本文關鍵詞： 卡拉麥里 金礦 多源信息 成礦預測　出處：《新疆大學》2015年碩士論文　論文類型：學位論文

【摘要】：新疆東準噶爾卡拉麥里成礦帶位于西伯利亞板塊和準噶爾板塊縫合部位,深大斷裂構造較為發(fā)育,屬于卡拉麥里-莫欽烏拉成礦帶,金礦成礦地質條件優(yōu)越,具有形成大型金礦床的潛力,是新疆重要的金及多金屬成礦帶。本文以雙泉金礦和庫布蘇金礦作為典型金礦床,研究其成礦地質特征,總結控礦因素。研究區(qū)內金礦化受斷裂構造控制明顯,發(fā)育在斷裂構造密集區(qū)及斷裂附近部位。研究區(qū)內地層具有成礦專屬性,90%以上的金礦點均分布于泥盆系及石炭系地層中,二者均具有較高的金背景值。金礦化分布受熱液活動范圍控制,通常發(fā)育在巖體的外接觸帶上。結合典型金礦床的研究,收集了研究區(qū)內1:20萬區(qū)域地質資料、1:20萬化探資料及ETM+遙感資料。在ArcGIS平臺下建立空間數(shù)據(jù)庫,進行集成并統(tǒng)一。對遙感影像進行了幾何校正、圖像融合、圖像鑲嵌、圖像裁剪和圖像增強等處理后,結合區(qū)域地質圖建立地質類要素集。主要包括沉積(火山)巖、侵入巖、蝕變巖、地質界線、斷層、礦點等要素。對航磁數(shù)據(jù)及化探數(shù)據(jù)正態(tài)分布化處理后,進行空間插值建立物化探類要素集。通過單因素與成礦的關系研究,確定斷層距離、地層、Au元素地球化學異常為主要影響因子;斷層密度、與侵入巖體距離(熱液活動范圍)為次要影響因子;As元素地球化學異常、航磁數(shù)據(jù)為非影響因子不參與綜合評價。在Arc GIS平臺下,依據(jù)影響因子對成礦的有利度大小賦予不同權重值�；跂鸥駡D層對各影響因子進行重分類及柵格計算。柵格像元值越大越有利于成礦。依據(jù)對多源信息的綜合分析,最終圈定5處成礦潛力區(qū)分別為:清水成礦潛力區(qū)、雙泉成礦潛力區(qū)、蘇吉泉東成礦潛力區(qū)、庫布蘇成礦潛力區(qū)、北塔山成礦潛力區(qū)。其中清水成礦潛力區(qū)及北塔山成礦潛力區(qū)已定為金、銅普查區(qū),并開展了相關工作。
[Abstract]:The Karamaili metallogenic belt in eastern Junggar, Xinjiang, is located at the suture site of Siberian plate and Junggar plate. The deep fault structure is relatively developed and belongs to the Karameli-Mochin Ula metallogenic belt, and the ore-forming geological conditions of gold deposits are superior. It is an important gold and polymetallic metallogenic belt in Xinjiang. In this paper, Shuangquan gold deposit and Kubusu gold deposit are used as typical gold deposits to study their metallogenic geological characteristics. The ore-controlling factors are summarized. The gold mineralization in the study area is obviously controlled by the fault structure, and developed in the area of concentrated fault structure and near the fault. More than 90% of the gold deposits with metallogenic specificity in the study area are distributed in the Devonian and Carboniferous strata. Both of them have higher gold background value. The distribution of gold mineralization is controlled by the range of hydrothermal activity and usually developed in the outer contact zone of rock mass. The 1: 200 000 geochemical data and ETM remote sensing data of the 1:20 regional geological data in the study area were collected. The spatial database was established under the ArcGIS platform to integrate and unify the remote sensing images. The geometric correction, image fusion and image mosaic of the remote sensing images were carried out. After image clipping and image enhancement are processed, the geological elements are set up in combination with the regional geological map. They mainly include sedimentary (volcanic) rock, intrusive rock, altered rock, geological boundary, fault, etc. After the normal distribution of aeromagnetic data and geochemical data is processed, the geophysical and geochemical exploration elements set is established by spatial interpolation. The fault distance is determined by studying the relationship between single factor and mineralization. Geochemical anomaly of au element in strata is the main influencing factor, fault density and distance from intrusive rock mass (range of hydrothermal activity) are secondary influencing factors of geochemical anomaly of element as. Aeromagnetic data are non-influential factors and do not participate in comprehensive evaluation. Under the Arc GIS platform, According to the influence factors, the influence factors are reclassified and calculated based on the grid layer. The larger the grid pixel value is, the more favorable the mineralization is. Based on the comprehensive analysis of the multi-source information, Finally, five metallogenic potential areas are delineated as follows: clear water metallogenic potential area, Shuangquan metallogenic potential area, eastern Sujiquan metallogenic potential area, Kubusu metallogenic potential area, etc. North Tashan metallogenic potential area, in which clear water metallogenic potential area and North Tashan metallogenic potential area have been designated as gold and copper survey area, and relevant work has been carried out.
【學位授予單位】：新疆大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：P618.51

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相關期刊論文 前1條

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本文編號：1539979