化探数据挖掘在金矿找矿及靶区优选中的应用——以甘肃玉石山地区为例
|
摘要
由于自然界中Au元素呈微粒状、不均匀状态分布,致使部分金矿床(点)没有与之对应的Au元素异常出现,增加了通过元素异常开展地质找矿和成矿预测研究的难度。本文依据地学大数据"查明数据间的相关关系,解决地质问题"这一基本思路,以甘肃玉石山地区化探数据为研究对象,建立起研究区全样本Au元素回归模拟模型和异常样本Au元素回归模拟模型,分别计算全样本Au元素回归理论值(Au Q)和异常样本的回归理论值(Au Y)。通过异常查证,在Au Q异常区发现金矿点1处,在Au Y异常区发现金矿点3处(一处达到小型规模),取得了很好的找矿效果。进一步对Au、Au Q、Au Y分别做正规化处理相加获得综合理论值(Au H),以Au H圈定的综合异常使研究区75%金矿床(点)分布在研究区7. 1%面积范围内,有效地缩小了找矿靶区的范围,解决了小范围研究区内因已知矿床(点)不足而无法开展定量找矿预测的难题。结合异常强度和地质背景分析,在研究区划分出3级共10个找矿靶区,为今后在该区找矿工作提供了基础依据。
Due to the uneven distribution of Au in the natural world,some gold deposits( or spots) do not have corresponding abnormalities in the ground surface,which makes it more difficult to carry out geological prospecting and metallogenic prediction through elemental anomaly investigation. Based on the basic principle of geosciences big data"identifying the correlation between data and solving geological problems",this paper takes the chemical prospecting data of the Yushishan area in Gansu Province as an example to establish a full-sample Au element regression simulation model and abnormal sample Au element regression simulation. By using this model,the full-sample Au regression theoretical value( Au Q) and the abnormal sample theoretical value( Au Y) are calculated. Through anomaly inspection,one gold occurence was found in the Au Q anomaly zone,and three gold deposits( one reaches small scale) were found in the Au Y anomaly zone,showing a good prospecting effect. The comprehensive theoretical values( Au H)were obtained by adding normalization to Au,Au Q and Au Y,respectively. By Au H delineated comprehensive anomaly analysis,75%of the gold deposits( spots) in the study area were found distributed within an area of 7. 1% of the study area. The scope of the orefinding target area has been narrowed down,and thus the difficulty in conducting quantitative ore-finding predictions in a small-scale research area due to a shortage of known deposits( spots) has been solved. Combined with analysis of the anomalous intensity and geological backgrounds,a total of 10 prospecting target areas in 3 levels were divided into the prospecting target area,which provided the basis for future prospecting work in this area.
Due to the uneven distribution of Au in the natural world,some gold deposits( or spots) do not have corresponding abnormalities in the ground surface,which makes it more difficult to carry out geological prospecting and metallogenic prediction through elemental anomaly investigation. Based on the basic principle of geosciences big data"identifying the correlation between data and solving geological problems",this paper takes the chemical prospecting data of the Yushishan area in Gansu Province as an example to establish a full-sample Au element regression simulation model and abnormal sample Au element regression simulation. By using this model,the full-sample Au regression theoretical value( Au Q) and the abnormal sample theoretical value( Au Y) are calculated. Through anomaly inspection,one gold occurence was found in the Au Q anomaly zone,and three gold deposits( one reaches small scale) were found in the Au Y anomaly zone,showing a good prospecting effect. The comprehensive theoretical values( Au H)were obtained by adding normalization to Au,Au Q and Au Y,respectively. By Au H delineated comprehensive anomaly analysis,75%of the gold deposits( spots) in the study area were found distributed within an area of 7. 1% of the study area. The scope of the orefinding target area has been narrowed down,and thus the difficulty in conducting quantitative ore-finding predictions in a small-scale research area due to a shortage of known deposits( spots) has been solved. Combined with analysis of the anomalous intensity and geological backgrounds,a total of 10 prospecting target areas in 3 levels were divided into the prospecting target area,which provided the basis for future prospecting work in this area.
