation on the test result to obtain tourmaline trace element data; establishing a discrimination factor based on the tourmaline trace element data; and determining the ore-forming environment based on the discrimination factor. The present disclosure can quickly recognize a forming environment of a newly discovered porphyry deposit, thereby summarizing a rule and quickly giving guidance for a next prospecting direction.
    Type: Grant
    Filed: March 7, 2024
    Date of Patent: January 21, 2025
    Assignees: CHINA UNIVERSITY OF GEOSCIENCES (BEIJING), Tibet Julong Copper Co., Ltd.
    Inventors: Youye Zheng, Jianzhou Yi, Peng Liu, Song Wu, Xiaofang Dou, Quansheng Shen, Zhixin Zhang, Jinling Liao, Jiancuo Luosang, Defu Shu, Qiong Ci, Xiaofeng Liu
  • Publication number: 20240426802
    Abstract: The present disclosure provides a method for determining an ore-forming environment of a porphyry deposit based on a tourmaline component, including the following steps: collecting a tourmaline-containing rock in the porphyry deposit to obtain a rock sample; performing pretreatment on the rock sample to obtain a treated sample; performing an in-situ tourmaline trace element test on the treated sample to obtain a test result; performing data processing and interpretation on the test result to obtain tourmaline trace element data; establishing a discrimination factor based on the tourmaline trace element data; and determining the ore-forming environment based on the discrimination factor. The present disclosure can quickly recognize a forming environment of a newly discovered porphyry deposit, thereby summarizing a rule and quickly giving guidance for a next prospecting direction.
    Type: Application
    Filed: March 7, 2024
    Publication date: December 26, 2024
    Applicants: CHINA UNIVERSITY OF GEOSCIENCES (BEIJING), Tibet Julong Copper Co., Ltd.
    Inventors: Youye ZHENG, Jianzhou YI, Peng LIU, Song WU, Xiaofang DOU, Quansheng SHEN, Zhixin ZHANG, Jinling LIAO, Jiancuo LUOSANG, Defu SHU, Qiong CI, Xiaofeng LIU
  • Publication number: 20240290437
    Abstract: The present invention discloses a method for evaluating a metallogenic potential of a skarn deposit based on the magnetite composition, including collecting geological, geophysical, geochemical, and remote sensing data in a studying area, systematically, and delineating a favorable area for mineralization; collecting magnetite-bearing samples in the favorable area for mineralization, and describing the lithology, alteration and mineralization characteristics of each sample; selecting the most representative magnetite samples for chemical analysis to obtain average contents of trace elements Ti, Ni, V, K and Al+Si+Mg, denoted as c(Ti), c(Ni), c(V), c(K), and c(Al+Si+Mg) in ppm; and calculating discriminant factors F1, F2, F3, and F4 by substituting data, and performing discrimination; and when the four discriminant factors all discriminate the metallogenic potential to be better, determining the skarn deposit in the favorable area for mineralization to have a good metallogenic potential; and discriminating as
    Type: Application
    Filed: October 23, 2023
    Publication date: August 29, 2024
    Applicants: CHINA UNIVERSITY OF GEOSCIENCES (BEIJING), Tibet Julong Copper Co., Ltd.
    Inventors: Youye ZHENG, Lei LI, Xiaofang DOU, Zhixin ZHANG, Jinling LIAO, Qiong CI, Song WU, Xiaofeng LIU, Jingjing LI, Peng KANG