山东栖霞—大柳行地区金矿资源潜力评价

doi:10.11872/j.issn.1005-2518.2020.01.037

Abstract

Abstract:

Jiaodong area is the largest gold-producing area in China，and its gold prospecting has been receiving great attention.Among them，Qixia-Daliuxing area is located in the Qixia-Penglai gold ore metallogenic belt in central Jiaodong，which is an important gold metallogenic area in Jiaodong.Based on the basic geological data，research degree and geological conditions in this area，this paper conducts prediction and evaluation of mineral resources.The gold resources in Qixia-Daliuxing area were predicted by the integrated information mineralization series prediction method.Compared with other methods，this method can make full use of relevant geological data，and has a targeted extraction of geological information.At the same time，it has a stronger ability to comprehensively use computers for calculations，and can carry out more three-dimensional research.Therefore，it’s better to guide the prospection in this area.In this work，the formation mechanism，metallogenic regularity，ore-controlling conditions and prospecting indicators of the gold deposits in Daliuxing-Qixia area were summarized through in-depth analysis of a large amount of data obtained，combined with typical deposit research.Comprehensive geological，geophysical and geochemical information was used to guide the prediction of mineralization in the area and the prediction of deep and edge mineralization of known deposits.We analyzed the gold ore metallogenic model and regional metallogenic model by research of typical ore deposits.Based on the metallogenic factors in the Daliuxing-Qixia area，combined with regional metallogenic regularities，ore-controlling conditions，metallogenic geological conditions and types of deposit genesis，the geological forecasting factors were divided and the prediction model was established to further accurately predict the resource potential of the ore-exploring target area.The qualitative prediction，quantitative prediction and extrapolation estimation of the gold resources in the study area were carried out by using feature analysis method，comprehensive geological information method and limited extrapolation of known borehole data.The study area is divided into 4 orefield-level gold deposit metallogenic prediction areas and 27 minimum prediction units，and the qualitative prediction is mainly based on the feature analysis method.There are 8 A-level areas，12 B-level areas，5 C-level areas and 2 D-level areas.The geological body volume method was used to predict the resource amount.A total of 27 prospecting target areas are delineated in the study area.The predicted amount of gold metal(334?) was 2 810 380 kg，including the identified gold resource reserves of 3 106 321 kg and unidentified forecast gold metal quantity (334?) of 24 140 510 kg.

Key words: gold mine, resource potential evaluation, comprehensive information, evaluation model, Qixia-Daliuxing area, Shandong Province

CLC Number:

P618.51

Xin HUANG,Qian SONG,Yongjun WANG,Lijun SHEN,Yuzhen ZHU,Chao SUN. Evaluation of Gold Resource Potential in Qixia-Daliliuxing Area，Shandong Province[J].Gold Science and Technology, 2020, 28(1): 21-31.