引文
Bonham-Carter GF.1994.Geographic Information Systems for Geoscientists:Modelling with GIS.New York:Elsevier,1-398
Carranza EJM.2009.Geochemical Anomaly and Mineral Prospectivity Mapping in GIS.Oxford:Elsevier Science Ltd.,1-351
Cheng QM.2007.Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu,Yunnan Province,China.Ore Geology Reviews,32(1-2):314-324
Cheng QM and Agterberg FP.2009.Singularity analysis of ore-mineral and toxic trace elements in stream sediments.Computers&Geosciences,35(2):234-244
Cheng QM,Zhao PD,Chen JG,Xia QL,Chen ZJ,Zhang SY,Xu DY,Xie SY and Wang WL.2009a.Application of singularity theory in prediction of tin and copper mineral deposits in Gejiu district,Yunnan,China:Weak information extraction and mixing information decomposition.Earth Science(Journal of China University of Geosciences),34(2):232-242(in Chinese with English abstract)
Cheng QM,Zhao PD,Zhang SY,Xia QL,Chen ZJ,Chen JG,Xu DYand Wang WL.2009b.Application of singularity theory in prediction of tin and copper mineral deposits in Gejiu district,Yunnan,China:Information integration and delineation of mineral exploration targets.Earth Science(Journal of China University of Geosciences),34(2):243-252(in Chinese with English abstract)
Cheng QM,Xia QL,Li WC,Zhang SY,Chen ZJ,Zuo R and Wang W.2010.Density/area power-law models for separating multi-scale anomalies of ore and toxic elements in stream sediments in Gejiu mineral district,Yunnan Province,China.Biogeosciences Discussions,7(3):4273-4293
Fan HK,Wen YW,Jiang XY and Zhu YJ.2008.Geochemical debris exploration method and its effect in the semi-arid desert and grassland area,east-central Inner Mongolia.Geology and Prospecting,44(5):64-69(in Chinese with English abstract)
Gong JJ,Li FL,Yang GG,Ou ZD and Zhang S.2013.The application of box-plot method to determining geochemical anomaly thresholds based on VBA procedure in Excel.Geophysical and Geochemical Exploration,37(5):926-933(in Chinese with English abstract)
Guo HD.2014.Big data,big science,big discover:Review of CODATAworkshop on big data for international scientific programmes.Bulletin of Chinese Academy of Sciences,29(4):500-506(in Chinese with English abstract)
Kang M,Cen K,Wu YB,Shen YL and Ye R.2004.1∶50000geochemical prospecting methods and techniques in Gobi desert landscape in the Beishan area,northwestern China.Geology and Prospecting,40(3):64-68(in Chinese with English abstract)
Li JC.1995.A discussion on the being formal of gold in hydrothermal fluid.Journal of Precious Metallic Geology,4(4):307-311(in Chinese with English abstract)
Li SM and Yao SZ.2005.The determination of thresholds by the fractal method based on MAPGIS.Acta Geoscientica Sinica,26(2):187-190(in Chinese with English abstract)
Li T,Yuan HY,Wu SX and Cheng XF.1999.Regional element abundances of continental crustobodies in China.Geotectonica et Metallogenia,23(2):101-107(in Chinese with English abstract)
