Articoli di riviste: "Geochemical prospecting"

1

Chen, Zhen, and Mingde Lang. "Research on Prospecting Prediction Based on Evidence Weight." Atmosphere 13, no. 12 (December 17, 2022): 2125. http://dx.doi.org/10.3390/atmos13122125.

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There are many small and medium-sized orogenic copper deposits in the Jinman–Lanping area of Yunnan. In order to standardize mining, long-term planning, and unified management, it is necessary to further delineate prospecting areas. In order to improve the efficiency of prospecting, a data-driven approach is established. This paper uses the weight of evidence model to make prospecting predictions, and it then delineates the prospective prospecting area. The relevant evidence layers in the weight of evidence model are geochemical anomalies and remote sensing iron staining anomalies. Among them, the geochemical anomaly layer mainly uses the concentration-area (C-A) fractal model to separate the geochemical background and anomaly acquisition. The remote sensing iron-stained anomaly layer mainly uses bands (1, 4, 5, 7), and bands (1, 3, 4, 5) were combined for principal component analysis to extract abnormal iron staining. Finally, using the weight of evidence model, the spatial element layers (evidence layers) from different sources were combined, and the interaction between them was analyzed. It is pointed out that the area has good prospects for prospecting, and the prospective prospecting area was thus delineated.

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Liu, Hanliang, Bimin Zhang, Xueqiu Wang, Zhixuan Han, Baoyun Zhang, and Guoli Yuan. "Application of the Fine-Grained Soil Prospecting Method in Typical Covered Terrains of Northern China." Minerals 11, no. 12 (December 8, 2021): 1383. http://dx.doi.org/10.3390/min11121383.

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In recent years, mineral resources near the surface are becoming scarce, causing focused mineral exploration on concealed deposits in covered terrains. In northern China, covered terrains are widespread and conceal bedrock sequences and mineralization. These represent geochemical challenges for mineral exploration in China. As a deep-penetrating geochemical technology that can reflect the information of deep anomalies, the fine-grained soil prospecting method has achieved ideal test results in arid Gobi Desert covered terrain, semi-arid grassland covered terrain, and alluvium soil covered terrain of northern China. The anomaly range indicated by the fine-grained soil prospecting method is very good with the known ore body location. The corresponding relationship can effectively indicate deep ore bodies and delineate anomalies in unknown areas. Overall, the fine-grained soil prospecting method can be applied to geochemical prospecting and exploration in covered terrains.

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Garrett, R. G., C. Reimann, D. B. Smith, and X. Xie. "From geochemical prospecting to international geochemical mapping: a historical overview." Geochemistry: Exploration, Environment, Analysis 8, no. 3-4 (November 2008): 205–17. http://dx.doi.org/10.1144/1467-7873/08-174.

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Gan, Jie, Hui Li, Zhengwei He, Yu Gan, Junqing Mu, Huan Liu, and Lin Wang. "Application and Significance of Geological, Geochemical, and Geophysical Methods in the Nanpo Gold Field in Laos." Minerals 12, no. 1 (January 14, 2022): 96. http://dx.doi.org/10.3390/min12010096.

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As the main part of the Indosinian metallogenic province in the eastern part of the Tethys metallogenic domain, Southeast Asia has experienced multiple stages of tectonic magnetic activities accompanied by the formation of rich mineral resources. However, due to the undeveloped economy, low degree of geological work, dense vegetation cover, and lack of obvious prospecting marks, traditional geological prospecting work in the area is not optimal. Consequently, the combination of high-precision geophysics and geochemistry has become an important method of looking for ore bodies deep underground in this area. The Nanpo gold deposit is a hydrothermal gold deposit that occurs in the Indosinian felsic volcanic rock body, and its mineralization is closely related to felsic magmatism. This study carried out comprehensive geophysical and geochemical exploration methods of soil geochemical survey, induced polarization (IP) survey, and audio-frequency magnetotelluric (AMT) survey. Based on the characteristics of geophysical and geochemical anomalies, geological inference, and interpretation, the integrated geophysical and geochemical prospecting criteria of the ore area have been determined: The large-scale and overlapping Au-Ag-Cu anomaly area in the host felsic magmatic rocks (mainly diorite, monzodiorite and granodiorite) is a favorable metallogenic area. Two anomalies, P1–H1 and P3–H6, with the best metallogenetic conditions and the deepest extensions of the known ore bodies, were further selected as engineering verification targets. After the study of the drill core, gold (mineralized) bodies consistent with the anomalies were found, indicating that the combined method is suitable for the exploration of mineral resources in this area, and the prospecting effect is good. At the same time, the metallogenic prediction shows that the deep part of the mining area still has great metallogenic prospects and prospecting potential. The characteristics of geophysical and geochemical anomalies and prospecting experience in the study area can provide references for the prospecting of hydrothermal gold deposits in the Luang Prabang–Loei structural belt.

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Dong, Xinzhu, Guangfei Guo, Yang Huang, Weihe Chen, Zhiyuan Ni, Jiandong Meng, and Pingru Li. "Extraction and Interpretation of Gold Exploration Indexes in Jinya-Mingshan Area Based on Association Rule Algorithm and Statistical Analysis." Minerals 15, no. 2 (February 11, 2025): 165. https://doi.org/10.3390/min15020165.

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Geochemical data serve as crucial references for prospecting, and the effective extraction of prospecting information from such data determines the success rate of exploration. In the era of big data, novel prospecting methods based on geochemical data offer new ideas for exploring various ore deposits. By employing advanced data analysis techniques like machine learning and artificial intelligence, it becomes possible to identify elusive patterns and trends that are challenging to detect using traditional approaches, thereby significantly enhancing the success rate of prospecting endeavors. In this study, we selected drainage sediment geochemical data (Au, Ba, Mo, Sb, V, W, Zn) in the Jinya-Mingshan area to explore potential Carlin-type gold deposits. Traditional geochemical processing methods along with an association rule algorithm were employed for conducting comprehensive data mining analysis. The results demonstrate that the element combinations within the study area can be categorized into strong positive associations and enrichments (Mo, Sb, Zn) associated with vulcanization, strong negative associations, and decarbonation-related migration elements (Ba), as well as strong positive associations and weakly enriched elements (W) and weak positive associations and weakly enriched elements (V) not significantly related to mineralization. In comparison to Mo and Sb, which are closely linked to Au as revealed by cluster analysis and factor analysis, the association rule algorithm also reveals a relatively close correlation between Ba, Zn, and Au. Based on the element correlations obtained through the association rule algorithm, a new prospecting index was constructed for the study area. This new index is more reasonable than traditional indices. In conclusion, the association rule algorithm possesses unique advantages in information mining of geochemical data and holds promising applications in geological exploration.

