云南澜沧上允铜多金属勘查区综合信息成矿定位预测
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摘要
改革开放以来,随着经济的飞速发展,我国对矿产资源的需求与日俱增,而目前我们国家各主要矿种的资源保证程度相当低,矿产资源的形势非常严峻,严重威胁着国家的经济安全和社会稳定。为了改变这种形势,我们必须依赖于科技进步,积极探索新的、更有效的现代成矿预测理论与高新技术有机结合的矿产资源预测体系,整体提升我国矿产资源勘查评价水平和科学预测能力,寻找和发现新的矿产资源品种和类型,增加矿产资源的储备,为我国经济安全、高效、持续发展提供资源保证。
     本论文结合《澜沧上允铜多金属矿勘查区综合信息成矿与靶区快速定位预测》项目的研究需要而选题。收集前人地质资料并对勘查区进行了为期数月的综合地质调研,获得了勘查区多源地学信息,并加于分析、总结,较为全面的认识了勘查区的成矿背景及控矿因素,初步建立了该区综合信息找矿模型;在此基础上,进一步系统研究了国内外成矿预测的先进理论与方法,鉴于该区地学信息仍不够全面、完善、精确,应用BP人工神经网络高度非线性映射的特性,建立了基于BP人工神经网络的勘查区综合信息成矿预测模型,预测结果稳定、良好。通过上述研究,主要获得以下成果和认识:
     1.地质信息:勘查区处于文东—富邦褶皱束东缘,区内主要由元古代澜沧群变质岩系构成,盖层为中生代地层,区内广泛分布于印支期和燕山晚期花岗岩,在区域变质作用和岩浆侵入作用过程中,伴随锡(钨)、铜、铅锌等成矿作用;区内断裂以北东(北北东)—南西(南南西)向为主,常被北西—南东向切割,局部切割关系相反且明显的反映了在花岗岩内、外接触带对锡(钨)、铜、铅(锌)、银等矿产起重要控制作用。其中邦威水平—那阮北北东—南南西断裂带是重要铜多金属的控矿断裂带;燕山晚期花岗岩体中的北西向断裂带对锡(钨)矿化具有明显的控制作用;
     2.遥感信息:勘查区内各方位的线性构造均有发育,其中NE向和NW向线性构造线性特征清晰,控制了该区地形地貌的发育,是相对较新的构造,二者也常常相伴出现,具有共轭的特点。环形构造反映断裂构造、岩体等的环带性,在邦威水库、邦威上寨、那阮、红毛岭等地均显示不同环形构造存在,且环内的线性构造发育,应是成矿的有利部位;
     3.地球物理信息:地球物理勘查后共获异常17个,其中,Ⅰ类异常(有找矿意义)1个、Ⅱ类异常(有一定找矿意义)为4个、Ⅲ类异常(性质不明)为4个、Ⅳ类异常(无找矿意义)为8个;所有的激电异常处于澜沧群惠民组(Pthm)地层上,靠近澜沧群惠民组(Pthm)地层与花岗岩接触带上,此接触带有一定的找矿前景;
     4.地球化学信息:采用地层地球化学和构造地球化学研究,确定了该区成矿元素地球化学背景和异常,圈定了有利异常区域,提出矿化异常的形成与后期构造密切相关,成矿元素具有明显的分带特征;岩体内部为高温度矿床、接触带附近为高—中温矿床,外部为中低温矿床,成矿元素水平分带现象较为明显;
     6.综合信息定位预测:论述了人工神经网络BP模型在成矿预测应用中的可行性与优越性,合理设计网络结构,建立了该区的综合信息成矿预测模型,从而量化了勘查区内所有预测样本的成矿有利度,绘制出成矿有利度等值线图,圈定了四个靶区。为以后的地质找矿工作奠定了良好的基础。
Since the reforming and opening to the outside world, with the rapid development of economy, it is growing day by day in demanding for mineral resource in our country, but the resource guarantee degree of major kinds of mineral resource in our country is quite low, and the supply situation of mineral resource is very severe, so it has already severely threatened the economical security and the social stabilization of our country. To change this situation, we must depend on the improvement and advance of the progress in science and technology, and research actively and find out the new and more effective mineral resource prognosis system combining the modern metallogenic prognosis theories and high-tech, to advance whole the level of the mineral resource survey and resource estimation and the ability of scientific prognosis of our country, to search and find alternative mineral resource varieties, to increase the reserve of mineral resource, to provide the sufficient resource guarantee for the secure, highly effective and continual economical development of our country.