Figures/Tables 11

Fig.1

Fig.2

Table 1

Fig.3

Table 2

Table 3

Table 4

Fig.4

Fig.5

Fig.6

Fig.7

References 22

1	王世称，刘玉强，伊丕厚，等.山东省金矿床及金矿床密集区综合信息成矿预测[M].北京：地质出版社，2003.
	Wang Shicheng，Liu Yuqiang，Yi Pihou，et al.Comprehensive Information Metallogenic Prediction of Gold Deposits and Gold Deposits Dense Areas in Shandong Province [M].Beijing：Geological Publishing House，2003.
2	赵鹏大，胡旺亮，李紫金，等.矿床统计预测[M].北京：地质出版社，1983.
	Zhao Pengda，Hu Wangliang，Li Zijin，et al.Statistical Prediction of Ore Deposits[M].Beijing：Geological Publishing House，1983.
3	叶天竺.固体矿产预测评价方法技术[M].北京：中国大地出版社，2004.
	Ye Tianzhu.Techniques for Prediction and Evaluation of Solid Minerals[M].Beijing：China Land Publishing House，2004.
4	王世称，范继璋，杨永华.矿产资源评价[M].长春：吉林科学技术出版社，1990.
	Wang Shicheng，Fan Jizhang，Yang Yonghua.Evaluation of Mineral Resources[M].Changchun：Jilin Science and Technology Press，1990.
5	王世称，王於天.综合信息解译原理与矿产预测图编制方法[M].长春：吉林大学出版社，1989.
	Wang Shicheng，Wang Yutian.Comprehensive Information Interpretation Principles and Mineral Forecast Mapping Method[M].Changchun：Jilin University Press，1989.
6	王世称，陈永良，夏立显.综合信息矿产预测理论与方法[M].北京：科学出版社，2000：183-203.
	Wang Shicheng，Chen Yongliang，Xia Lixian.Theory and Method of Comprehensive Information Mineral Prediction [M].Beijing：Science Press，2000：183-203.
7	范贤斌，王凯，次永鹏，等.山东省七宝山白垩纪火山机构及矿产[J].上海国土资源，2015，36（4）：78-82，88.
	Fan Xianbin，Wang Kai，Yongpeng Ci，et al.Cretaceous volcanic institutions and mineral resources of the Qibao Moutain，Shandong Province[J].Shanghai Land and Resources，2015，36（4）：78-82，88.
8	刘玉强，李洪喜，黄太岭，等.山东省金铁煤矿床成矿系列及成矿预测[M].北京：地质出版社，2004.
	Liu Yuqiang，Li Hongxi，Huang Tailing，et al.Metallogenic Series and Metallogenic Prediction of Gold，Iron and Coal Deposits in Shandong Province[M].Beijing：Geological Publishing House，2004.
9	张蕴璞，吕以发，赵惠傅，等.山东掖县北部覆盖地区焦家式金矿成矿地质条件及成矿方向[C]//中国金矿主要类型区域成矿条件文集（5）.北京：地质出版社，1988：46-84.
	Zhang Yunpu，Yifa Lü，Zhao Huifu，et al.Metallogenic geological conditions and metallogenic direction of Jiaojia type gold deposit in the northern coverage area of Yexian County，Shandong Province[C]//An Anthology of Metallogenic Conditions of Major Types of Gold Deposits in China （5）.Beijing：Geological Publishing House，1988：46-84.
10	吕古贤，郭涛，刘杜鹃.玲珑—焦家式金矿构造地质特征及成矿构造物理化学参量因子分析——以阜山金矿区为例[J].地球学报，2002，23（5）：409-416.
	Guxian Lü，Guo Tao，Liu Dujuan.Geological and structural characteristics of the Linglong-Jiaojia type gold deposits and factor analysis of their metallogenic tectonic physicochemical parameters-Exemplified by the Fushan gold deposit[J].Acta Geoscientia Sinica，2002，23（5）：409-416.
11	沈远超，谢宏远，李光明，等.山东蓬家夼金矿的基本地质特征及找矿方向[J].地质与勘探，1998，34（5）：3-7，13.
	Shen Yuanchao，Xie Hongyuan，Li Guangming，et al.Geology and prospecting of the Pengjiakuang gold deposit，Shandong[J].Geology and Prospecting，1998，34（5）：3-7，13.
12	孙景贵，胡受奚，赵懿英.初论胶东地区金矿成矿模式[J].矿床地质，2000，19（1）：26-36.
