Application of geostatistics in digitization of polymetallic mines


  Geostatistics is a comprehensive discipline, which includes both geology and statistics, and is a cross-cutting discipline. In the development of metal mines, the knowledge of geology is very crucial, and the development of mines is impossible without the relevant geological knowledge. At the same time, the application of statistics to the development of metal mines has greatly improved the development of mine economy, the level of digitalization of polymetallic mines, and the development of the whole national economy.

  Concepts and tasks of geostatistics

  Geostatistics is a cross-cutting and comprehensive discipline, between geology and statistics, which contains two basic theories, namely regionalized variables and random functions. All of them are very important and play a key role.

  The basic tasks of geostatistics contain many aspects, which are guiding for the study of the development status and change process of the geo-economy and the future development trends, which are related to the sustainable development of the whole mining economy.

In geostatistics, the basic calculation method of mining process is to use the deposit as the basic mining unit, and the deposit is used to calculate the mining reserves, and in geostatistics, there is the best guidance plan for the whole mining process, and there are clear guidance for the mining plan and the sampling plan, and there is the most basic judgment on the reserve level of the mine, and then the best plan is made according to the judgment result. The best plan for the survey will be developed based on the results, thus increasing the economic revenue of the mine and keeping the entire mining process in order.

The application of geostatistics in the development of polymetallic mines can improve the digitization of the entire mining process, and now with the rapid development of computer technology, the application of computers in the development of polymetallic mines will become the future development trend of metal mining. The application of statistics in computer modeling is very extensive.

  Application of geostatistics in the digitization of actual polymetallic mines

  When mining a mine, the geology, surveying and related mining processes are closely linked and inseparable. Mine digitization technology is a comprehensive platform for combining these processes, a dynamic and timely means of mining process, which integrates the survey, measurement, collection and management of the entire process, and applies geostatistical methods to achieve concrete realization.

Therefore, geostatistics is very crucial for the digital application of metal mines. The application of geostatistics to the mining process of polymetallic mines improves the efficiency of the whole mining process, promotes the rapid development of the mining economy and raises the level of national economic income.

  (i) Establishment of relevant geological database

  In the process of digital application of geostatistics in metal mines, it is necessary to establish a corresponding geological database according to the relevant software requirements, and the geological database must include three parts: drilling, skewing and assaying. Among them, the drill hole form contains the drill hole number and the location of the hole opening, and the depth of the drill hole is also required; the skew information mainly includes the basic spatial trajectory of the drill hole, the depth of the skew, the azimuth of the drill hole and the inclination angle; the assay form mainly includes the information of the assay samples, and also contains the basic information of the drill hole number, the sample number and the elements of the assay. The establishment of geological database is a basic step in the digitization process, and the corresponding database should be established in any metal mining process to facilitate the query of related contents.

  (ii) Statistical analysis of data

  Statistical analysis of data is a key step in geostatistics. The basic statistics include information on the total number of samples, the mean, standard deviation, correlation coefficient, coefficient of variation, and the frequency and grade distribution of samples. In general, the degree of continuity of the deposit is determined based on the coefficient of variation, and the correlation between elements is determined based on the number of relationships.

  (C) Establishing grade model and calculating reserves

  Grade modeling is generally the last step in the digitization process of metal mines, and the related knowledge involved in the process of grade modeling is very much, and the methods involved are also relatively typical. Generally, it is based on the analysis of relevant statistical information that can provide a basis for the evaluation of information around the geology, and then the analysis enables the creation of a relevant grade model. Professional software is used to build the model module, apply existing mining methods, modeling methods to analyze the functions and determine the parameter values of the variation function theory to build an accurate grade model.

  After the grade model is built, the reserve calculation can be performed by combining the relevant data characteristics. The reserve calculation is the final step in the relevant grade modeling process and is the final result of the overall deposit grade model. By performing a total mine reserve calculation, the total amount of ore at the cut-off grade can be better assessed. Once the reserve calculation is performed, the ore can be better mined and provide a basis for establishing a good mining plan.


  With the development of the mining industry, the improvement of related metallurgical technology, and the increase of metal prices, the digitalization of metal mines has become imperative, and the application of geostatistics in the digitalization of metal mines has become indispensable. The knowledge of geostatistics is used to establish the relevant models, optimize the relevant mining models, adjust the corresponding production plans, and improve the economic efficiency of metal mines. The effective use of geological and statistical knowledge in the mining process can make a great contribution to the sustainable development of the mine economy in the future.