Geochemical Characteristics of Primary Halos and Deep Prospecting Prediction of the Shijia Gold Deposit in Penglai, Shandong Province

doi:10.19657/j.geoscience.1000-8527.2021.01.26

Abstract

Abstract:

In order to predict and evaluate the deep prospecting potential of the Shijia gold deposit in Penglai of Shandong Province and to prolong the service life of the mine, this paper aims to describe the geochemical cha-racteristics of primary halos in the deposit and to discuss the deep prospecting potential of the deposit. Analysis of the characteristics of element association indicates that the combined elements of the orebodies and near-ore halos include Au, Ag, Cu, Pb, Zn, S, and Te, those of the front halos are Hg, As, Sb, Ba, and those of the tail halos consist of Mo, W, and Sn. The characteristics of element anomalies for the ore vein 326 show that the front and near-ore halos are dominant in the south, and the front and tail halos are dominant in the north while the near-ore halos is weak. The orebody is overall characterized by plunging southward at depth. The reverse zoning and coexistence of front halos and tail halos appear in the axial zoning sequence of primary halos along the prospecting lines 36 and 84. Combined with the characteristics of vertical oscillation and fluctuation of geochemical parameters, it is suggested that the ore bodies formed during multiple mineralization stages and may extend to the depth with blind ore bodies. Comprehensive analyses show that the southern section of the ore vein 326 is favorable for mineralization with a good potential for prospecting space in its deep sites. Although the deep mineralization in the northern section is weakened, the coexistence of front and tail halo elements indicates that there still may exist blind orebodies in its deep space.

Key words: geochemical characteristic, primary halo, deep prospecting prediction, Shijia gold deposit, Penglai in Shandong Province

CLC Number:

ZHANG Yingshuai, GU Xuexiang, ZHANG Yongmei, WANG Jialin, FENG Liqiang, GE Zhanlin, HE Yu. Geochemical Characteristics of Primary Halos and Deep Prospecting Prediction of the Shijia Gold Deposit in Penglai, Shandong Province[J]. Geoscience, 2021, 35(01): 258-269.

