4.7 Article

A prediction model for important mineral resources in China

Journal

ORE GEOLOGY REVIEWS
Volume 91, Issue -, Pages 1094-1101

Publisher

ELSEVIER
DOI: 10.1016/j.oregeorev.2017.09.010

Keywords

Mineral Resources Assessment; Prediction method; Metallogenic model; Prospecting model; Integrated prediction model

Funding

  1. National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2006BAB01A01]
  2. China Geological Survey Project [1212011120140, 1212001103000160910]
  3. Special Project on Exploration and Exploitation of Mineral Resources in Deep Earth under the National Key R D Program [2017YFC0601500, 2017YFC0601501]

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Prediction models for mineral resources provide an analytical foundation and method to express the results of resource evaluations. The project China National Mineral Resources Assessment Initiative was conducted during 2006-2013, with the aim to determine the location, quantity, and quality of 25 important mineral resources occurring at depths of < 1 km. There are currently 80 integrated prediction models on the scale of III-level metallogenic belts in use across China. The Huangshaping Pb-Zn polymetallic deposit, Hunan province, China, is used as a case study to establish methods and processes for developing a mineral resource prediction model that would be used for exploration targeting. The construction of prediction models requires the development of a classification scheme for the proposed prediction method appropriate for the prediction area. An initial metallogenic model is quantitatively transformed to a prospecting model, and then a prediction model. The incorporation of additional methodology, analysis of a comprehensive geological database, and correlation of asymmetric information between the well-explored typical deposit area and regional prediction area, yield an integrated prediction model. This paper also discusses the prediction modeling theory, and presents 12 models used for mineral assessments.

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