Li XH,Yuan F,Zhou TF,Deng YF,Zhang DY,Xu C and Zhang RF.2015.Mineral prospectivity mapping and geochemical anomalies identification based on multifractal modeling in the TaerbahataiSawuer area,Xinjiang.Acta Petrologica Sinica,31(2):426-434(in Chinese with English abstract)
Luo JM,Zhang Q,Song BT,Wang XW,Yang ZM,Zhao YQ and Liu SY.2017.Application of integrated geophysical and geochemical data processing to metallogenic target zone quantitative prediction and optimization.Bulletin of Mineralogy,Petrology and Geochemistry,36(6):886-890(in Chinese with English abstract)
Mayer-Sch9nberger V and Cukier K.2013.Big Data:A Revolution That Will Transform How We Live,Work,and Think.In:Sheng YY and Zhou T(trans.).Hangzhou:Zhejiang People’s Publishing House,1-261(in Chinese)
Pan GC and Harris DP.2000.Information Synthesis for Mineral Exploration.New York:Oxford University Press,1-461
Teng JW,Liu YS and Pi JL.2016.Development of science and technology,times echo of big data:Acquisition,innovation and reconstruction of new information of earth sciences.Progress in Geophysics,31(1):1-22(in Chinese with English abstract)
Wang B and Wu C.2017.Study on the innovation research of safety science based on the safety big data.Science and Technology Management Research,37(1):37-43(in Chinese with English abstract)
Wang WL,Zhao J and Cheng QM.2011.Analysis and integration of geoinformation to identify granitic intrusions as exploration targets in southeastern Yunnan district,China.Computers&Geosciences,37(12):1946-1957
Wang YX,Luo JM,Wang JR,Luo YZ,Wang XW,Zhang Q,Jia ZLand Wang HQ.2018.The gold prospecting targets quantitative optimization based on information of the magmatic rocks(oxide)in Dunhuang block,Gansu Province.Acta Petrologica Sinica,34(2):319-325(in Chinese with English abstract)
Xin CL,Dong K,Meng J,Ma WY,Yang GL and Yang D.2014.Extraction and assessment of geochemical element composite anomalies of Aorulegeng area,in Hejing County,Xinjiang.Journal of Lanzhou University(Natural Sciences),50(4):447-454(in Chinese with English abstract)
Yang JG,Xie CL,Wang XH,Xie B,Wang L and Wang JP.2012.Basic tectonic framework and features of metallogenic series in Beishan area,Gansu Province.Geological Bulletin of China,31(2-3):422-438(in Chinese with English abstract)
Zhang Q and Zhou YZ.2017.Big data will lead to a profound revolution in the field of geological science.Chinese Journal of Geology,52(3):637-648(in Chinese with English abstract)
Zhao PD,Hu WL and Li ZJ.1983.Deposit Statistical Prediction.Beijing:Geological Publishing House,125-144(in Chinese)
Zhou YZ,Chen S,Zhang Q,Xiao F,Wang SG,Liu YP and Jiao ST.2018.Advances and prospects of big data and mathematical geoscience.Acta Petrologica Sinica,34(2):255-263(in Chinese with English abstract)
Zuo RG,Cheng QM,Agterberg FP and Xia QL.2009.Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data,a case study from Gangdese,Tibet,western China.Journal of Geochemical Exploration,101(3):225-235
