Potential Assessment And High Precision 3D Modeling Of Porphyry Type Copper-Molybdenum Deposit In Wunugetu Mine,Inner Mongolia Province

Digital mine is future development direction of the mining,and visualization of 3D geological information is the fundamental basement for the development of digital mine.With the development and construction of digital mine in the world,the mining systems,ore-distribution and ore dressing system systems are gradually moving towards the characteristics of automation,it names “real time mining”(real-time information update and high-precision control).This also poses a huge challenge to traditional 3D geological modeling.There are two main types of traditional 3D geological modeling.At the district-scale research,multi-attribute parameters are used to quantitatively predict and evaluate the 3D mineral resources.At the deposit-scale research,the limited data of the mine is used to establish a 3D grade model.The former data is multi-scale and multi-source,and the accuracy is low;the latter model has high accuracy but single feature.Nowadays,the new demand of 3D geological models in digital mine is multi-parameter and high accuracy feature,which requires the model to continuously renew data as the mine development,so that the geological model can be updated at any time.This requires that multi-attribute 3D modeling can be achieved on a smaller scale,which not only has new requirements for the way of acquiring geological information data,but also has new challenges for the method of 3D geological modeling.This article on digital mine construction,using a variety of new techniques such as near infrared spectrum analysis,the element of XRF analysis,adjust measures to local conditions for rapid and efficient elements-mineral geological information collection,at the same time,with the aid of multi-parameter fusion algorithm such as collaborative kriging and machine learning,the multiple attribute geological information is converted to a high-precision three-dimensional geological model,effectively support the needs of the construction of digital mine geology model and development.This article relies on the construction of the Unugugtu Mountain Digital Mine,using a variety of new technologies such as near infrared spectroscopy,XRF element analysis,etc.,to quickly and efficiently collect element-mineral geoscience information according to local conditions,while using multi-parameter fusion algorithms such as Cooperating with Kriging and machine learning,the multi-attribute geoscience information is converted into a high-precision three-dimensional geological model,which effectively supports the demand and development of digital mine geological model construction.The main research results in this paper are summarized as follows:(1)The research contents of digital mine geological modeling are summarized systematically.According to the requirements of mine production and scientific research,I choose the best appropriate sampling,analysis and modeling methods to establish fine multiattribute geological models.(2)A variety of three-dimensional spatial data interpolation algorithms are compared,and the modeling characteristics and application environments of their respective algorithms are studied.The attribute high-density data algorithm can use ordinary Kriging interpolation.For multi-attribute data with strong correlation,collaborative Kriging interpolation can be used.For data sets with complex correlation relationships and many parameters,non-linear mathematical methods such as BP neural network can be used to achieve high-precision modeling of data.(3)temperature model-based mineralization prediction can be realized without geophysical data The prediction of favorable Cu and Mo metallogenic target areas can effectively locate and delineate the deep and peripheral resources of the deposit.(4)Based on the comprehensive model of lithology and rock hardness,numerical simulation of slope stability can be performed to provide safety for mine mining reference.This multi-parameter modeling supported the smooth operation of the various systems.The application of the model has brought millions of benefits for the mine to save costs and improve efficiency.