	Sun Jinggui，Hu Shouxi，Zhao Yiying.Discussion on gold mineralization model in the study area[J].Mineral Deposits，2000，19（1）：26-36.
13	王吉珺，冯文涛.玲珑金矿床特征和成矿模式[J].地质找矿论丛，1991，6（2）：18-35.
	Wang Jijun，Feng Wentao.The Linglong gold ore deposit and the metallogenic model[J].Contributions to Geology and Mineral Resources Research，1991，6（2）：18-35.
14	成秋明.非线性成矿预测理论：多重分形奇异性—广义自相似性—分形谱系模型与方法[J].地球科学，2006，31（3）：337-348.
	Cheng Qiuming.Singularity generalized self similarity fractal spectrum (3S) models[J].Earth Science，2006，31（3）：337-348.
15	范永香.初论内生金属矿床矿区地质预测的主要途径[J].地球科学，1984（4）：107-116.
	Fan Yongxiang.A preliminary discussion on the main ways to geological predict of mineral areas of endogenic metallic deposits[J].Earth Science，1984（4）：107-116.
16	孙国胜，李绪俊，姚凤良，等.玲珑金矿田矿物组合与地球化学分带及矿体定位预测意义[J].地质与勘探，2002，38（4）：28-32.
	Sun Guosheng，Li Xujun，Yao Fengliang，et al.Significance of mineral assemblage and geochemical zoning on the orebodies prospecting in linglong gold orefield [J].Geology and Prospecting，2002，38（4）：28-32.
17	孔庆存，宋玉国，邓永高，等.玲珑金矿田矿脉深部成矿预测方法[J].地质找矿论丛，1987，2（4）：77-83.
	Kong Qingcun，Song Yuguo，Deng Yonggao,et al.Deep metallogenic prediction method of the veins in Linglong gold ore field the predict method of ore bodies in depths in Linglong gold ore field[J].Contributions to Geology and Mineral Resources Research，1987，2（4）：77-83.
18	李京濂，徐兴业，扈守全.玲珑金矿田台上金矿床台上矿段矿化规律及深部成矿预测[C]//山东黄金集团有限公司矿山地质论文集.北京：地震出版社，2001：150-158.
	Li Jinglian，Xu Xingye，Hu Shouquan.Mineralization regularity and deep metallogenic prediction of the upper-stage ore deposit of the Taishang gold deposit in Linglong gold ore field[C]//Mine Geology Collection of Shandong Gold Group Corporation Limited.Beijing：Seismological Press，2001：150-158.
19	林文蔚，殷秀兰.水岩反应中成矿流体的浓缩理论在矿量预测中的应用[J].矿床地质，1998，17（增）：1051-1054.
	Lin Wenwei，Yin Xiulan.Application of the theory of concentration of ore-forming fluids in water-rock reaction in ore prediction[J].Mineral Deposits，1998，17（Supp.）：1051-1054.
20	李德亭，孙之夫，张锐，等.山东焦家金矿床深部成矿预测与找矿效果对比[J].地质找矿论丛，2002，17（2）：107-115.
	Li Deting，Sun Zhifu，Zhang Rui，et al.Ore prediction at depth of jiaojia au deposit and the exploration engineering results[J].Contributions to Geology and Mineral Resources Research，2002，17（2）：107-115.
21	李士先，王建收.胶东“玲珑—焦家式”金矿资源潜力与找矿[J].山东国土资源，2006，22（12）：36-41.
	Li Shixian，Wang Jianshou.Potentiality and ore exploration of Linglong-Jiaojia type gold resource in Jiaodong area[J].Land and Resources in Shandong Province，2006，22（12）：36-41.
22	路东尚，周云生.招平断裂带金矿地质资源潜力与勘查方略[C]//中国金都招远国际金矿地质与勘查学术论坛论文集.北京：地震出版社，2006：11-27.
	Lu Dongshang，Zhou Yunsheng.The potential of geological resources and exploration strategy of gold deposit in Zhaoping fault zone[C]//Proceedings of China Jindu Zhaoyuan International Gold Geology and Exploration Academic Forum.Beijing：Seismological Press，2006：11-27.