     The reserch based on a project named< The polymetallic deposits potential evaluation and exploration analysis of Pb and Zn in the region of Dian-Chuan-Qian>. After collecting and consulting so many data and information on target area for months, we obtained quite a lot multi-source geological information. We analyzed and concluded the information, and formed a comprehensive recognition of background and main factor that controls the mineralizing, and build an mineral-exploration model based on target overall data initially. We also further study the advanced mineralizing and exploring theories in domestic and abroad, and due to the insufficient and imprecise data, we use BP neural network to predict the mineralizing possibility, and results turned out to be stable and favorable. After our research, we could draw the conclusion follows:
     1.Geological information:The targeted Exploration area located at east fold and wendong-fubang, and the main formation consisted of metamorphic rock of LanCang group of Proterozoic, and cap-rock was Mesozoic strata, and wildly spreaded granite which framed in Indosinian and late Yanshanian period. During the process of regional metamorphism and invading of magma, as well as the minerallizing process of Sn (W),Cu and Zn. There is an main fault which direction was northeast to southwest, and cut by a sub-fault which was northeast to southeast, and regional Crosscutting relationship was opposite and take place within the granite rock, and exomorphiczone dominate the mineralizing of Sn (W),Cu and Zn. Besides, the bangwei horizontal-naruan northeast-southwest fault is an important zone to control the mineralizing of Cu. The nouthwest fault within the granite with was formed during the late Yanshanian period played an important role in mineralizing of Sn (W).
     2.Remote sensing information:A linear structure were developed in the exploration area, among which NE and NW direction linear structure were so clearly, and dominate the development of topography in this area which was a new, and happened with each other which has a characteristic of conjugation. Ring tectonic structures reflected the fracturing activities, and the existence of ring tectonic structures were found in nawei reservior, weibang village, naruan and hongmao mountain. In such area, the linear tectonic structures were well-developed which is an Favorable positions for mineralizing.
     3. geophysical information:Geophysical exploration has gain 17 abnormal site. There is oneⅠ-abnormal which has exploration value, and fourⅡ-abnormal which has certain exploration value, and 4Ⅲ-abnormal which is unclear, as well as eightⅣ-abnormal which has no exploration value. All of the electric abnormal site located at huimin Group of langcang, and the region near the huimin groud which is above the granite formation has certain degree of exploration value.
     4. geochemical information:Adopted geochemical and tectonogeochemical research, we ensure the geochemical background and abnormal of mineralizing elements, and determined the valuable abnormal region and raised the correlation of post-mineralizing abnormal with later tectonic activities, and mineralizing elements has a great characteristic of distincted distribution. For high temperature rock bed within the rockmass, and high-medium temperature rock bed near the contact zones, also the medium-low temperature rock bed in outer rockmass, and Ore-forming elements horizontal distribution phenomenon is relatively obviously.
     6. Comprehensive information positioning prediction:We discussed the useful and advantage of BP neural network in mineralizing prediction, and reasonably designed network structure and built the mineralizing prediction model based on comprehensive information to quantificat the value of each Exploration area. We also mapped the contour map based on value of each area, and ascertain four targeted sites. Our research has laid an important ground for our mineralogy prospecting works.
引文
[1]陈毓川,赵逊,张之一等.世纪之交的地球科学-重大地学领域进展.北京:地质出版社.2000
    [2]肖克炎.应用综合信息法研究成矿规律及成矿预测新进展[J].地球科学进展,1994,9(2):18-23.
    [3]王浩丞,孙宝生.矿产资源潜力评价研究现状及发展方向展望[J].西部探矿工程,2010,29(11):165-166.
    [4]朱裕生,王柏钧.矿产资源评价的现状和展望[R].