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Wang, Qiang, Xueqiu Wang, Zhizhong Cheng, Bimin Zhang, Zezhong Du, Taotao Yan, Huixiang Yuan, Xiaolei Li, Yu Qiao, and Hanliang Liu. "Geogas-Carried Metal Prospecting for Concealed Ore Deposits: A Review of Case Studies in China." Minerals 13, no. 12 (December 16, 2023): 1553. http://dx.doi.org/10.3390/min13121553.

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Geogas-carried metal prospecting, an integral part of deep-penetrating geochemistry, is potentially effective in the geochemical exploration of concealed ore deposits. However, its principles and applicability remain controversial. This study summarizes and discusses the progress in geogas-carried metal prospecting in China. The method comprises three constituents: geogas, nanoparticles, and their vertical transportation. Researchers have failed to determine the exact contributions of different sources of geogas. Studies on Pb isotopes, rare earth element patterns of geogas, the comparisons between metals in soil, geogas, and ore geochemistry, and characteristics of nanoscale metals in earthgas (NAMEG), confirmed the relationship between NAMEG and concealed ore deposits. A statistical analysis of field experiments and applications showed that geogas-carried metal prospecting is applicable for the geochemical exploration of magmatic and hydrothermal Cu, Au, Zn, Pb, U, Sn, and Ag deposits and is suitable for most geochemical landscapes except deserts and cold swamps. Finally, genetic models of NAMEG anomalies were constructed. High-permeability migration channels are critical in the formation of NAMEG anomalies over concealed ore deposits. Future work entails applying geogas-carried metal prospecting to certain types of ore deposits and geochemical landscapes and studying NAMEG to provide quantitative information for targeting concealed ore deposits.

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Liu, Bin, Xingtao Cui, and Xueqiu Wang. "The Delineation of Copper Geochemical Blocks and the Identification of Ore-Related Anomalies Using Singularity Analysis of Stream Sediment Geochemical Data in the Middle and Lower Reaches of the Yangtze River and Its Adjacent Areas, China." Minerals 13, no. 11 (October 31, 2023): 1397. http://dx.doi.org/10.3390/min13111397.

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The middle and lower reaches of the Yangtze River and its adjacent areas contain abundant mineral resources, especially porphyry–skarn–stratabound Cu–Au–Mo–Fe deposits, and still have great potential for mineral prospecting. In this paper, geochemical blocks and local singularity mapping methods were used to delineate the spatial distribution pattern of Cu and identify the geochemical anomalies related to Cu deposits. Six copper geochemical blocks, each with an area of more than 1000 km2, were all spatially consistent with the locations of the five Cu ore districts (Edongnan, Jiurui, Anqing-Guichi, Tongling, and Ningzhen) and one ore field (Dexing) in the study area. Thus, geochemical blocks delineated with low-density geochemical data can effectively track the locations of ore districts or large ore deposits. Most of the known Cu deposits in the study area were located in anomalous areas with singularity indices less than 1.741 in the Cu singularity map. The singularity analysis could reduce the anomalous areas and identify the geochemical anomalies related to Cu deposits effectively. Geochemical blocks combining a local singularity mapping method is an effective tool for identifying prospecting targets.

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Galyuk, S. V., and O. V. Menchinskaya. "Methodological support of design prospecting geochemical works." Prospect and protection of mineral resources, no. 11 (2022): 59–65. http://dx.doi.org/10.53085/0034-026x_2022_11_59.

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Äyräs, Matti. "Geochemical gold prospecting at Vinsanmaa, northern Finland." Journal of Geochemical Exploration 39, no. 3 (March 1991): 379–86. http://dx.doi.org/10.1016/0375-6742(91)90023-n.

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Sleptsova, M. I., and A. I. Kalinin. "Geochemical Signs of Oil and Gas Potential in the North-East of Yakutia." IOP Conference Series: Earth and Environmental Science 988, no. 3 (February 1, 2022): 032034. http://dx.doi.org/10.1088/1755-1315/988/3/032034.

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Abstract Currently, intensive research is being carried out on the oil and gas content of the eastern Arctic region of Russia. This article discusses geochemical studies carried out in the northeastern part of the Republic of Sakha (Yakutia). The northeastern part of the Republic of Sakha (Yakutia) is promising for hydrocarbons. This article presents the results of surface geochemical sampling of rocks, waters, and gases performed in Eastern Yakutia under the program of direct oil and gas prospecting. Geochemical studies have shown the promising oil and gas content in the north-eastern part of the Republic of Sakha (Yakutia), which provide an opportunity to carry out prospecting and discovery of predicted deposits of hydrocarbon raw materials.

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Yue, Wei Hao, and Jian Guo Gao. "The Deposit Features and Comprehensive Information Prospecting Model of Mengyejing Potash Deposits in Yunnan Province." Advanced Materials Research 588-589 (November 2012): 2136–39. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.2136.

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Mengyejing potash deposit lies in brown-red and variedness salting-in nagelfluh formation of Cenozoic Mengyejing formation which is located at the back-foreland basin of Lanping-Simao bidirectional arc zone, and it is one of the few large-scale solid potash deposits in China. By integrated study systematically, Mengyejing Potash Deposit’s different scales of mineralization geological anomalies information:geological, geophysical, geochemical, and salt spring chemistry and remote sensing were extracted. A comprehensive information prospecting model of Mengyejing potash deposit is established. Tentatively identified deposits prospecting model of Mengyejing formation, negative gravity anomaly, salt spring chemical anomaly and geochemical anomalies as the core and is of a positive significance for this type of deposit’s prospecting.

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Yang, Guang Shu, Yong Feng Yan, Peng Yu Feng, and Jun Wei Zhang. "Metallogenic Geological Conditions and Prospecting Indicators of the Carbonate-Hosted Pb-Zn Deposits in Northeastern Yunnan Province, China." Advanced Materials Research 962-965 (June 2014): 296–99. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.296.

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Based on large scale geological mapping, geological-section, tectonic and geochemical studies on the carbonate-hosted Pb-Zn deposits in NE Yunnan, the metallogenic geological conditions are discussed, and the ore-prospecting indicators are summarized. The Pb-Zn deposits have many common features, which are mainly controlled by the thrust fault-fold structures and lithological conditions. The ore-forming mechanism of them is similar to the MVT Pb-Zn deposit. The combination of thrust fault-fold structures and altered carbonate rocks with geochemical anomalies are good indicators for prospecting.

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Kotelnikov, A. E., V. V. Dyakonov, and A. L. Dergachev. "Exploration of overlapped endogenous mineralization on the basis of paleovolcanic reconstructions." Moscow University Bulletin. Series 4. Geology 1, no. 5 (January 29, 2022): 31–38. http://dx.doi.org/10.33623/0579-9406-2021-5-31-38.

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By these days issues of survey of blind and covered deposits are very actual. High affectivity of geological and prospecting abilities could be achieved only when complex studies have been done which allow to indicate structural elements of explores area and evaluate geological and geochemical potential of prospective areas. In the article the structural and geochemical criterion developed by authors is considered. Its use is preceded by definition of the structural and geological characteristic of the territory based on the method of paleovolcanic reconstruction. At the later stage areas, perspective for detection of an ore mineralization are outlined basing on localization of various type of a mineralization at specified structural units of paleovolcanic structures. Application of geochemical mapping within the perspective areas allows to estimate prospects of the areas, to allocate most perspective sites with their preliminary geochemical estimate.