成秋明,赵鹏大,陈建国,夏庆霖,陈志军,张生元,徐德义,谢淑云,王文磊.2009a.奇异性理论在个旧锡铜矿产资源预测中的应用:成矿弱信息提取和复合信息分解.地球科学―中国地质大学学报,34(2):232-242
成秋明,赵鹏大,张生元,夏庆霖,陈志军,陈建国,徐德义,王文磊.2009b.奇异性理论在个旧锡铜矿产资源预测中的应用:综合信息集成与靶区圈定.地球科学―中国地质大学学报,34(2):243-252
范红科,温银维,姜羡义,朱亚军.2008.内蒙古中东部半干旱荒漠草原景观区岩屑地球化学测量的方法技术及应用效果.地质与勘探,44(5):64-69
龚晶晶,李方林,杨刚刚,欧智德,张爽.2013.基于Excel VBA实现箱图剔除法确定化探异常下限.物探与化探,37(5):926-933
郭华东.2014.大数据大科学大发现---大数据与科学发现国际研讨会综述.中国科学院院刊,29(4):500-506
康明,岑况,吴悦斌,沈镛立,叶荣.2004.北山戈壁荒漠景观1∶5万地球化学测量方法研究.地质与勘探,40(3):64-68
李景春.1995.金在热液流体中存在形式的讨论---“纳米效应”在成矿理论中的应用.贵金属地质,4(4):307-311
李随民,姚书振.2005.基于MAPGIS的分形方法确定化探异常.地球学报,26(2):187-190
黎彤,袁怀雨,吴胜昔,程先富.1999.中国大陆壳体的区域元素丰度.大地构造与成矿学,23(2):101-107
李晓晖,袁峰,周涛发,邓宇峰,张达玉,许超,张若飞.2015.新疆塔尔巴哈台-萨吾尔地区多重分形地球化学异常提取及成矿预测.岩石学报,31(2):426-434
罗建民,张琪,宋秉田,王晓伟,杨忠明,赵彦庆,刘升有.2017.物化探信息综合处理在找矿靶区定量优选中的应用.矿物岩石地球化学通报,36(6):886-890
维克托·迈尔-舍恩伯格,肯尼思·库克耶.2013.大数据时代:生活、工作与思维的大变革.见:盛杨燕,周涛译.杭州:浙江人民出版社,1-261
滕吉文,刘有山,皮娇龙.2016.科学与技术的发展与大数据的时代反响---地球科学新信息的获取与创新再造.地球物理学进展,31(1):1-22
王秉,吴超.2017.基于安全大数据的安全科学创新发展探讨.科技管理研究,37(1):37-43
王玉玺,罗建民,王金荣,罗云之,王晓伟,张琪,贾志磊,王海琦.2018.甘肃敦煌地块基于岩浆岩(氧化物)信息的金找矿靶区定量优选.岩石学报,34(2):319-325
辛存林,董凯,孟健,马维云,杨国林,杨东.2014.新疆和静熬如勒更地区矿化元素组合异常提取及评价.兰州大学学报(自然科学版),50(4):447-454
杨建国,谢春林,王小红,谢燮,王磊,王静平.2012.甘肃北山地区基本构造格局和成矿系列特征.地质通报,31(2-3):422-438
张旗,周永章.2017.大数据正在引发地球科学领域一场深刻的革命---《地质科学》2017年大数据专题代序.地质科学,52(3):637-648
赵鹏大,胡旺亮,李紫金.1983.矿床统计预测.北京:地质出版社,125-144
周永章,陈烁,张旗,肖凡,王树功,刘艳鹏,焦守涛.2018.大数据与数学地球科学研究进展---大数据与数学地球科学专题代序.岩石学报,34(2):255-263
Carranza EJM.2009.Geochemical Anomaly and Mineral Prospectivity Mapping in GIS.Oxford:Elsevier Science Ltd.,1-351
Cheng QM.2007.Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu,Yunnan Province,China.Ore Geology Reviews,32(1-2):314-324
Cheng QM and Agterberg FP.2009.Singularity analysis of ore-mineral and toxic trace elements in stream sediments.Computers&Geosciences,35(2):234-244
Cheng QM,Zhao PD,Chen JG,Xia QL,Chen ZJ,Zhang SY,Xu DY,Xie SY and Wang WL.2009a.Application of singularity theory in prediction of tin and copper mineral deposits in Gejiu district,Yunnan,China:Weak information extraction and mixing information decomposition.Earth Science(Journal of China University of Geosciences),34(2):232-242(in Chinese with English abstract)
Cheng QM,Zhao PD,Zhang SY,Xia QL,Chen ZJ,Chen JG,Xu DYand Wang WL.2009b.Application of singularity theory in prediction of tin and copper mineral deposits in Gejiu district,Yunnan,China:Information integration and delineation of mineral exploration targets.Earth Science(Journal of China University of Geosciences),34(2):243-252(in Chinese with English abstract)
Cheng QM,Xia QL,Li WC,Zhang SY,Chen ZJ,Zuo R and Wang W.2010.Density/area power-law models for separating multi-scale anomalies of ore and toxic elements in stream sediments in Gejiu mineral district,Yunnan Province,China.Biogeosciences Discussions,7(3):4273-4293
