Study On Deep 3D Spatial Distribution Characteristics Of Ore-Forming Elements And Development Of Core Digital System In Jiama Mining Area,Tibet | Posted on:2019-10-26 | Degree:Doctor | Type:Dissertation | Country:China | Candidate:Z P Tao | Full Text:PDF | GTID:1520306926983429 | Subject:Earth Exploration and Information Technology | Abstract/Summary: | PDF Full Text Request | According to the new era of "national prospecting breakthrough action outline(2011-2020)" and the national "deep resources exploration and exploitation" key special requirements,deep mineralization prediction has become the focus of the current prospecting.The exploration geochemical prospecting is an effective method for deep prospecting,the primary halo geochemical prospecting method plays a crucial role in the exploration of deep mines.In the past,the primary halo geochemical methods selected the favorable sites for mineralizations were mostly combined with the laws of geological mineralization and the geological section.Although there were many significant results,it inevitably falls into the limitations of subjectivity and side view.The three-dimensional visualization method is applied in this article selected JiaMa copper polymetallic mining area as the study area,carried out three-dimensional primary halo-geochemistry deep mineralization prediction research,for the purpose of giving a visual geological and geochemical exploration and prospecting technology to the modern mine prospecting.With the development of the computer technology and the advent of big data age,the establishment of digital,informatization and intelligent mines has been the general trend.The requirement for of the pretreatment of primary halo geochemical data and the demand of mine information construction,the core data verification system and the core data management system are developed to provide the reliability guarantee for the data research of this paper,and the informatization schemes are also provided for the mine data management.According to the new era of "national prospecting breakthrough action outline(2011-2020)" and the national "deep resources exploration and exploitation" key special requirements,deep mineralization prediction has become the focus of the current prospecting.The exploration geochemical prospecting is an effective method for deep prospecting,the primary halo geochemical prospecting method plays a crucial role in the exploration of deep mines.In the past,the primary halo geochemical methods selected the favorable sites for mineralizations were mostly combined with the laws of geological mineralization and the geological section.Although there were many significant results,it inevitably falls into the limitations of subjectivity and side view.The three-dimensional visualization method is applied in this article selected JiaMa copper polymetallic mining area as the study area,carried out three-dimensional primary halo-geochemistry deep mineralization prediction research,for the purpose of giving a visual geological and geochemical exploration and prospecting technology to the modern mine prospecting.To sum up,this paper took geological metallogenic laws as the centre,based on the primary halo geochemical element data analysis and by the means of the three-dimensional visual modeling,and built a three-dimensional primary halo data body model and the profile cutting of the key parts to studying the spatial distribution law of primary halo geochemical metallogenic elements,and analyzing the comprehensive abnormal occurrence patterns,parsing the spatial dispersion structure of the primary halo geochemical elements.Combined with the geological background of the ore-forming law,the paper put forward the geological and geochemical deep ore-prospecting mark and determined the deep prospecting targeted,and provided a visual prediction process,a series of methods,and a schemes of informatization construction for metal mine deep mineral prediction. | Keywords/Search Tags: | The hole primary halo model, 3-d visualization model, Kernel principal component analysis, Multifractal, S-A modle, Prediction of deep mineral resources, The digital system of core, Verification system of primary data for mineral exploration | PDF Full Text Request | Related items |
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