Related Articles 15

[1]	Fei LI,Ziqiang CHEN. Process Design Optimization and Application of a Dressing and Metallurgy Pilot Plant in Qinghai [J]. Gold Science and Technology, 2020, 28(1): 142-147.
[2]	Jizhou WANG,Zhouquan YAN,Lei XU,Kan LI,Yuanmao LI,Yaowen ZHENG,Huaitao WANG,Yuxi WANG. Potential Evaluation of Pegmatite-type Lithium-Beryllium Mineral Resources in Dahongliutan，Xinjiang [J]. Gold Science and Technology, 2019, 27(6): 802-815.
[3]	Wenping ZHANG, Mingming CAI, Chao XU. Process Mineralogy of a Gold-bearing Primary Ore [J]. Gold Science and Technology, 2019, 27(5): 770-776.
[4]	Jiayuan CAO,Fengshan MA,Jie GUO,Guodong ZHANG,Zhaoping LI. Study on Subsidence Prediction of Inclined Orebody Cut and Fill Mining in Seabed [J]. Gold Science and Technology, 2019, 27(4): 522-529.
[5]	Xueliang DUAN,Fengshan MA,Haijun ZHAO,Jie GUO,Hongyu GU,Shuaiqi LIU. Study on Water Sources Identification and Mixing Ratios of Mine Water [J]. Gold Science and Technology, 2019, 27(3): 406-416.
[6]	Weiqing SUN,Shen LIU,Caixia FENG,Yan FAN,Yongchang LIU. Research on Ore-Control Conditions and Metallogenic Law of Gold Deposits in Central Zhaoping Fault，Eastern Shandong Province [J]. Gold Science and Technology, 2019, 27(3): 315-327.
[7]	Guowei LIU,Fengshan MA,Jie GUO,Yunlong DU,Chenglu HOU,Wei LI. Application of Multivariate Statistical Analysis to Identify Water Source in Coast Mine Area：As Example of Sanshandao Gold Mine [J]. Gold Science and Technology, 2019, 27(2): 207-215.
[8]	Yuanfeng DONG,Rongjun SI,Zhonglin XIANG,Chaochen FENG,Guoquan ZHANG,Yingmei ZHANG. Analysis of Mineralization Space in Guilaizhuang Gold Mining Area Based on Surpac Software [J]. Gold Science and Technology, 2019, 27(2): 163-171.
[9]	Ming WEI,Bin ZHAO,Rui WANG,Zhenxing PAN,Liguo CAO. Study on the Distribution of Mineral Grades Based on 3D Model：Taking Shaanxi Longtougou Gold Mine as an Example [J]. Gold Science and Technology, 2019, 27(2): 172-180.
[10]	Peijiao JU. Geological Characteristics and Ore-controlling Factors of Liyuan Gold Deposit， Shanxi Province [J]. Gold Science and Technology, 2018, 26(6): 706-717.
[11]	Pingtian MING,Guangshan JIANG. Present Situation and Research Progress of Independent Rock Gold Mine in Qinghai Province [J]. Gold Science and Technology, 2018, 26(5): 622-628.
[12]	Le AN,Hujun HE,Xingke YANG,Ke HAN,Bin LI,Guozhao HU. Construction of 3D Geological Model and Prospecting Prediction of Matigou Gold Deposit Based on Surpac [J]. Gold Science and Technology, 2018, 26(5): 586-595.
[13]	Mingchun SONG,Yingxin SONG,Zhengjiang DING,Shiyong LI. Jiaodong Gold Deposits：Essential Characteristics and Major Controversy [J]. Gold Science and Technology, 2018, 26(4): 406-422.
[14]	YANG Longwei, YANG Xingke, GAO Yaning, HE Hujun, CHU Nana, ZHANG Zhengmin. Three-dimensional Model and Location Prediction of Changgou Gold Deposit in Northern Hanyin of South Qinling Mountains [J]. Gold Science and Technology, 2018, 26(3): 270-278.
[15]	QU Hui, WANG Baiyi, WANG Jianmin, LI Chenglu, XU Guozhan, WANG Zhuo. Application of Soil Geochemical Survey in the Exploration of Yongxin Gold Deposit and Its Prospecting Effect [J]. Gold Science and Technology, 2018, 26(2): 143-152.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 10

[1]	LI Bin, JU Hai-Xiang, YANG Mu, DU Gao-Feng, HUI Ji-Kang, WANG Tian-Guo. [J]. J4, 2010, 18(4): 17 -21 .
[2]	JIANG Qi, WANG Rong-Chao. [J]. J4, 2010, 18(4): 37 -40 .
[3]	LIU Dong-Hai, LIU Xin-Hui. Research on the Characteristics of Pyrite and its Gold -bearing Properties of Zhaishang Oversized Gold Deposit in Western Qinling[J]. J4, 2010, 18(6): 8 -12 .
[4]	HUANG Jian-Jun, LI Tian-En, FAN Gong-Ke. Discussion on Geological Setting of Metallogenic and Prospecting Potentiality of Daxinganling Region[J]. J4, 2010, 18(6): 13 -17 .
[5]	ZHANG Chao, XIAO Xiao-Jiang. Geochemical Characteristics of Granite in Ningchanhe Area，North Qilian[J]. Gold Science and Technology, 2011, 19(1): 6 -10 .
[6]	HU Qin-Xia, CHEN Kai, CHEN Chao, ZHANG Ku-Xiao. Analysis on Geological Features and Metallogenic Regularities of Nacheng Silver Gold Deposit in Guangdong[J]. J4, 2011, 19(1): 16 -20 .
[7]	LIANG Chao, CHU Yan-Xiu. Metallogenetic Characteristics of Gold and Polymetallic in the South of Anhui Province[J]. J4, 2011, 19(1): 21 -27 .
[8]	YI Youchang, MA Cai, LI Yuelong, PAN Tong, LUO Cairang, WANG Chunying. THE PLATE TECTONICS ENVIRONMENT AND METALLOGENESIS WITHIN QINGHAI[J]. J4, 2007, 15(1): 1 -9 .
[9]	LI Gangzhu ，JIA Yuanqin ，ZHANG Biao ，CHEN Kena ，HU Peiqing. Metallogenic Process of the Baiyinhaer Gold Deposit[J]. J4, 2008, 16(3): 6 -12 .
[10]	LU Yaozu. Geological Characteristics and Prospecting Potential of the Antimony Gold Occurence in Longte[J]. J4, 2008, 16(3): 13 -16 .