Fan HK,Wen YW,Jiang XY and Zhu YJ.2008.Geochemical debris exploration method and its effect in the semi-arid desert and grassland area,east-central Inner Mongolia.Geology and Prospecting,44(5):64-69(in Chinese with English abstract)
Gong JJ,Li FL,Yang GG,Ou ZD and Zhang S.2013.The application of box-plot method to determining geochemical anomaly thresholds based on VBA procedure in Excel.Geophysical and Geochemical Exploration,37(5):926-933(in Chinese with English abstract)
Guo HD.2014.Big data,big science,big discover:Review of CODATAworkshop on big data for international scientific programmes.Bulletin of Chinese Academy of Sciences,29(4):500-506(in Chinese with English abstract)
Kang M,Cen K,Wu YB,Shen YL and Ye R.2004.1∶50000geochemical prospecting methods and techniques in Gobi desert landscape in the Beishan area,northwestern China.Geology and Prospecting,40(3):64-68(in Chinese with English abstract)
Li JC.1995.A discussion on the being formal of gold in hydrothermal fluid.Journal of Precious Metallic Geology,4(4):307-311(in Chinese with English abstract)
Li SM and Yao SZ.2005.The determination of thresholds by the fractal method based on MAPGIS.Acta Geoscientica Sinica,26(2):187-190(in Chinese with English abstract)
Li T,Yuan HY,Wu SX and Cheng XF.1999.Regional element abundances of continental crustobodies in China.Geotectonica et Metallogenia,23(2):101-107(in Chinese with English abstract)
Li XH,Yuan F,Zhou TF,Deng YF,Zhang DY,Xu C and Zhang RF.2015.Mineral prospectivity mapping and geochemical anomalies identification based on multifractal modeling in the TaerbahataiSawuer area,Xinjiang.Acta Petrologica Sinica,31(2):426-434(in Chinese with English abstract)
Luo JM,Zhang Q,Song BT,Wang XW,Yang ZM,Zhao YQ and Liu SY.2017.Application of integrated geophysical and geochemical data processing to metallogenic target zone quantitative prediction and optimization.Bulletin of Mineralogy,Petrology and Geochemistry,36(6):886-890(in Chinese with English abstract)
Mayer-Sch9nberger V and Cukier K.2013.Big Data:A Revolution That Will Transform How We Live,Work,and Think.In:Sheng YY and Zhou T(trans.).Hangzhou:Zhejiang People’s Publishing House,1-261(in Chinese)
Pan GC and Harris DP.2000.Information Synthesis for Mineral Exploration.New York:Oxford University Press,1-461
Teng JW,Liu YS and Pi JL.2016.Development of science and technology,times echo of big data:Acquisition,innovation and reconstruction of new information of earth sciences.Progress in Geophysics,31(1):1-22(in Chinese with English abstract)
Wang B and Wu C.2017.Study on the innovation research of safety science based on the safety big data.Science and Technology Management Research,37(1):37-43(in Chinese with English abstract)
Wang WL,Zhao J and Cheng QM.2011.Analysis and integration of geoinformation to identify granitic intrusions as exploration targets in southeastern Yunnan district,China.Computers&Geosciences,37(12):1946-1957