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Wang, Dong, Yong Feng Yan, and Jiao Jiao Chen. "Application of Geophysical and Geochemical Exploration Results in Prospecting Prediction: Taking Pangjiagou-Xiajinbaogou Au-Ag Polymetallic Ore in Hebei Chengde as an Example." Advanced Materials Research 807-809 (September 2013): 2192–96. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.2192.

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Pangjiagou-xiajinbaogou Au-Ag polymetallic ore in Hebei Chengde magmatic activity is very strong, mainly Late Jurassic - Early Cretaceous of granite and Late Yanshanian alteration of acidic rocks, archean metamorphic rocks and Middle Proterozoic strata containing mainly gold seam. Studies show that the area is insignificant on main rock resistivity, and all kinds of mineral body, mineralized rocks Fs> 2.4%, gneiss containing high gold abundance, gold body, auriferous quartz veins are greater than 2.4% Fs,can be used as an indirect sign on geophysical prospecting. Sb, As, Pb, Ag, Au and other elements of the exception can be used as indirect signs on geochemical prospecting. After considering this area geophysical, geochemical characteristics analysis of, binding studies geological conditions, prospecting method using the analogy prediction target region, the success of the orebody found.

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Shirazi, Aref, Ardeshir Hezarkhani, Adel Shirazy, and Amin Beiranvand Pour. "Geochemical Modeling of Copper Mineralization Using Geostatistical and Machine Learning Algorithms in the Sahlabad Area, Iran." Minerals 13, no. 9 (August 27, 2023): 1133. http://dx.doi.org/10.3390/min13091133.

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Analyzing geochemical data from stream sediment samples is one of the most proactive tools in the geochemical modeling of ore mineralization and mineral exploration. The main purpose of this study is to develop a geochemical model for prospecting copper mineralization anomalies in the Sahlabad area, South Khorasan province, East Iran. In this investigation, 709 stream sediment samples were analyzed using inductively coupled plasma mass spectrometry (ICP-MS), and geostatistical and machine learning techniques. Subsequently, hierarchical analysis (HA), Spearman’s rank correlation coefficient, concentration–area (C–A) fractal analysis, Kriging interpolation, and descriptive statistics studies were performed on the geochemical dataset. Machine learning algorithms, namely K-means clustering, factor analysis (FA), and linear discriminant analysis (LDA) were employed to deliver a comprehensive geochemical model of copper mineralization in the study area. The identification of trace elements and the predictor composition of copper mineralization, the separation of copper geochemical communities, and the investigation of the geochemical behavior of copper vs. its trace elements were targeted and accomplished. As a result, the elements Ag, Mo, Pb, Zn, and Sn were distinguished as trace elements and predictors of copper geochemical modeling in the study area. Additionally, geochemical anomalies of copper mineralization were identified based on trace elements. Conclusively, the nonlinear behavior of the copper element versus its trace elements was modeled. This study demonstrates that the integration and synchronous use of geostatistical and machine learning methods can specifically deliver a comprehensive geochemical modeling of ore mineralization for prospecting mineral anomalies in metallogenic provinces around the globe.

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Yang, Fan, Shuyun Xie, Zhihong Hao, Emmanuel John M. Carranza, Yuntao Song, Qingqing Liu, Renting Xu, et al. "Geochemical Quantitative Assessment of Mineral Resource Potential in the Da Hinggan Mountains in Inner Mongolia, China." Minerals 12, no. 4 (March 31, 2022): 434. http://dx.doi.org/10.3390/min12040434.

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Studying surface geochemical anomalies is important for detecting the presence of mineral deposits. However, distinguishing inconspicuous geochemical anomalies is a challenge for geochemists. This paper studies geochemical quantitative prediction for Pb–Zn metallic mineral deposits by identifying inconspicuous surface geochemical anomalies mainly associated with the Permian and Jurassic strata in the middle-southern Da Hinggan Mountains metallogenic belt. Some new methods are employed to highlight weak surface geochemical anomalies. The weak surface geochemical anomalies of Pb and Zn are effectively highlighted by the average contrast values of Pb–Zn–Ag–Cd. The similarity coefficient with the large typical discovered deposits is used to identify new Pb–Zn mineralized anomalies and delineate new prospecting target areas. The denudation degree of mineral deposit is determined by the ratio of (W × Sn)/(As × Sb). The analogy method and areal productivity method are employed for resource prediction. Thirty-six prediction areas with Pb–Zn resources of 307.73 million tons are delineated. Five prediction areas are verified, and some new mineral deposits are proven by drilling. The verification results show that the predicted resources are very reasonable and credible. This paper is a successful case of quantitative prediction assessment of mineral resource potential, which can be used as a reference for future prospecting activities.

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Hovhannisyan, Arshavir, Dmitri Arakelyan, Harald Von der Osten, Pavol Hnila, Alessandra Gilibert, Varduhi Siradeghyan, and Arsen Bobokhyan. "‘Looking for the tombs of dragons’: preliminary results of archaeo-geochemical prospecting studies at Tirinkatar - Karmir Sar area, southern slopes of Mt Aragats, Armenia." ARAMAZD: Armenian Journal of Near Eastern Studies 14, no. 1-2 (January 1, 2020): 27–52. http://dx.doi.org/10.32028/ajnes.v14i1-2.970.

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An interdisciplinary archaeogeochemical research on vishaps (stone stelae also known as dragon stones) has been carried out for the first time in Armenia. The survey area is situated in the neighborhood of Tirinkatar and Karmir Sar volcanoes on southern slopes of Mt. Aragats. The geochemical prospecting studies have been realised on a high mountain meadow (2850 m asl) with 12 vishaps and numerous circular stone structures known as cromlechs. Five cromlechs excavated until now did not yield any human remains and the main aim of the geochemical prospection was to check whether other cromlechs detected by archaeological surface survey and by ground-penetrating radar contained burials. The geochemical haloes of some chemical elements indicate their anthropogenic character and a very high probability that some of the cromlechs were tombs.

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Timshanov, R. I., A. Yu Belonosov, and S. A. Sheshukov. "Geochemical surveys in different exploration and prospecting stages." Oil and gas geology = Geologiya nefti i gaza, no. 3 (July 2018): 103–9. http://dx.doi.org/10.31087/0016-7894-2018-3-103-109.

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Song, Yujiu, Pengfei Ding, Yuanming Cheng, Guangdao Hu, and Renduo Wang. "Application of universal kriging to geochemical prospecting data." Mathematical Geology 24, no. 6 (August 1992): 609–29. http://dx.doi.org/10.1007/bf00894228.

