(1. 中南大學(xué) 有色金屬成礦預(yù)測教育部重點實驗室，長沙 410083；
2. 中南大學(xué) 地球科學(xué)與信息物理學(xué)院，長沙 410083)
摘 要: 介紹紅透山銅礦外圍隱伏礦體三維定量預(yù)測的技術(shù)組合和方法體系。首先，借助三維可視化仿真環(huán)境，實現(xiàn)紅透山銅礦的地表面、礦體、斷層、地層實體模型的三維可視化。其次，將成礦信息場、地層形態(tài)場、斷裂影響場、地球物理場等多元地學(xué)空間數(shù)據(jù)在統(tǒng)一的三維空間數(shù)據(jù)場構(gòu)架下有效集成，實現(xiàn)了三維空間信息的綜合研究和地學(xué)多專業(yè)的有機結(jié)合。其次，基于三維地質(zhì)空間相關(guān)場分析，為三維定量預(yù)測提取定量指標(biāo)集和建立預(yù)測模型。最后，使用三維定量預(yù)測模型對紅透山礦外圍的礦化位置與分布規(guī)律進(jìn)行預(yù)測和評價，圈定找礦靶區(qū)。三維地質(zhì)建模與可視化及三維地質(zhì)空間相關(guān)場等技術(shù)的使用，為進(jìn)行紅透山礦外圍隱伏礦體在三維空間中的分布及形態(tài)的定量預(yù)測提供支撐。
關(guān)鍵字: 紅透山銅礦；危機礦山；外圍；隱伏礦體；三維定量預(yù)測
surrounding areas of Hongtoushan copper deposit
（1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education,
Central South University, Changsha 410083, China;
2. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China）
Abstract:The systematic techniques and methods of concealed ore-body 3D quantitative prediction in the surrounding areas of Hongtoushan copper deposit of Liaoning province were introduced. Firstly, the 3D geological entity model of Hongtoushan copper deposit, including the terrain surface, ore-body, strata, and fault surface, was built in the 3D visualization circumstance. Secondly, through the integration of fields of mineralization information, strata’s morphology, fault influence and geophysical attributes in the framework of 3D geological space, the comprehensive analysis of multiple disciplinary of geosciences was achieved. Thirdly, based on 3D geological correlation field analysis, a set of geological ore-controlling quantitative factors and the 3D quantitative prediction model were proposed. Finally, the 3D location and distribution of concealed ore-body in the surrounding areas of Hongtoushan copper deposit were predicted to delineate the target regions. The technology of 3D geological modeling, visualization, correlation field supports the 3D quantitative prediction of concealed ore-body.
Key words: Hongtoushan copper deposit; crisis mine; surrounding areas; concealed ore-body; 3D quantitative prediction