Wang YX,Luo JM,Wang JR,Luo YZ,Wang XW,Zhang Q,Jia ZLand Wang HQ.2018.The gold prospecting targets quantitative optimization based on information of the magmatic rocks(oxide)in Dunhuang block,Gansu Province.Acta Petrologica Sinica,34(2):319-325(in Chinese with English abstract)
Xin CL,Dong K,Meng J,Ma WY,Yang GL and Yang D.2014.Extraction and assessment of geochemical element composite anomalies of Aorulegeng area,in Hejing County,Xinjiang.Journal of Lanzhou University(Natural Sciences),50(4):447-454(in Chinese with English abstract)
Yang JG,Xie CL,Wang XH,Xie B,Wang L and Wang JP.2012.Basic tectonic framework and features of metallogenic series in Beishan area,Gansu Province.Geological Bulletin of China,31(2-3):422-438(in Chinese with English abstract)
Zhang Q and Zhou YZ.2017.Big data will lead to a profound revolution in the field of geological science.Chinese Journal of Geology,52(3):637-648(in Chinese with English abstract)
Zhao PD,Hu WL and Li ZJ.1983.Deposit Statistical Prediction.Beijing:Geological Publishing House,125-144(in Chinese)
Zhou YZ,Chen S,Zhang Q,Xiao F,Wang SG,Liu YP and Jiao ST.2018.Advances and prospects of big data and mathematical geoscience.Acta Petrologica Sinica,34(2):255-263(in Chinese with English abstract)
Zuo RG,Cheng QM,Agterberg FP and Xia QL.2009.Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data,a case study from Gangdese,Tibet,western China.Journal of Geochemical Exploration,101(3):225-235
成秋明,赵鹏大,陈建国,夏庆霖,陈志军,张生元,徐德义,谢淑云,王文磊.2009a.奇异性理论在个旧锡铜矿产资源预测中的应用:成矿弱信息提取和复合信息分解.地球科学―中国地质大学学报,34(2):232-242
成秋明,赵鹏大,张生元,夏庆霖,陈志军,陈建国,徐德义,王文磊.2009b.奇异性理论在个旧锡铜矿产资源预测中的应用:综合信息集成与靶区圈定.地球科学―中国地质大学学报,34(2):243-252
范红科,温银维,姜羡义,朱亚军.2008.内蒙古中东部半干旱荒漠草原景观区岩屑地球化学测量的方法技术及应用效果.地质与勘探,44(5):64-69
龚晶晶,李方林,杨刚刚,欧智德,张爽.2013.基于Excel VBA实现箱图剔除法确定化探异常下限.物探与化探,37(5):926-933
郭华东.2014.大数据大科学大发现---大数据与科学发现国际研讨会综述.中国科学院院刊,29(4):500-506
康明,岑况,吴悦斌,沈镛立,叶荣.2004.北山戈壁荒漠景观1∶5万地球化学测量方法研究.地质与勘探,40(3):64-68
李景春.1995.金在热液流体中存在形式的讨论---“纳米效应”在成矿理论中的应用.贵金属地质,4(4):307-311
李随民,姚书振.2005.基于MAPGIS的分形方法确定化探异常.地球学报,26(2):187-190
黎彤,袁怀雨,吴胜昔,程先富.1999.中国大陆壳体的区域元素丰度.大地构造与成矿学,23(2):101-107
李晓晖,袁峰,周涛发,邓宇峰,张达玉,许超,张若飞.2015.新疆塔尔巴哈台-萨吾尔地区多重分形地球化学异常提取及成矿预测.岩石学报,31(2):426-434
罗建民,张琪,宋秉田,王晓伟,杨忠明,赵彦庆,刘升有.2017.物化探信息综合处理在找矿靶区定量优选中的应用.矿物岩石地球化学通报,36(6):886-890
维克托·迈尔-舍恩伯格,肯尼思·库克耶.2013.大数据时代:生活、工作与思维的大变革.见:盛杨燕,周涛译.杭州:浙江人民出版社,1-261
滕吉文,刘有山,皮娇龙.2016.科学与技术的发展与大数据的时代反响---地球科学新信息的获取与创新再造.地球物理学进展,31(1):1-22
王秉,吴超.2017.基于安全大数据的安全科学创新发展探讨.科技管理研究,37(1):37-43
王玉玺,罗建民,王金荣,罗云之,王晓伟,张琪,贾志磊,王海琦.2018.甘肃敦煌地块基于岩浆岩(氧化物)信息的金找矿靶区定量优选.岩石学报,34(2):319-325
辛存林,董凯,孟健,马维云,杨国林,杨东.2014.新疆和静熬如勒更地区矿化元素组合异常提取及评价.兰州大学学报(自然科学版),50(4):447-454
杨建国,谢春林,王小红,谢燮,王磊,王静平.2012.甘肃北山地区基本构造格局和成矿系列特征.地质通报,31(2-3):422-438
张旗,周永章.2017.大数据正在引发地球科学领域一场深刻的革命---《地质科学》2017年大数据专题代序.地质科学,52(3):637-648
赵鹏大,胡旺亮,李紫金.1983.矿床统计预测.北京:地质出版社,125-144
周永章,陈烁,张旗,肖凡,王树功,刘艳鹏,焦守涛.2018.大数据与数学地球科学研究进展---大数据与数学地球科学专题代序.岩石学报,34(2):255-263