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Saenz, Guadalupe, and Nicholas E. Pingitore. "Surface organic geochemical prospecting for hydrocarbons: multivariate analysis." Journal of Geochemical Exploration 34, no. 3 (November 1989): 337–49. http://dx.doi.org/10.1016/0375-6742(89)90120-9.

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Rose, Arthur W. "Geochemical methods of prospecting for non-metallic minerals." Journal of Geochemical Exploration 41, no. 3 (November 1991): 387–88. http://dx.doi.org/10.1016/0375-6742(91)90010-r.

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Gao, Le, Yongjie Huang, Xin Zhang, Qiyuan Liu, and Zequn Chen. "Prediction of Prospecting Target Based on ResNet Convolutional Neural Network." Applied Sciences 12, no. 22 (November 11, 2022): 11433. http://dx.doi.org/10.3390/app122211433.

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In recent years, with the development of geological prospecting from shallow ore to deep and hidden ore, the difficulty of prospecting is increasing day by day, so the application of computer technology and new methods of geological and mineral exploration is paid more and more attention. The mining and prediction of geological prospecting information based on deep learning have become the frontier field of earth science. However, as a deep artificial intelligence algorithm, deep learning still has many problems to be solved in the big data mining and prediction of geological prospecting, such as the small number of training samples of geological and mineral images, the difficulty of building deep learning network models, and the universal applicability of deep learning models. In this paper, the training samples and convolutional neural network models suitable for geochemical element data mining are constructed to solve the above problems, and the model is successfully applied to the prediction research of gold, silver, lead and zinc polymetallic metallogenic areas in South China. Taking the Pangxidong research area in the west of Guangdong Province as an example, this paper carries out prospecting target prediction research based on a 1:50000 stream sediment survey original data. Firstly, the support vector machine (SVM) model and statistical method were used to determine the ore-related geochemical element assemblage. Secondly, the experimental data of geochemical elements were augmented and a dataset was established. Finally, ResNet-50 neural network model is used for data training and prediction research. The experimental results show that the areas numbered 9, 29, 38, 40, 95, 111, 114, 124, 144 have great metallogenic potential, and this method would be a promising tool for metallogenic prediction. By applying the ResNet-50 neural network in metallogenic prediction, it can provide a new idea for the future exploration of mineral resources. In order to verify the generality of the research method in this paper, we conducted experimental tests on the geochemical dataset of B area, another deposit research area in South China. The results show that 100% of the prediction area obtained by using the proposed method covers the known ore deposit area. This model also provides method support for further delineating the prospecting target area in study area B.

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Zuo, Renguang, and Bojun Yin. "Google Earth-aided visualization and interpretation of geochemical survey data." Geochemistry: Exploration, Environment, Analysis 22, no. 2 (March 2, 2022): geochem2021–079. http://dx.doi.org/10.1144/geochem2021-079.

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Geochemical prospecting is an important and effective approach for discovering mineral deposits. Collection, management, visualization, interpretation, modelling and publishing of geochemical survey data remain challenging. The main aim of this study is to illustrate the application of Google Earth in the visualization and interpretation of geochemical survey data using a dataset collected from the Daqiao district, Gansu Province, China. Google Earth, a free web-based program that provides a rich set of global images along with satellite and map data, can be applied to design geochemical sampling strategies, display geochemical sampling location landscapes, collect and manage geochemical survey data, visualize and publish 0D (point), 1D (profile), 2D (raster map) and 3D (superposition of multiple maps) geochemical maps, and interpret and model geochemical patterns using various Google Earth functions and the Keyhole Markup Language.Thematic collection: This article is part of the Applications of Innovations in Geochemical Data Analysis collection available at: https://www.lyellcollection.org/cc/applications-of-innovations-in-geochemical-data-analysis

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Zhu, Lihui, Runsheng Han, Yan Zhang, Hao Fu, Jianmin Luo, Yunzhi Luo, Taojie Dai, and Haidong Li. "Application of Multi-Source Data Mining Technology in the Optimization of Prospecting Target Areas for Copper Deposits in the Beishan Region of Gansu Province, China." Minerals 15, no. 5 (April 30, 2025): 467. https://doi.org/10.3390/min15050467.

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The effectiveness of geological prospecting depends on the accuracy of the prediction of the prospecting target areas. In comparison with the conventional qualitative method (Mineral Exploration and Development), the use of big data concepts and methods for the in-depth analysis of the potential value of geological information has emerged as an effective way to improve the accuracy of prospecting target area predictions. The Beishan area in Gansu Province, China, is a prominent polymetallic metallogenic belt in northwest China. In recent years, geologists have encountered challenges in achieving effective breakthroughs in prospecting through conventional methods. In this study, we apply the big data concepts and methods to analyze the geochemical and aeromagnetic data of the Beishan area and utilize a series of self-developed software to rectify errors in the original data. A new geochemical remediation plan is proposed for the main elements of ore formation, and on this basis, a copper ore prospecting model based on multi-source data information mining is established. The prospecting model is used to predict the formation of copper ore in the Beishan area, and 100 level I and II preferred target areas with significant prospecting significance have been identified. Level I and II preferred target areas account for 2.7% of the study area. Verified by field sampling, the actual mineralization rate of the level I target area is 39.47%. This study proves the effectiveness of the proposed multi-source data mining method in improving the prediction accuracy of prospecting target areas.

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Xue, Zhaolong, Song Wu, Miao Li, and Kaiwang Cheng. "A Novel Method for Regional Prospecting Based on Modern 3D Graphics." Minerals 14, no. 4 (March 28, 2024): 354. http://dx.doi.org/10.3390/min14040354.

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During comprehensive regional prospecting evaluation and delineation of a prospecting target area, various types of data, including geological, geophysical, geochemical, and remote sensing, are usually integrated and visualized in a unified spatial environment, making it convenient for researchers to identify mineralization. To maximize the precision of spatial boundaries, the maps traditionally used in prospecting are predominantly in vector formats. However, with the rapid development of modern real-time 3D graphics and computer cartography technology, raster maps can now provide richer detail representation compared to traditional vector maps while still meeting the precision requirements. In this paper, we present a new GPU-based 3D visualization method for spatial data, specifically, two types of bitmap-based maps called dynamic geochemical maps (DGMs) and interactive geological maps (IGMs). A novel software system implementing this method was developed and has been applied in the exploration of the Zhunuo ore district, Tibet, showing large advantages over traditional vector maps.

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Fu, Jin, Ning Bo Zhao, Xin Chun Li, Wei Hao, and Cheng Kai Pei. "Geochemical Anomalous Features and Genesis of Molybdenum Element in Uranium Resources Potential Evaluation and Prediction." Advanced Materials Research 868 (December 2013): 38–41. http://dx.doi.org/10.4028/www.scientific.net/amr.868.38.

