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Journal articles on the topic 'Mineral exploration'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

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1

Glasby, G. P. "Marine mineral exploration." Marine Geology 83, no. 1-4 (September 1988): 321. http://dx.doi.org/10.1016/0025-3227(88)90066-7.

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2

Roonwal, G. S. "Marine mineral exploration." Ore Geology Reviews 3, no. 4 (August 1988): 397–98. http://dx.doi.org/10.1016/0169-1368(88)90033-9.

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3

Cadigan, R. A. "Marine Mineral Exploration." Ore Geology Reviews 4, no. 4 (August 1989): 363. http://dx.doi.org/10.1016/0169-1368(89)90011-5.

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4

Groves, D. I. "Conceptual mineral exploration." Australian Journal of Earth Sciences 55, no. 1 (February 2008): 1–2. http://dx.doi.org/10.1080/08120090701673310.

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5

Spiess, Fren N. "Marine Mineral Exploration." Eos, Transactions American Geophysical Union 69, no. 5 (1988): 60. http://dx.doi.org/10.1029/88eo00052.

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6

Cronan, D. S. "Marine mineral exploration." Journal of Geochemical Exploration 30, no. 1-3 (January 1988): 331–32. http://dx.doi.org/10.1016/0375-6742(88)90071-4.

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7

McClenaghan, M. Beth. "Indicator mineral methods in mineral exploration." Geochemistry: Exploration, Environment, Analysis 5, no. 3 (July 19, 2005): 233–45. http://dx.doi.org/10.1144/1467-7873/03-066.

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8

McDonald, Iain. "Mineral exploration through cover." Applied Earth Science 116, no. 1 (March 2007): 1. http://dx.doi.org/10.1179/174327507x167046.

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9

Drymonitis, Dimitris. "Defining Mineral Exploration Works." Procedia Earth and Planetary Science 15 (2015): 742–46. http://dx.doi.org/10.1016/j.proeps.2015.08.119.

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10

Laznicka, Peter. "Introduction to mineral exploration." Ore Geology Reviews 11, no. 4 (October 1996): 251–52. http://dx.doi.org/10.1016/0169-1368(96)82525-x.

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11

Sridharan, Shri. "National mineral exploration policy." Journal of the Geological Society of India 87, no. 4 (April 2016): 492–93. http://dx.doi.org/10.1007/s12594-016-0419-4.

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12

Piché, Mathieu, and Michel Jébrak. "Normative minerals and alteration indices developed for mineral exploration." Journal of Geochemical Exploration 82, no. 1-3 (April 2004): 59–77. http://dx.doi.org/10.1016/j.gexplo.2003.10.001.

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13

Bedell, Richard. "Remote Sensing in Mineral Exploration." SEG Discovery, no. 58 (July 1, 2004): 1–14. http://dx.doi.org/10.5382/segnews.2004-58.fea.

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ABSTRACT The proliferation of remote sensing platforms has resulted in unprecedented opportunities for ore deposit vectoring. Importantly, remote sensing technology is now beyond the vague identifıcation of alteration, and can accurately map specifıc minerals and directly contribute to the understanding of ore systems. Remote sensing is making discoveries of new alteration zones within classic and previously well mapped ore systems, as well as outlining their geometry and mineralogy. Confıning this review to the geologically important reflected-light remote sensing systems, there are four main categories of sensors readily available to economic geologists, including the following: (1) submeter resolution panchromatic satellites that offer little spectral information but provide base maps; (2) multispectral Landsat satellites that can map iron and clay alteration; (3) the new ASTER satellite that can map important alteration groups and some specifıc minerals; and (4) hyperspectral airborne scanners that can provide maps of specifıc mineral species important to detailed alteration mapping. At the core of comprehending this plethora of technology is the difference between spectral and spatial resolution. This review will provide an understanding of the more fundamental aspects of remote sensing systems that will help fıeld geologists to interact better with and leverage this rapidly evolving technology.
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14

Wang, Ruifeng, Xiong Wu, Yanliang Zhai, Yuxuan Su, and Chenhui Liu. "An Experimental Study on the Sources of Strontium in Mineral Water and General Rules of Its Dissolution—A Case Study of Chengde, Hebei." Water 13, no. 5 (March 5, 2021): 699. http://dx.doi.org/10.3390/w13050699.