    [5]张长青,毛景文,吴锁平等.川滇黔地区MVT铅锌矿床分布、特征及成因.矿床地质,2005,24(3):336-348
    [6]王世称,陈永良,夏立显.综合信息矿产预测理论与方法.科学出版社.2000
    [7]肖克炎,建华,刘锐.美国“三步式”固体矿产资源潜力评价方法评述[J].地质论评,2006,52(6):793-798.
    [8]宋国耀,张晓华,肖克炎,朱裕生.矿产资源潜力评价的理论和GIS技术[J].物探化探计算技术,1999,8,21(3):525-527.
    [9]娄德波,肖克炎,丁建华,孙艳.矿产资源评价系统(MRAS)在全国矿产资源潜力评价中的应用[J].地质通报,2010,29(11):1677-1683.
    [10]肖克炎,张晓华,宋国耀等.应用GIS技术研制矿产资源评价系统[J].地球科学-中国地质大学学报,1999,24(5):157-163
    [11]尹建忠2004,多源信息综合分析在矿产资源潜力评价中的应用--以四川大川地区铜镍矿产资源为例,成都理工大学硕士论文
    [12]肖克炎,张晓华,李景朝.全国重要矿产总量预测方法[J].地学前缘,2007,14(5):20-26.
    [13]叶玉丰.基于GIS技术的矿产资源规划管理信息系统[J].地质与资源,2004,13(1):52-64.
    [14]张洪岩,王软敏,周成虎,等.“数字地球”与地理信息科学[J].地球信息科学,2001(4):124.
    [15]宋国耀,张晓华,肖克炎.矿产资源潜力评价的若干问题[J].中国地质,1999.
    [16]赵鹏大,陈永清,刘吉平.地质异常成矿预测理论与实践.武汉:中国地质大学出版社.1999
    [17]肖克炎,张晓华,王四龙等.矿产资源GIS评价系统.北京:地质出版社.2000
    [18]Cook, D.R., The Evolution of Mineral Exploration Technology-Past, Present, and Future, Integrated Methods in Exploration and Discovery,1993
    [19]F. P. Agterberg, G. F. Bonham etc. Computer Application in Resource Estimation Prediction and Assessment for Metals and Petroleum. Pergamon Press,1990
    [20]宋国耀,张晓华,肖克炎,等.矿产资源评价的理论和GIS技术[J].物探化探技术,1999,21(3):199-205.
    [21]云南省地质矿产局,云南区域地质志[M],北京,地质出版社,1990
    [22]李厚民,毛景文,张长青.2009.滇东北峨眉山玄武岩铜矿研究.北京:科学出版社.
    [23]柳贺昌,林文达.1999.滇东北铅锌银矿床规律研究.云南大学出版社.
    [24]张志斌,李朝阳,涂光炽,夏斌,韦振权.川、滇、黔接壤地区铅锌矿床产出的大地构造演化背景及成矿作用.大地构造与成矿学2006,30(3):343-354
    [25]柳贺昌.峨眉山玄武岩与铅锌成矿[J].地质与勘探,1995,31(4):1-7.
    [26]刘洪滔.滇东北铅、锌、银矿床成矿地球化学机制与地质-地球化学找矿模型研究:[硕士学位论文].长沙:中南工业大学,2000
    [27]柳贺昌.滇、川、黔铅锌成矿区的构造控矿[J].云南地质,1995,14(3):173-189.
    [28]王峰,滇东北铅锌多金属矿区成矿规律与找矿资源潜力分析, 云南冶金,2010,8,39(4):3-8
    [29]张长青,余金杰,毛景文等.密西西比型(MVT)铅锌矿床研究进展.矿床地质,2009,28(2):195-210
    [30]韩润生等.2006.构造成矿动力学及隐伏矿定位预测——以云南会泽超大型铅锌(银、锗)矿床为例.北京:科学出版社.
    [31]张云湘,骆耀南,杨春喜.1988.攀西裂谷.北京:地质出版社,1一466.
    [32]杨应选,柯成熙,林方成,李忠雄,管士平.1994.康滇地轴东缘铅锌矿床成因及成矿规律.成都:四川科技出版社,1-175.