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Based on stream sediment geochemical anomalous features of molybdenum element in China, this paper studied the main zoning of geochemical anomalous features of molybdenum element. At the same time, geochemical anomalous features and genesis of molybdenum element in different types of uranium deposits in Uranium resources potential evaluation were analyzed. Research shows that, molybdenum is an important dedicator element in uranium geochemical exploration, though there is some difference of geochemical anomalous features in different types of uranium deposit. Molybdenum element played an important role in prediction of further ore-prospecting of carbonaceous-siliceous-argillaceous, volcanic and sandstone uranium deposit. By combining the analysis of geological factors such as rock formation, succession of strata, structure, molybdenum element geochemical anomaly helps to improving prediction accuracy of uranium resources potential evaluation.

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Bosikov, Igor, and Andrey Мaier. "Comprehensive assessment and analysis of the oil and gas potential of Meso-Cenozoic sediments in the North Caucasus." Записки Горного института 251 (October 29, 2021): 648–57. http://dx.doi.org/10.31897/pmi.2021.5.4.

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At the present stage, the development of the oil and gas industry in the Russian Federation is impossible without replenishing the raw material base, so the urgent task is to conduct investigations, prospecting and evaluation of oil and gas bearing capacity prospects in undiscovered areas. The purpose of the investigations is to analyze facies and thicknesses, choose the methodology of prospecting and exploration in reservoirs, make a comprehensive assessment of oil and gas bearing capacity prospects based on experimental investigations and construct a map of oil and gas bearing capacity prospects of the studied sediment structure. The methodology of the conducted investigations was to identify and trace zones of increased fracturing by qualitative interpretation of time seismic sections. Methods for qualitative interpretation of time seismic sections, the model of physical, chemical and geochemical criteria developed by I.A.Burlakov, gas and geochemical surveying and correlation analysis were used in the investigations. A number of prospecting criteria, established based on the analysis of reference seismic materials on well-studied areas in comparison with the results of well tests, were also used. Structural plan for forecast prospects of oil and gas bearing capacity in the studied area was made; zonal and local objects with prospects for oil and gas were identified. Graphical plotting of Eh and pH concentrations distribution and various gas and geochemical indicators allowed identifying zones of possible oil and gas accumulations and starting their detailed survey. Processing of gas and geochemical materials by means of software allowed efficient assessment of prospects for oil and gas bearing capacity of the investigated objects.

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Cheng, Gong, Huikun Huang, Huan Li, Xiaoqing Deng, Rehan Khan, Landry SohTamehe, Asad Atta, Xuechong Lang, and Xiaodong Guo. "Quantitative Remote Sensing of Metallic Elements for the Qishitan Gold Polymetallic Mining Area, NW China." Remote Sensing 13, no. 13 (June 28, 2021): 2519. http://dx.doi.org/10.3390/rs13132519.

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The recent development in remote sensing imagery and the use of remote sensing detection feature spectrum information together with the geochemical data is very useful for the surface element quantitative remote sensing inversion study. This aim of this article is to select appropriate methods that would make it possible to have rapid economic prospecting. The Qishitan gold polymetallic deposit in the Xinjiang Uygur Autonomous Region, Northwest China has been selected for this study. This paper establishes inversion maps based on the contents of metallic elements by integrating geochemical exploration data with ASTER and WorldView-2 remote sensing data. Inversion modelling maps for As, Cu, Hg, Mo, Pb, and Zn are consistent with the corresponding geochemical anomaly maps, which provide a reference for metallic ore prospecting in the study area. ASTER spectrum covers short-wave infrared and has better accuracy than WorldView-2 data for the inversion of some elements (e.g., Au, Hg, Pb, and As). However, the high spatial resolution of WorldView-2 drives the final content inversion map to be more precise and to better localize the anomaly centers of the inversion results. After scale conversion by re-sampling and kriging interpolation, the modeled and predicted accuracy of the models with square interpolation is much closer compare with the ground resolution of the used remote sensing data. This means our results are much satisfactory as compared to other interpolation methods. This study proves that quantitative remote sensing has great potential in ore prospecting and can be applied to replace traditional geochemical exploration to some extent.

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Andreev, Anton, Mikhail Girfanov, Ivan Starostin, Olga Avilova, Sergey Kryazhev, Dmitriy Yurmazov, Igor’ Babkin, and Mikhail Semenov. "Geological structure, ore-metasomatic and mineralogical geochemical zoning of Au-Mo-Cu porphyry Kyzyk-Chadr deposit, Tyva republic." Ores and metals, no. 1 (May 21, 2021): 57–76. http://dx.doi.org/10.47765/0869-5997-2021-10004.

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Major geological structure features, ore and metasomatic composition, ore-metasomatic and isotope-geochemical zoning are considered for Kyzyk-Chadr deposit within the namesake ore cluster of Ozhinsky ore district, Altai-Sayany mineragenic province. A set of geological and prospecting evidence (elements of the deposit geological and prospecting model) was defined; it can be used to improve the efficiency of further exploration within Sayany-Altai region prospects.

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30

Chetvertakov, I. V., V. A. Vanin, and I. A. Demin. "Geologic Structure, Mineralogy, and Geochemistry of the Nerunda Gold Ore Field (Northern Transbaikalia)." Russian Geology and Geophysics 62, no. 10 (October 1, 2021): 1139–56. http://dx.doi.org/10.2113/rgg20194119.

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Abstract —We consider the geologic structure of the Nerunda gold ore field located in the Nerunda–Mama ore district in northern Transbaikalia. Gold–quartz low-sulfide formation and ore-bearing carbonate-terrigenous strata and intrusive complexes are briefly described. An ore complex of beresite–listvenite metasomatites hosting carbonate–quartz veins and vein–veinlet zones is characterized. Two stages of ore formation have been recognized. Anomalous geochemical associations and the composition of ore mineralization typical of these stages have been established. Mineralogical and geochemical studies of gold-bearing metasomatites of the Nerunda ore field were carried out. The known geochemical and mineralogical search criteria used for the assessment of the erosion zone level of gold deposits were applied to the geologic conditions of the Nerunda ore field and the Nerunda–Mama gold ore district as a whole. The emphasis was made on the express assessment of the erosion zone level at the early stage of prospecting. We draw a conclusion about the gold potential of the poorly studied ore objects at depth and give guidelines for the following geological prospecting.

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31

Reis, A. P., A. J. Sousa, and E. Cardoso Fonseca. "Soil geochemical prospecting for gold at Marrancos (Northern Portugual)." Journal of Geochemical Exploration 73, no. 1 (September 2001): 1–10. http://dx.doi.org/10.1016/s0375-6742(01)00169-8.

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32

He, Jingzi, Tengfei Ge, Hongjie Tan, Xuzhao Huang, Shengqing Xiong, Zhengguo Fan, and Dalong Dai. "An Efficient and Economical Combination of Exploration Methods for Pb-Zn Polymetallic Skarn Deposits: A Case Study of the Periphery of Hetaoping Deposit, Yunnan Province, China." Minerals 12, no. 6 (June 13, 2022): 749. http://dx.doi.org/10.3390/min12060749.