变量序号	原变量序号	变量名称	变量权系数	变量序号	原变量序号	变量名称	变量权系数
1	40	重砂金异常	0.0765	15	13	NE构造（含推断构造）	0.0236
2	39	金矿（化）点	0.0710	16	7	中生代燕山早期郭家岭序列二长花岗岩	0.0231
3	42	重砂黄铁矿异常	0.0670	17	37	金矿中型	0.0229
4	33	化探异常Au（Ag）	0.0636	18	35	化探异常（As、Hg、Bi）	0.0226
5	34	化探异常（Cu、Pb、Zn）	0.0633	19	10	古元古代吕梁期双顶序列二长花岗质片麻岩	0.0185
6	41	重砂异常（Cu、Pb）	0.0605	20	6	中生代燕山早期郭家岭序列花岗闪长岩	0.0172
7	11	新太古代阜平期栖霞序列花岗质片麻岩	0.0578	21	19	正负场分界，鼻状区	0.0158
8	14	NNE向构造（含推断构造）	0.0541	22	20	负场（重力低、缓梯度带）	0.0150
9	28	正负磁场交界（正负均变场）	0.0367	23	36	化探异常（Sn、Mo）	0.0146
10	31	化探异常与金异常不套合	0.0305	24	3	古元古代粉子山群	0.0140
11	38	金矿小型	0.0300	25	9	新元古代玲珑序列二长花岗岩	0.0126
12	22	负场（重力低、鼻状区）	0.0290	26	26	正磁场	0.0117
13	32	化探异常与金异常套合	0.0284	27	18	正负场分界（缓梯度带）	0.0108
14	27	负磁场	0.0267

模型区	单元序号	单元名称	特征分析结果	Q聚类分析	数量化理论Ⅳ	对应分析	综合预测评价结果
村里集	1	郭家店最小预测区	A	A	B	A	A
	2	后丘山最小预测区	B	B	C	B	B
	8	车里张家最小预测区	B	A	B	B	B
	9	赵家村最小预测区	B	B	A	B	B
大柳行—黑岚沟	3	遇驾夼最小预测区	A	A	B	A	A
	4	宫家庄最小预测区	C	C	D	C	C
	5	西石硼最小预测区	A	B	B	B	B
	6	大柳行最小预测区	A	A	A	A	A
	7	陈家沟最小预测区	C	B	C	C	C
	10	前山顶—于家沟最小预测区	B	A	B	A	A
	12	黑岚沟—虎路线最小预测区	A	A	A	A	A
	13	肖古家最小预测区	C	C	D	C	C
台前—陡崖	14	艾山汤—上艾中最小预测区	B	C	C	B	B
	17	台前—陡崖最小预测区	A	A	A	A	A
	18	郭落庄最小预测区	C	D	D	D	D
	19	高家最小预测区	B	B	C	C	B
	23	孙疃最小预测区	B	D	B	C	D
马家窑	20	后夼最小预测区	B	B	C	C	B
	21	留家沟最小预测区	A	B	C	B	A
	22	马家窑最小预测区	A	A	B	A	A
	24	刘家河最小预测区	B	B	C	C	B
	25	十甲最小预测区	C	D	D	D	B
	26	林家庄最小预测区	C	C	B	C	B
未划归矿田	11	西林最小预测区	B	B	B	A	B
	15	吕家庄最小预测区	B	B	D	B	B
	16	庙后最小预测区	C	B	C	B	C
	27	唐家泊最小预测区	B	B	C	B	C

典型金矿床名称	查明资源量/kg	预测总面积/m²	预测总深度/m	含矿系数/（kg·m^-3）	预测资源量/kg	矿床资源总量合计/kg
黑岚沟	40 982	44 038 800	2 000	0.000055830	327 825	368 807
笏山	18 784	23 726 700	2 000	0.000016341	51 696	70 480
村里集	2 108	24 278 802	800	0.000001302	2 529	4 637
马家窑	10 062	4 796 100	1 000	0.000062941	22 137	32 199

模型区名称	模型区面积/m²	延深/m	体积含矿率/（kg·m^-3）	体积含矿率修正系数	模型区资源总量/kg
村里集预测区	16 000 000	1 000	0.000001302	0.1	9 273
大柳行—黑岚沟预测区	28 000 000	1 000	0.000055830	0.1	156 324
台前—陡崖预测区	26 000 000	1 000	0.000016341	0.1	12 876
马家窑预测区	7 500 000	1 000	0.000062941	0.1	7 724

Evaluation of Gold Resource Potential in Qixia-Daliliuxing Area，Shandong Province

RichHTML

PDF (PC)