    [33]黄智龙,李文博,陈进,许德如,韩润生,刘从强.2004.云南会泽超大型铅锌矿床C,O同位素地球化学.大地构造与成矿学,28(1):53-59.
    [34]云南省彝良县国土资源局,云南省彝良县地质与矿产[M],张泰身2004
    [35]贵州省地质矿产局,贵州省区域地质志[M],北京,地质出版社,1987
    [36]贵州一0八地质队四分队,威宁幅区域地质调查报告[M],1973
    [37]云南省地质局第二区域地质测量大队,镇雄幅区域地质调查报告[M],1976
    [38]云南省地质局区域地质调查队,昭通幅区域地质调查报告[M],1978
    [39]云南省地方志编纂委员会,云南省志卷四,地质矿产志[M],昆明:云南人民出版社,1997
    [40]马更生,胡彬,韩润生等.毛坪铅锌矿床地质地球化学特征. 见:第二届全国应用地球化学学术讨论会论文专辑(摘要、全文)微量元素R型因子分析结果.地质与勘探,2004,40(5):43-48
    [41]胡彬,韩润生,马德云等.云南毛坪铅锌矿区Ⅰ号矿体分布区断裂构造岩稀土元素地球化学特征及找矿意义.地质地球化学,2003,31(4):22-28
    [42]邹海俊,韩润生,胡彬等.云南昭通毛坪铅锌矿床成矿物质来源的新证据-NE向断裂构造
    [44]胡彬.云南昭通毛坪铅锌矿床地质地球化学特征及隐伏矿预测:[硕士学位论文].昆明:昆明理工大学,2004
    [45]周高明,李本禄.云南毛坪铅锌矿床地质特征及成因初探.西部探矿工程,2005,(3):75-77
    [46]王超伟,李元,罗海燕等.云南毛坪铅锌矿床的成因探讨.昆明理工大学学报(理工版),2009.34(1):7-11
    [47]管士平,李忠雄.1999.康滇地轴东缘岩石与铅锌矿石稀土元素地球化学研究.地质地球化学。27(3):5—16.
    [47]Pohl C and Genderen J L Van..1998 Multisensor image fusion in remote sensing:concepts. Methods and applications [J].International Journal of Remote Sensing.19 (5):823-854.
    [48]Ranchin T and Wald L.1993. The wavelet transform for the analysis of remotely sensed images [J]. International Journal of Remote Sensing.14 (3):615-619.
    [49]Ranchin T and Wald L.2000. Fuision of high spatial and spectral resolution images:the ARSIS concept and its implementation [J].Photogrammetric Engineering & Remote Sensing.66 (1): 49-61.
    [50]Saraf A K.1999. IRS-1C-LISS-Ⅲ and Pan data fusion:an approach to improve remote sensing based mapping techniques [J].International Journal of Remote Sensing.20 (10):1929-1934.
    [51]Schetselaar E M.1998. Fusion by the HIS transform:should we use cylindrical or spherical coordinates [J].International Journal of Remote Sensing.19 (4):759-765.
    [52]Senthil A K and Majumder K L.2001. Majumder Information fusion in tree classifiers [J].International Journal of Remote Sensing.22 (5):861-869.