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Chengde City boasts a wealth of high-quality mineral water resources characterized by a high level of strontium (Sr), a low level of sodium, and low alkalinity. In order to study the mechanism of formation of Sr-bearing mineral water in Chengde and to scientifically guide future mineral water exploration, taking three typical mineral water exploration areas in Chengde as examples, this paper studies the sources of Sr in mineral water and the general rules of its dissolution via a laboratory static leaching experiment and impact experiments, and it provides an analysis of the characteristics of typical rock samples. The research results indicate that the content of Sr in surrounding rock and the characteristics of minerals existing in surrounding rock jointly control the dissolution of Sr in water; that CO2 can promote the formation of mineral water containing Sr; and that temperature increases may boost the dissolution of Sr from carbonate minerals but also inhibit the dissolution of Sr from silicate minerals.
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15

YOKOYAMA, TAKEO. "Remote sensing in mineral exploration." Shigen-to-Sozai 105, no. 15 (1989): 1155–61. http://dx.doi.org/10.2473/shigentosozai.105.1155.

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16

Powell, J. L. "Mineral Exploration and Mining Essentials." Economic Geology 107, no. 5 (August 1, 2012): 1076–77. http://dx.doi.org/10.2113/econgeo.107.5.1076.

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17

Kelley, K. D. "Mineral Exploration: Principles and Applications." Economic Geology 108, no. 6 (August 13, 2013): 1518–19. http://dx.doi.org/10.2113/econgeo.108.6.1518-a.

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18

Graybeal, Frederick T. "Aspects of Mineral Exploration Thinking." SEG Discovery, no. 128 (January 1, 2022): 24–35. http://dx.doi.org/10.5382/geo-and-mining-14.

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Editor’s note: The aim of the Geology and Mining series is to introduce early career professionals and students to various aspects of mineral exploration, development, and mining in order to share the experiences and insight of each author on the myriad of topics involved with the mineral industry and the ways in which geoscientists contribute to each. Abstract Successful exploration requires an understanding of ore deposit models, the experience to recognize ore guides in an outcrop, nonlinear thinking, and some intuition. Models, using porphyry Cu deposits as examples, combine magmatic and hydrothermal processes; however, process and the results of process are different. Models provide important understanding of process but are not ore guides and do not drive discoveries; models function as rules that inhibit prediscovery exploration thinking. Results of the genetic process are recorded in descriptive models that do not reflect the considerable geologic variations existing between the hundreds of known porphyry Cu deposits. Discoveries and discovery cycles are driven by nonlinear thinking about ore guides visible in outcrop, not by genetic or descriptive models. Reality in an outcrop typically departs from generalized models. Reinterpretations that lead to drilling prospects rejected by previous exploration groups is what makes many discoveries. Increasingly, field-portable instruments for mineral and chemical analyses will add efficiencies. The most important product of early exploration work is the geologic map, defined here as a decision-making document. Mapping of ore guides in any ore-forming system invariably leads to sampling of outcrops where high grading can help geologists rig the odds in their favor. However, the objective is a highly profitable mine, not just a high-grade sample. That means the mineralization must be sufficiently continuous to build the inventory of recoverable metal required for a profitable mine, regardless of grade. High grade gets you interested, but continuity gets the mine. The principal intangible in any discovery is intuition, often described as nothing more or less than recognition, and it invariably involves experience. Perhaps the only tangible expression of intuition is displayed by individuals or teams that are unwilling to abandon a complex prospect, a behavior often described in case histories as tenacity.
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19

Gozlan, Eric, and James Cull. "Micro-Gravity for Mineral Exploration." ASEG Extended Abstracts 2001, no. 1 (December 2001): 1–6. http://dx.doi.org/10.1071/aseg2001ab046.

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20

Gunn, P. J., J. Mitchell, P. Pieters, and S. Temakon. "The Vanuatu Mineral Exploration Initiative." Exploration Geophysics 28, no. 1-2 (March 1997): 209–13. http://dx.doi.org/10.1071/eg997209.