Figures/Tables 11

References 39

[1]	BEUS A A, GRIGORIAN S V. Geochemical Exploration Methods for Mineral Deposits[M]. Wilmette, Illinois: Applied Pubishing Ltd., 1977: 1-287.
[2]	邵跃. 矿床元素原生分带的研究及其在地球化学找矿中的应用[J]. 地质与勘探, 1984,20(2):47-55.
[3]	李惠. 热液金矿床原生叠加晕的理想模式[J]. 地质与勘探, 1993,29(4):46-51.
[4]	LI H, WANG Z N, LI F G. Ideal models of superimposed primary halos in hydrothermal gold deposits[J]. Journal of Geochemical Exploration, 1995,55:329-336.
[5]	李惠, 张国义, 禹斌. 金矿区深部盲矿预测的构造叠加晕模型及找矿效果[M]. 北京: 地质出版社, 2006: 1-146.
[6]	成杭新, 赵传冬, 庄广民, 等. 四川大岩子铂-钯矿床的原生地球化学异常特征及盲矿预测[J]. 地质与勘探, 2007,43(4):56-60.
[7]	章永梅, 顾雪祥, 程文斌, 等. 内蒙古柳坝沟金矿床原生晕地球化学特征及深部成矿远景评价[J]. 地学前缘, 2010,17(2):209-221.
[8]	钱建平, 谢彪武, 陈宏毅, 等. 广西金山金银矿区成矿构造分析和构造地球化学找矿[J]. 现代地质, 2011,25(3):531-544.
[9]	李硕, 冷昌恩, 贺战朋. 内蒙古哈达门沟金矿13号矿体地质地球化学特征[J]. 现代地质, 2012,26(5):1095-1103.
[10]	申硕果, 叶荣, 王勇. 广西贵港六梅金矿原生晕及深部找矿[J]. 现代地质, 2012,26(5):1086-1094.
[11]	刘冲昊, 刘家军, 贾磊, 等. 陕西省略阳县铧厂沟金矿床主矿带地球化学原生晕特征及其地质意义[J]. 现代地质, 2013,27(1):1-12.
[12]	WANG C M CARRANZA E J M ZHANG S T, et al. Characterization of primary geochemical haloes for gold exploration at the Huanxiangwa gold deposit, China[J]. Journal of Geochemical Exploration, 2013,124:40-58.
[13]	玉苏普艾力·喀迪尔, 陈川, 刘雷. 新疆博格达东段多金属矿带化探原生晕与激电测量相结合的找矿效果[J]. 现代地质, 2015,29(3):713-720.
[14]	刘怀金, 杨永强, 孙引强, 等. 内蒙古边家大院铅锌银多金属矿床原生晕地球化学特征及深部找矿预测[J]. 地质找矿论丛, 2016,31(2):245-252.
[15]	叶红刚, 张德会, 余君鹏, 等. 北祁连鹰嘴山金矿床原生晕地球化学特征及深部矿体预测[J]. 矿物岩石地球化学通报, 2018,37(6):1163-1172.
[16]	吴松洋, 侯林, 丁俊, 等. 贵州泥堡金矿床原生晕特征及深部找矿预测——以Ⅲ-1号矿体为例[J]. 矿物岩石地球化学通报, 2018,37(4):674-686.
[17]	李爱民, 吕军阳, 张朋, 等. 山东蓬莱地区金矿成矿背景与成矿规律探讨[J]. 山东国土资源, 2014,30(7):14-17.
[18]	FENG L Q, GU X X, ZHANG Y M, et al. Geology and geochronology of the Shijia gold deposit, Jiaodong Peninsula, China[J]. Ore Geology Reviews, 2020,120:103432.
[19]	刘永祥, 张宝福, 姜作群, 等. 蓬莱大柳行金矿区水沟—时金河断裂构造特征及其找矿意义[J]. 黄金, 1998,19(11):3-7.
[20]	张强, 徐汝峰, 许方, 等. 山东省蓬莱大柳行地区金矿地质特征及找矿方向[J]. 地质找矿论丛, 2006,21(4):258-261.
[21]	张敬南, 桑学镇, 陆军波, 等. 山东省蓬莱市石家金矿区矿床地质特征及找矿标志[J]. 科技创新导报, 2016,13(6):34-35.
[22]	戚长谋. 元素地球化学分类探讨[J]. 长春地质学院学报, 1991,21(4):361-365.
[23]	孙莉, 肖克炎, 高阳. 彩霞山铅锌矿原生晕地球化学特征及深部矿产评价[J]. 吉林大学学报 (地球科学版), 2013,43(4):1179-1189.
[24]	周向科, 王建国, 刘荫椿, 等. 云南冬瓜林金矿床原生叠加晕特征与深部找矿[J]. 中国地质, 2016,43(5):1710-1720.
[25]	代军治, 钱壮志, 高菊生, 等. 小秦岭镰子沟金矿床构造叠加晕特征及深部预测[J]. 西北地质, 2017,50(4):166-175.
[26]	明添学, 唐忠, 李永平, 等. 云南巧家东坪铅锌矿床原生晕特征与找矿潜力[J]. 吉林大学学报(地球科学版), 2018,48(5):1394-1404.
[27]	王学仁. 地质数据的多变量统计分析[M]. 北京: 科学出版社, 1982: 1-407.
[28]	高惠璇. 应用多元统计分析[M]. 北京: 北京大学出版社, 2013: 1-408.
[29]	张彦艳, 王建新, 赵志, 等. R型聚类分析在成矿阶段划分中的应用——以桦甸大庙子—菜抢子金矿区为例[J]. 世界地质, 2006,25(1):29-38.
[30]	KONSTANTINOV M M, STRUJKOV S F. Application of indicator halos (signs of ore remobilization) in exploration for blind gold and silver deposits[J]. Journal of Geochemical Exploration, 1995,54(1):1-17.
[31]	PISON G, ROUSSEEUW P J, FILZMOSER P, et al. Robust factor analysis[J]. Journal of Multivariate Analysis, 2003,84(1):145-172.
[32]	邵跃, 傅学信. 热液矿床岩石测量(原生晕法)找矿[M]. 北京: 地质出版社, 1997: 1-62.
[33]	章永梅. 内蒙古柳坝沟—哈达门沟金矿田成因、控矿因素与找矿方向[D]. 北京: 中国地质大学(北京), 2012: 1-253.
[34]	CHILE J P, LIAO H T. Estimating the recoverable reserves of gold deposits: comparison between disjunctive Kriging and indicator Kriging[J]. Quantitative Geology and Geostatistics, 1993,5:1053-1064.
[35]	蒋敬业, 程建萍, 祁士华, 等. 应用地球化学[M]. 武汉: 中国地质大学出版社, 2006: 1-180.
[36]	郭万超, 陈学华. 峪耳崖金矿床元素地球化学地质统计分析[J]. 地质找矿论丛, 2002,17(1):63-72.
[37]	邢利琦, 刘炳璋. 矿床原生地球化学晕分带性研究[J]. 四川地质学报, 2011,31(4):489-495.
[38]	张方方, 王建平, 王臣, 等. 陕西双王金矿床轴(垂)向黄铁矿中微量元素变化规律及深部预测[J]. 中国地质, 2014,41(5):1650-1663.
[39]	李惠, 禹斌, 李德亮, 等. 化探深部预测新方法综述[J]. 矿产勘查, 2010,1(2):156-160.