    [53]刘燕君,金丽芳.矿产信息的遥感地面模式.北京:地质出版社.1993
    [54]刘燕君.遥感找矿的原理和方法.北京:冶金工业出版社.1991
    [55]李铁芳.遥感图像的数字处理原理及应用.昆明:云南科技出版社.1987
    [56]庄培仁,赵不亿.遥感技术及地质应用研究.北京:地质出版社.1986
    [57]张樵英,闯立峰.遥感图像目视地质解译方法.北京:地质出版社.1986
    [58]宁书年.遥感图像的处理与应用.北京:地震出版社.1995
    [59]谭海樵.遥感与非遥感地质信息复合应用中的计算机处理.北京:地质出版社.1995
    [60]杨世瑜,论遥感图像的影像线-环结构.西南矿产地质.1997,32(5):33-35
    [61]王晓鹏,谢志清,伍跃中.西昆仑塔什库尔干地区遥感找矿异常提取方法研究.地质找矿论丛.2002,17(2):137-139
    [62]张玲召.易门成矿区影像线-环结构及其成矿预测:[硕士学位论文].昆明:昆明理工大 学.1997
    [63]杨世瑜.论线环等级体制.西南矿产地质.1994,12(5):63-65
    [64]王学仁.地质数据的多变量统计分析.科学出版社.1982
    [65]陈永清,刘红光.初论地质异常数字找矿模型.地球科学-中国地质大学学报.2001,26(2):129-133
    [66]秦德先,燕永锋,洪托,高建国.矿产资源的充分合理利用与矿床数学-经济模型研究.矿产地质.2000.6,14(77):143-145
    [67]赵鹏大,姜作勤.数学地质和地质信息.北京:地质出版社.1999
    [68]侯景儒,郭光裕.矿床统计预测及地质统计学的理论与应用.北京:冶金工业出版社.1993
    [70]赵鹏大,陈永清.地质异常矿体定位的基本途径.地球科学-中国地质大学学报.1998,23
    [71]池顺都,赵鹏大.应用GIS圈定找矿可行地段和有利地段.地球科学-中国地质大学学报.1998,23(2):125-128
    [72]KVani, SShanmugavel, MM arruthach alam. Fusion of IRS-LISS III and PAN image susing different resolution ratios[C]. In:Paper Presented at the 22nd Asian Conference on Remote Sensing.2001.
    [73]Pat SChavez. Comparison of three different method stomerge multire solution and multispectral data:Landsat TM and SPOT panch romatic[J]. PE&RS1991,57(3):259-303.
    [74]Tapiador F J and Casanova J L.2002. An algorithm for the fusion of images based on Jaynes' maximum entropy method [J]. International Journal of Remote Sensing.23 (4):777-785.
    [75]Van der meer F.1997. What does multisensor image fusion add in terms of information content for visual interpretation [J]. International Journal of Remote Sensing.18 (2):445-452.
    [76]Agterberg F P, Bonham-Carter G F. Weights of evidence modeling:A new approach to mapping mineral potential statistical applications in the earth science[J]. Geological Survey of Canada,1990.
    [78]Bliss J D.1992.Developments in mineral deposit modeling[J].U.S. Geological Survey Bulletin, 2004:168
    [79]Woodall R.1994.Empiricism and concept in successful mineral exploration[J]. Australian Journal of Earth Sciences,41(1):1~10
    [80]Cox D P,Singer D A.1986.Mineral deposit models[J].U.S.Geological Survey Bulletin, 1693:379
    [81]Knox-Robinson C M, Wybom L A I.1997,Towards a holistic exploration strategy:Using geographic information systems as a tool to enhance exploration[J].Australian journal of earth sciences,44:453~463
    [82]Watson C P, Rencz A N. Bonham-Carte G F.1989.Geographic information system are being applied to mineral resource assessment in Northem New Brunswiek[J], GEOS,18(1)
    [83]Japues L A, Wyborn L A I,1994. Gallagbe R. The role of geographic information system, empirical modeling and expert systems in metallogenic research [A].12th Australian Geological Convention, Geological Society of Australia Abstract (No.37) [s.l.]:196~197
    [84]Knox-Robinson C M, Wybom L A I.1997.Towards a holistic exploration strategy:Using geographic information systems as a tool to enhance exploration[J].Australian journal of earth sciences,44:453~463
    [85]王全明,方一平.矿产资源调查评价中的GIS.中国地质.2001,28(4):38-44
    [86]范永香.成矿预测中成矿规律研究的几个问题.地质与勘探.1982,18(5):12-17
    [87]卢作祥,范永香,刘辅臣.成矿规律和成矿预测学.武汉:中国地质大学出版社.1988
    [88]陈毓川.当代矿产资源勘查评价的理论与方法.北京:地震出版社.1999
    [90]翟裕生,肖克炎等.成矿预测方法.北京:地质出版社.1997
    [91]程裕祺,陈毓川,赵一鸣.初论矿床成矿系列问题.中国地质科学院院报.1979,1(1):33-58

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