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Abstract (sommario):

The Hetaoping ore district in Baoshan City, Yunnan Province, is one of the major localities of Pb-Zn polymetallic skarn deposits in China, where geophysical and geochemical surveys play an important role in exploring Pb-Zn polymetallic mineral resources. Based on the exploration and prospecting carried out at the periphery of the Hetaoping Pb-Zn polymetallic deposit, this study proposed an aero-ground joint exploration method to determine the metallogenic model of distal skarns in the Hetaoping ore district, achieving ideal prospecting results. The steps of this method are as follows. First, the locations of ore-induced anomalies were determined using high-amplitude aeromagnetic anomalies. Then, the ore-induced anomalies were determined to be anomalies of Pb-Zn polymetallic deposits through geochemical surveys of soil samples and ground geophysical surveys. Based on these data, a quantitative analysis and metallogenic potential assessment of ore bodies and their surrounding rocks were conducted using the interactive 2.5D magnetic inversion. In addition, the 3D inversion of regional gravity data was also performed in order to determine the spatial location of the deep magma chamber. Accordingly, the metallogenic geological process in this area was analyzed by determining the spatial morphology of the deep magma chamber, and a prospecting model of the Pb-Zn polymetallic deposits was finally built. The results show that the aero-ground joint exploration method, which first conducts a rapid scanning survey using the aeromagnetic method and then locates, distinguishes, and assesses significant aeromagnetic anomalies by combining comprehensive verification means such as ground geophysical, geochemical, and geological surveys, is efficient and economical. This study will guide regional metallogenic research and the exploration and prospecting of Pb-Zn polymetallic deposits.

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33

Ma, Yan Ying, Yong Qiang Yang, Ji Zhang Fan, Miao Wang, Zhong Wen Wang, and Yan Qiu Li. "Synthetic Informational Prospecting Model of Gold Placer in the Northwest of Heilongjiang Province." Applied Mechanics and Materials 737 (March 2015): 855–58. http://dx.doi.org/10.4028/www.scientific.net/amm.737.855.

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The northwest of Heilongjiang province is a very important mineral site of precious metals and has always been a occurrence place of Placer gold. On the basis of analysis and study of ore-forming geological settings, geophysical and geochemical features of the ore belt, the authors have concluded the metallogenic essential factor , Prospecting factor and have established the Gold Placer Synthetic informational Prospecting Model of northwest of Heilongjiang province .

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Du, Xin, Chang Hai Yan, Jun Kui Chen, and Xin Fa Li. "Discovery of Yaguila Pb-Zn Polymetallic Deposit in Tibet: A Successful Case of Geochemical Prospecting." Advanced Materials Research 524-527 (May 2012): 278–84. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.278.

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Yaguila Pb-Zn polymetallic deposit in Tibet is discovered through geochemical exploration techniques. The deposit is located in the eastern section of Longmala-Yaguila fault sag belt in the area of Nyainqentanglha Range. The ore bodies lie in the lithologic interface between tuffaceous sandstones and iron-manganese banded marbles in the Upper Carboniferous-Lower Permian Laigu formation. They occur in bedded and stratoid forms and are consistent with the attitude of strata. The paper reviews the process of discovering the deposit, and analyzes the important role of geochemical exploration in prospecting in the research area. It studies the geological characteristics of ore-forming, distribution of elements and features of anomalies, and finds out the Carboniferous- Permian is the main horizon Pb-Zn polymetallic anomalies form. The deposit type is submarine exhalative sedimentary-magmatic hydrothermal superimposition Pb-Zn polymetallic deposit. Furthermore, the paper also establishes a geology-geochemistry prospecting model for the research area and gives some suggestions to the further work, being of great significance in guiding geological prospecting in the research area.

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35

Wu, Yanbin, Li Sun, Zhiguang Qu, Wenming Yu, Peng Zhang, Guoqing Jing, Pengliang Shen, et al. "Utilizing Multifractal and Compositional Data Analysis Combined with Random Forest for Mineral Prediction in Goulmima, Morocco." Minerals 15, no. 3 (February 25, 2025): 222. https://doi.org/10.3390/min15030222.

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Morocco is rich in Mississippi Valley Type (MVT) copper deposits. Currently, geochemical surveying is being conducted in the Goulmima region in pursuit of breakthroughs in mineral exploration. This paper focuses on the delineation of prospecting targets in the Goulmima area based on the ongoing 1:100,000 geochemical survey work in Morocco. The study employs compositional data transformation to perform isometric log-ratio (ilr) transformations on raw data, followed by the Spectrum-Area (S-A) fractal processing, and then uses the Random Forest (RF) algorithm for mineral prediction. Finally, the prediction results are further delineated using the Concentration-Area (C-A) fractal model to identify high-probability areas, marking two prospecting targets. The results show: (1) the ilr transformation reduces the closure problem of the original data and improves their symmetry, thereby more effectively revealing the spatial structural features of the elements; (2) the principal component analysis (PCA) performed on the ilr-transformed data successfully identifies two main element combinations, representing high-temperature hydrothermal environments (Mo-Sn-Ti-W-U) and low-temperature mineralization environments (CaO-Pb-Zn), consistent with the regional mining history; (3) the application of the S-A multifractal model effectively distinguishes between anomalies and background distributions in the geochemical data of the study area, and combines fault buffer zones as the basis for mineral prediction; (4) the C-A fractal model further subdivides the prediction results, dividing potential mining areas into high, medium, and low probability zones, and ultimately identifies two prospecting targets.

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36

Tang, Rui, Li Sun, Fei Ouyang, Keyan Xiao, Cheng Li, Yunhui Kong, Miao Xie, Yixiao Wu, and Yaxin Gao. "CoDA-Based Geo-Electrochemical Prospecting Prediction of Uranium Orebodies in Changjiang Area, Guangdong Province, China." Minerals 14, no. 1 (December 21, 2023): 15. http://dx.doi.org/10.3390/min14010015.

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In order to achieve a breakthrough in the exploration of uranium orebodies in the Changjiang area of Guangdong province in China, the geo-electrochemical exploration method is used for mineral resource prediction. The logarithmically and isometric log-ratio (ilr) transformations are applied to the geo-electrochemical data in this study area to extract geochemical anomalies. The relationship between element associations and mineralization is revealed through descriptive statistical analysis and further biplot analysis. Then, the energy spectrum density–area fractal model (S-A model) is used to identify geochemical backgrounds and anomalies. The results show that: (i) the logarithmically and ilr-transformed data are more uniform, and they more or less obey the rules of normal distribution; (ii) the biplot shows that the ilr-transformed data eliminates the closure effect, and the robust principal component analysis (RPCA) has a better indicative significance for element associations—PC1 reveals the mineralization element association dominated by U and the multiple periods of hydrothermal activity; (iii) the S-A method could extract the local anomalies from different geochemical backgrounds, which indicates mineralization is more reliable. Finally, four favorable prospecting targets are delineated based on the geological and geochemical indicators.