元素	Hg	Au	Ag	Sn	As	Sb	Ba	Cu	Mo	Pb	Te	W	Zn
Au	-0.043	1
Ag	0.013	0.505	1
Sn	0.293	0.100	0.046	1
As	-0.003	0.218	0.369	0.020	1
Sb	0.021	0.376	0.890	-0.073	0.454	1
Ba	0.086	-0.124	-0.156	-0.011	-0.226	-0.191	1
Cu	0.166	0.557	0.505	0.303	0.295	0.420	-0.113	1
Mo	0.269	-0.015	-0.038	0.124	-0.004	-0.069	0.104	0.118	1
Pb	-0.046	0.306	0.591	-0.097	0.617	0.594	-0.137	0.285	-0.074	1
Te	0.085	0.378	0.321	0.325	0.167	0.186	-0.055	0.257	0.163	0.075	1
W	0.159	-0.037	-0.046	0.126	-0.042	0.069	0.089	0.132	0.095	-0.117	0.029	1
Zn	-0.096	0.305	0.494	-0.025	0.392	0.485	-0.167	0.335	-0.046	0.609	0.013	-0.141	1
S	0.187	0.172	0.335	0.285	0.831	0.365	-0.185	0.413	0.109	0.445	0.392	0.042	0.261

元素	Hg	Au	Ag	Sn	As	Sb	Ba	Cu	Mo	Pb	Te	W	Zn
Au	-0.043	1
Ag	0.013	0.505	1
Sn	0.293	0.100	0.046	1
As	-0.003	0.218	0.369	0.020	1
Sb	0.021	0.376	0.890	-0.073	0.454	1
Ba	0.086	-0.124	-0.156	-0.011	-0.226	-0.191	1
Cu	0.166	0.557	0.505	0.303	0.295	0.420	-0.113	1
Mo	0.269	-0.015	-0.038	0.124	-0.004	-0.069	0.104	0.118	1
Pb	-0.046	0.306	0.591	-0.097	0.617	0.594	-0.137	0.285	-0.074	1
Te	0.085	0.378	0.321	0.325	0.167	0.186	-0.055	0.257	0.163	0.075	1
W	0.159	-0.037	-0.046	0.126	-0.042	0.069	0.089	0.132	0.095	-0.117	0.029	1
Zn	-0.096	0.305	0.494	-0.025	0.392	0.485	-0.167	0.335	-0.046	0.609	0.013	-0.141	1
S	0.187	0.172	0.335	0.285	0.831	0.365	-0.185	0.413	0.109	0.445	0.392	0.042	0.261

元素	因子
元素	F1	F2	F3	F4	F5
Hg	-0.06	0.17	0.19	0.58	0.35
Au	0.62	-0.16	0.53	-0.12	-0.11
Ag	0.88	0.11	0.20	-0.05	0.02
Sn	-0.16	0.15	0.69	0.14	0.21
As	0.35	0.86	0.03	-0.07	-0.05
Sb	0.85	0.22	0.01	-0.08	0.16
Ba	-0.03	-0.33	-0.20	0.60	0.01
Cu	0.56	0.10	0.51	0.08	0.22
Mo	-0.05	0.07	0.18	0.74	-0.07
Pb	0.69	0.49	-0.16	-0.02	-0.14
Te	0.14	0.11	0.76	0.06	-0.12
W	0.0	-0.04	0.02	0.05	0.91
Zn	0.67	0.26	-0.11	-0.03	-0.19
S	0.20	0.86	0.33	0.07	0.06

元素	因子
元素	F1	F2	F3	F4	F5
Hg	-0.06	0.17	0.19	0.58	0.35
Au	0.62	-0.16	0.53	-0.12	-0.11
Ag	0.88	0.11	0.20	-0.05	0.02
Sn	-0.16	0.15	0.69	0.14	0.21
As	0.35	0.86	0.03	-0.07	-0.05
Sb	0.85	0.22	0.01	-0.08	0.16
Ba	-0.03	-0.33	-0.20	0.60	0.01
Cu	0.56	0.10	0.51	0.08	0.22
Mo	-0.05	0.07	0.18	0.74	-0.07
Pb	0.69	0.49	-0.16	-0.02	-0.14
Te	0.14	0.11	0.76	0.06	-0.12
W	0.0	-0.04	0.02	0.05	0.91
Zn	0.67	0.26	-0.11	-0.03	-0.19
S	0.20	0.86	0.33	0.07	0.06

元素	w(Hg)/ 10^-9	w_B/10^-6												w(S)/%
元素	w(Hg)/ 10^-9	Au	Ag	Cu	Pb	Zn	Te	As	Sb	Ba	Mo	W	Sn	w(S)/%
异常下限	12.3	0.79	3.11	39.4	644	1933	0.07	56.2	1.06	298	0.57	1.45	3.11	1.43