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Gold Science and Technology ›› 2022, Vol. 30 ›› Issue (2): 179-195.doi: 10.11872/j.issn.1005-2518.2022.02.075

• Mineral Exploration and Resource Evaluation • Previous Articles     Next Articles

Soil Geochemical Characteristics and Prospecting Prediction of Shitouding Ore Section of Caojiawa Gold Deposit in Shandong Province

Jinlin HE1(),Jun LI1(),Huiling XU1,Lihui CAO2,Dehua SUN2   

  1. 1.Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China
    2.Caojiawa Gold Mine, Zhaoyuan 265400, Shandong, China
  • Received:2021-06-10 Revised:2021-12-02 Online:2022-04-30 Published:2022-06-17
  • Contact: Jun LI E-mail:1059984111@qq.com;1165978835@qq.com

Abstract:

Shitouding ore section of Caojiawa gold deposit is located at the footwall of Zhaoping fault belt in the northwestern Jiaodong gold concentration area.Field exploration and drilling found that this section has strong pyritic sericite alteration,which is the main symbol of ore-forming surrounding rocks in this area.It has good metallogenic prospects,but no breakthrough has been made in prospecting work.After carrying out 1∶10 000 soil geochemical survey,we used correlation analysis and R-type cluster analysis and other methods to study the distribution characteristics of element anomalies in the working area from the perspective of geostatistics.With previous geological data and current exploration situation,the anomalies were delineated and four target areas of H1~H4 were divided,all of which had good metallogenic prospects.Regarding the geochemical prediction and geophysical results,it is found that the variation coefficient of gold in H4 and H2 target areas was 0.976,and the average anomaly value was 4.9×10-9~5.3×10-9,which was consistent with the geophysical results.It is speculated that the anomaly is caused by ore.

Key words: soil geochemical survey, R-type cluster analysis, geochemical characteristics, prospecting potential, Caojiawa gold deposit

CLC Number: 

  • P618.51

Fig.1

Regional geological and distribution map of gold deposits in Jiaodong area (modified after Yang et al.,2014)"

Fig.2

Geological map of Caojiawa gold mine(a) and No.0 exploration line profile(b)"

Table 1

Measurement method of soil geochemical element"

元素测试方法
Sn、Ag二米光栅摄谱仪WPP2
AuICP-MS Nexion 2000B
As、Sb、Hg原子荧光仪AFS-8220,XGY-1011A
其余元素ICP-MS Nexion 2000B

Table 2

Parameter statistics of each element"

AuSnAgAsSbHgNiCuZnCoPbW
均值2.491.990.064.660.4013.0920.4813.6842.459.0522.701.33
σ11.090.360.022.060.154.715.623.759.712.803.520.25
σ21.090.360.022.060.154.715.623.759.712.803.520.25
CV10.980.320.810.440.380.540.280.300.270.360.220.25
CV20.440.180.290.440.380.360.270.270.230.310.160.19
背景值1.852.360.054.590.8511.7620.1612.9842.598.9723.161.73
下限4.662.710.098.780.6922.5131.7221.1861.8714.6429.751.84
衬度0.530.740.630.530.570.580.650.650.690.620.760.73
面积1.830.201.400.030.030.250.110.030.060.020.260.06
NAP值0.980.140.880.010.020.140.070.020.040.010.200.05
检测限0.50.50.010.50.115510150.1

Fig.3

Discrete diagram of element variation coefficient of soil geochemical measurement in Caojiawa gold mine"

Table 3

Correlation coefficient statistics of each element"

AuSnAgAsSbHgMoNiCuZnCoPbW
Au1.000.010.720.120.140.060.240.030.080.060.140.080.09
Sn0.011.000.020.320.310.170.120.250.280.170.210.040.21
Ag0.720.021.000.030.020.030.160.030.010.080.040.040.07
As0.120.320.031.000.970.300.410.720.720.550.670.340.36
Sb0.140.310.020.971.000.300.430.720.730.560.670.320.33
Hg0.060.170.030.300.301.000.140.320.210.200.250.070.21
Mo0.240.120.160.410.430.141.000.390.390.240.430.160.27
Ni0.030.250.030.720.720.320.391.000.790.580.810.180.43
Cu0.080.280.010.720.730.210.390.791.000.510.720.160.45
Zn0.060.170.080.550.560.200.240.580.511.000.520.640.14
Co0.140.210.040.670.670.250.430.810.720.521.000.280.36
Pb0.080.040.040.340.320.070.160.180.160.640.281.000.01
W0.090.210.070.360.330.210.270.430.450.140.360.011.00

Fig.4

R-type cluster analysis pedigree of soil geochemical elements in Caojiawa gold mine"

Table 4

Total variance interpretation of soil geochemical samples"

组件初始特征值提取载荷平方和旋转载荷平方和
总计方差百分比/%累积/%总计方差百分比/%累积/%总计方差百分比/%累积/%
15.5145.9345.935.5145.9345.934.2235.1435.14
21.4111.7957.711.4111.7957.712.0517.1252.26
31.2910.7268.431.2910.7268.431.5312.7264.98
40.877.2475.670.877.2475.671.2810.6975.67
50.746.1381.80
60.655.4487.24
70.554.5491.78
80.463.8195.59
90.221.8797.46
100.161.3398.78
110.120.9699.74
120.030.26100.00

Table 5

Load matrix of variance maximum rotation factor for soil geochemical samples"

元素因子
F1F2F3F4
Au0.030.210.160.87
Sn0.45-0.030.510.03
Ag0.08-0.28-0.460.67
As0.680.390.370.14
Sb0.680.400.370.12
Hg-0.20-0.10-0.810.02
Ni0.890.200.12-0.08
Cu0.900.190.140.03
Zn0.500.740.11-0.06
Co0.830.340.080.03
Pb0.100.880.050.08
W0.71-0.310.220.13

Fig.5

Anomaly diagram of each element"

Fig.6

Comprehensive anomaly diagram of each element"

Fig.7

Contour anomaly map for factor score"

Fig.8

Schematic diagram of ore-forming fluid migration in the study area"

Table 5

Statistics of metallogenic element parameters in target area"

Au/(×10-9Ag/(×10-6Hg/(×10-9面积 /km2
平均值最大值NAP值平均值最大值NAP值平均值最大值NAP值
H15.39.741.130.110.221.1215.028.01.240.15
H24.99.571.050.090.191.0122.825.21.010.18
H34.79.981.010.713.410.4611.522.20.510.067
H44.68.190.980.060.100.6619.328.60.860.11

Fig.9

Target area prediction map"

Fig.10

Geochemical profile of 38# exploration line"

Fig.11

Prediction of geophysical exploration target area"

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