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37

Cao, Mengxue, Laijun Lu, and Yu Zhong. "Application of multivariate canonical harmonic trend analysis, singularity analysis with radius-areal metal amount and improved adaptive fuzzy self-organizing mapping to identify geochemical anomaly related to iron polymetallic mineralization in Hunjiang district, Northeastern China." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 2101–10. http://dx.doi.org/10.3233/jifs-210786.

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How to more effectively perform anomaly detection of combination information has always been an important issue for the scholars in various fields. In order to identify and extract the geochemical anomaly information related to polymetallic mineralization in the Hunjiang area, this article uses the hybrid method that combines multivariate canonical harmonic trend analysis (MCHTA), singularity analysis with radius-areal metal amount and improved adaptive fuzzy self-organizing map (IAFSOM). First, multiple sets of combination feature information with multi-dimensional variables will be obtained through the MCHTA method, which information is considered as the initial information for the subsequent analysis. Next, the singularity analysis method is used to process the combination concentration value to calculate the singularity indexes. Finally, the singularity indexes are classified by the IAFSOM method, and nine groups of sample data are obtained. The analysis results found that the samples information in fourth group covered most of the low α-values. The main conclusions in this study are as follows: (1) The MCHTA method can effectively detect the combination information related to geochemical anomaly; (2) The application of singularity analysis method with radius-areal metal amount can reveal the significant characteristics of mineralization combination elements; (3) IAFSOM can be used as an effective tool for the classification and identification of geochemical anomaly with combination information; (4) the hybrid method that combines MCHTA method, singularity analysis and IAFSOM model has a good indication significance in the prospecting of geochemical anomalies, and could provide a good method for geochemical prospecting.

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38

Zhang, Yan, Gaowen He, Fenlian Wang, Yong Yang, Yonggang Liu, Li Zhang, and Yongzhang Zhou. "Geochemical Fractal Characteristics of Deep-Sea REE-Rich Sediments in the Western Pacific." Minerals 12, no. 7 (June 29, 2022): 835. http://dx.doi.org/10.3390/min12070835.

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At present, the challenge for geochemical prospecting of deep-sea, rare, earth-rich sediments is the selection of exploration sites. Because of the unpredictability of offshore operations, the distribution and selection of survey line stations face great challenges. In this paper, we study the fact that the concentration distribution of geochemistry in space may be a part of a special complex process, which is called the multifractal. It requires a large number of indexes to characterize its scale characteristics. Based on the multifractal spectrum, 38 geochemical indices in the Pigafetta Basin region of the western Pacific Ocean are divided into three categories. The three indexes are distinguished by the multifractal parameters. The results of multifractals are in good agreement with those of the cluster analysis and principal component analysis. In addition, on the basis of principal component analysis, we further used the multifractal filtering method to extract element anomalies and delineate element enrichment regions. The first principal component clearly represents the potential element enrichment area. The spatial analysis technique and multifractal method proposed in the paper provide a new idea for geochemical prospecting of deep-sea, rare, earth-rich sediments.

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39

Li, Jie, Bimin Zhang, Qingjie Gong, Hanliang Liu, and Ningqiang Liu. "Microscopic Morphology and Indicative Significance of Nanoscale Au Particles in Soils and Fault Muds: A Case Study of Jiaojia, Shandong Province." Applied Sciences 13, no. 4 (February 7, 2023): 2126. http://dx.doi.org/10.3390/app13042126.

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In recent decades, the human demand for mineral resources has increased dramatically, and the mining of shallow deposits has basically been completed. The prospecting direction has turned to concealed deposits. For this reason, various penetrating geochemical methods have been developed to find concealed minerals and a series of geochemical exploration techniques have been proposed. At the same time, the use of the geochemical gene as a new technique presented in recent years is feasible in discussing component classification and provenance tracing. In this study, we applied these methods for mineral exploration in the Jiaojia gold deposit in Shandong Province, China. The results show that a large number of ore-forming element particles can be observed in ores, fault muds, and soils; compared with Chinese soil, Au has higher enrichment coefficients; according to the LG03 lithogene, the ores belong to a neutral composition, and the fault muds and soils belong to an acidic composition. Based on the above results, it can be found that the ore-forming elements in the Jiaojia gold deposit have migrated. Although this migration cannot change the original lithology, it can provide theoretical support for the fine-grained soil-prospecting method.

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40

Hung, Khuong The, Pham Nhu Sang, Nguyen Phuong, Vu Thai Linh, and Bui Viet Sang. "Statistical evaluation of the geochemical data for prospecting polymetallic mineralization in the Suoi Thau – Sang Than region, Northeast Vietnam." Geology, Geophysics and Environment 46, no. 4 (December 30, 2020): 285–99. http://dx.doi.org/10.7494/geol.2020.46.4.285.

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In Northeast Vietnam, Suoi Thau-Sang Than is considered as a high potential area of polymetallic deposits. 1,720 geochemical samples were used to investigate polymetallic mineralization; thereby polymetallic ore occurrences in this study region were discovered and the statistical and multivariate analysis helps to define geochemical anomalies in some northeastern regions, namely Suoi Thau, Sang Than, and Ban Kep. The statistical method and cluster analysis of geochemical data indicate that the Cu, Pb, and Zn elements are good indicators, and most of them comply with the lognormal or gamma distribution. Based on the third-order threshold, the geochemical anomalies of the content of the Cu, Pb, and Zn elements reflect the concentration of copper forming ore bodies in the mineralized zone, and clearly show the concentration in three distinct zones. The trend surface analysis which was employed to determine spatial variations and relationships among these good indicator elements and anomalous areas revealed relative changes in the content of the indicator elements, and they can be considered as regular. Moreover, the goodness of fit obtained trend functions of Pb and Zn, and Cu elements is a third-degree trend surface model. These results indicate that the models can be useful in studying geochemical anomalies and analyzing the tendency of the concentration of indicator elements in the Suoi Thau-Sang Than region. Additionally, it is suggested that the statistical analysis shows a remarkable potential to use the bottom river sediments in the region to investigate polymetallic mineralization. Moreover, geochemical data can help to evaluate geochemical anomalies of the pathfinder elements and potential mineral mapping of the Suoi Thau-Sang Than region in Northeast Vietnam.

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41

Xu, Shan, Miao Wang, Chang Chun Liu, and Shou Yi Li. "Evaluation of Gold Geochemical Anomalies in the Liaodong Paleorift." Applied Mechanics and Materials 484-485 (January 2014): 620–27. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.620.

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89 Au geochemical anomalies are delineated by using 1/200000 regional geochemical exploration data. By researching regional geochemical characteristics and the relationship with the geological background, the author points out that: the main factors causing high background of Au geochemical anomalies are Gaixian and Dashiqiao formation of Liaohe group, intrusions of Mesozoic intermediate-acid intrusive rocks. The elements combination types of typical anomalies are determined by using factorial analysis,cluster analysis and other mathematical methods with the combination of elements association in typical anomalies:the composite anomaly of Baiyun gold deposits is Au-As-Sb, Maoling gold deposit is Au-As-Bi-Mo, Wulong gold deposits is Au-As-Bi-W, Xiaotongjiapuzi gold deposit is Au-As-Bi-Mo-Sb. By using multivariate statistical analysis method,62 ore-caused anomaly are preferred in 89 Au geochemical anomalies delineated. On this basis, the 62 anomalies are divided into 4 kinds of anomaly types reference to elements combination types of typical anomalies,the classification results of ore-caused anomalies are: 4 geochemical anomalies of Baiyun type,36 geochemical anomalies of Maoling type,11 geochemical anomalies of Wulong type, 11 geochemical anomalies of Xiaotongjapuzi type. According to the results, the prospecting direction is provided for the future of gold exploration.

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Wang, Shou Liang, Cui Xia Qu, and Wei Liu. "Geophysical - Geochemical Anomaly Characteristics and Prospecting Marks of Dachang Gold Deposit in Qinghai." Applied Mechanics and Materials 448-453 (October 2013): 3792–96. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3792.

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Dachang ore field is located in the central of Au, Sb, Hg metallogenic belt in the north Bayankela mountain, with the Maduo - Gande deep major fault as its regional guide mineral structure. The gold deposits have grew up in the fracture - fissure system of large share zone in BaYanKaLa mountain group of Triassic strata, and Magmatic activities in Yanshan Period provides favorable conditions for the activation, migration, enrichment and mineralization of gold element. Geophysical - geochemical anomaly and remote sensing of this area have shown that they are related with the mineralization, that means abnormal area with bigger Intensity is often located in the cross area of tectonic alteration and mineralization. Triassic strata, the north - west fault and its secondary structure - rock system and geophysical - geochemical anomaly are the obvious symbols of gold prospecting in the area. Through the metallogenic regularity, obvious symbols and distincting some geophysical - geochemical anomalies, more large and medium-sized gold deposits have been found. We should along the Maduo - Gande fault zone, extending for east - west trend and the depth, and larger scale gold deposits is expected to be found.

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43

Stajevic, Bosko. "Geochemical haloes of Gold in the Lece ore field - southern Serbia." Annales g?ologiques de la Peninsule balkanique, no. 65 (2003): 93–99. http://dx.doi.org/10.2298/gabp0301093s.

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In the area of the Lece base-metal ore field in the SE part of the Radana Tertiary volcanic complex, prospecting researches, lasting several years was done during the last decade of the last century. In the paper some results are presented and analyzed, especially those concerning the distribution of gold relative to trace elements in the secondary lithogeochemical dispersion haloes. In the assemblage of 8 analyzed trace elements of the Lece lithogeochemical field, Au, Pb, Zn, Ag and Sb show expressive, contrasting and mutually well correlated secondary dispersion haloes. The presented results of geochemical prospecting are considered not to be clearly indicative for epithermal gold mineralization in the polymetallic ore field Lece.

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44

Elsayed, Omnia, Nahla Abd El Ghaffar, Abdel Moneim Mahmoud, and Ismail Ismail. "Significant Enrichment of Rare Earth Element Concentrations in Stream Sediments of Sharm El-Sheikh Area, Southern Sinai-Egypt: Geochemical Prospecting and Heavy Mineral Survey." Iraqi Geological Journal 56, no. 1B (February 28, 2023): 1–15. http://dx.doi.org/10.46717/igj.56.1b.1ms-2023-2-9.

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Economic rare earth element bearing-heavy mineral accommodation in alluvial deposits (stream sediments) is a well-known process caused by varying rates of weathering and transportation of heavy minerals and sediments, which is significant in geochemical exploration. In the present work, stream sediment samples from Wadi Lethi, Sharm El-Sheikh, were systematically collected. The collected stream sediments were investigated mineralogically and geochemically using collaborative techniques. The separated heavy fractions have been analyzed for trace elements and Rare Earth Element. Important heavy minerals identified are monazite, sphene, apatite, garnet, xenotime, magnetite, ilmenite, and hematite, with subordinate riebeckite, epidote, and chlorite. Geochemical analyses of the separated heavy minerals revealed an abnormal concentration of total Rare Earth Element that was more than eleven times higher than in the studied area's granitic rocks. The Rare Earth Elements trends of these minerals depict the enrichment of light rare earth elements and the depletion of heavy rare earth elements, as well as the typical negative Eu anomaly found in granitic magma.

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STOLYARENKO, VLADIMIR, LYUDMILA SHATILOVA, SVETLANA MINAEVA, and ALEKSEY RYABOSHAPKO. "Multifactor forecasting and prospecting model of the Kuranakh gold deposit." Domestic geology, no. 6 (January 26, 2024): 19–49. http://dx.doi.org/10.47765/0869-7175-2023-10028.

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A multifactor forecasting and prospecting model has been compiled for the largest gold deposit in the Central Aldan metallogenic zone. Based on the previous geological exploration results, the magmatic, lithofacial, tectonostructural, morphological, mineralogical, geochemical, and geophysical prospecting criteria and features were determined. The relevance of development of such a model is determined by that the ore region contains graben-shaped depressions similar to the ore-controlling Kuranakh depression in structure and formation conditions, that are promising for discovering of Kuranakh type gold deposits within them.

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Spiridonov, A. M., and L. D. Zorina, V. A. Romanov. "Types of endogenous geochemical fields and their significance for prospecting." Russian Geology and Geophysics 55, no. 2 (February 2014): 290–97. http://dx.doi.org/10.1016/j.rgg.2014.01.012.

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Moshchenko, A. S., S. A. Vorob’ev, and V. B. Zinov’ev. "Application of coplex geochemical technique for oil and gas prospecting." Geochimica et Cosmochimica Acta 70, no. 18 (August 2006): A756. http://dx.doi.org/10.1016/j.gca.2006.06.1363.

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48

Moshchenko, A. S., S. A. Vorob’ev, and V. B. Zinov’ev. "Application of coplex geochemical technique for oil and gas prospecting." Geochimica et Cosmochimica Acta 70, no. 18 (August 2006): A431. http://dx.doi.org/10.1016/j.gca.2006.06.1586.

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49

Moshchenko, Anastasia, Sergey Vorob’ev, and Vladimir Zinov’ev. "Application of the geochemical prospecting to improve oilfield structure models." Chinese Journal of Geochemistry 25, S1 (March 2006): 225. http://dx.doi.org/10.1007/bf02840179.

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50

Horiuchi, Yu, Tetsuji Ohno, Mihoko Hoshino, Ki-Cheol Shin, Hiroyasu Murakami, Maiko Tsunematsu, and Yasushi Watanabe. "Geochemical prospecting for rare earth elements using termite mound materials." Mineralium Deposita 49, no. 8 (October 7, 2014): 1013–23. http://dx.doi.org/10.1007/s00126-014-0550-3.

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