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21

AGTERBERG, F. P. "Computer Programs for Mineral Exploration." Science 245, no. 4913 (July 7, 1989): 76–81. http://dx.doi.org/10.1126/science.245.4913.76.

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22

KOUDA, Ryoichi. "Mineral Resources Exploration Using AI." Journal of the Japan society of photogrammetry and remote sensing 30, no. 4 (1991): 71–77. http://dx.doi.org/10.4287/jsprs.30.4_71.

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23

Olofsson, Tobias. "Imagined futures in mineral exploration." Journal of Cultural Economy 13, no. 3 (April 17, 2019): 265–77. http://dx.doi.org/10.1080/17530350.2019.1604399.

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24

Smith, Robert J. "Geophysics in Australian mineral exploration." GEOPHYSICS 50, no. 12 (December 1985): 2637–65. http://dx.doi.org/10.1190/1.1441888.

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I review a variety of recent case histories illustrating the application of geophysics in mineral exploration in Australia. Geophysics is now an integral part of most programs. Examples are given of contributions by geophysics to all stages of mineral exploration, from regional area selection through to mine planning and development. Specific case histories summarized are as follows: (a) Olympic Dam copper‐uranium‐gold deposit, discovered using a conceptual genetic model and regional geophysical data; (b) Ellendale diamondiferous kimberlites, illustrating the use of low level, detailed airborne magnetics; (c) Ranger uranium orebodies, discovered by detailed airborne radiometric surveys; (d) geologic mapping near Mary Kathleen with color displays of airborne radiometric data; (e) mapping of lignite in basement depressions of the Bremer Basin, near Esperance, with INPUT; (f) White Leads, a lead‐zinc sulfide deposit discovered with induced polarization (IP) and TEM, near Broken Hill; (g) Hellyer, a lead‐zinc‐silver‐gold deposit discovered with UTEM; (h) application of geophysical logging near Kanmantoo; (i) Cowla Peak, a subbituminous steaming coal deposit mapped with ground TEM; and (j) Cook Colliery, where high‐resolution seismic reflection methods have successfully increased the workable reserves.
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25

Sabins, Floyd F. "Remote sensing for mineral exploration." Ore Geology Reviews 14, no. 3-4 (September 1999): 157–83. http://dx.doi.org/10.1016/s0169-1368(99)00007-4.

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26

Eggert, Roderick G. "Managing for successful mineral exploration." Resources Policy 19, no. 3 (September 1993): 173–76. http://dx.doi.org/10.1016/0301-4207(93)90002-5.

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27

Carranza, Emmanuel John M. "Geocomputation of mineral exploration targets." Computers & Geosciences 37, no. 12 (December 2011): 1907–16. http://dx.doi.org/10.1016/j.cageo.2011.11.009.

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28

Mwenifumbo, C. J. "Temperature logging in mineral exploration." Journal of Applied Geophysics 30, no. 4 (October 1993): 297–313. http://dx.doi.org/10.1016/0926-9851(93)90038-z.

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29

Dunn, Colin E. "Biogeochemical exploration for mineral deposits." Applied Geochemistry 4, no. 4 (July 1989): 433–34. http://dx.doi.org/10.1016/0883-2927(89)90018-8.

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30

Cummings, Don I., Bruce A. Kjarsgaard, Hazen A. J. Russell, and David R. Sharpe. "Eskers as mineral exploration tools." Earth-Science Reviews 109, no. 1-2 (November 2011): 32–43. http://dx.doi.org/10.1016/j.earscirev.2011.08.001.

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31

Thorpe, R. I. "Lead isotopes in mineral exploration." Journal of Geochemical Exploration 30, no. 1-3 (January 1988): 327–31. http://dx.doi.org/10.1016/0375-6742(88)90070-2.

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32

Erdman, James A. "Biogeochemical Exploration for Mineral Deposits." Journal of Geochemical Exploration 31, no. 3 (March 1989): 332–33. http://dx.doi.org/10.1016/0375-6742(89)90111-8.

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33

Layton-Matthews, Daniel, and M. Beth McClenaghan. "Current Techniques and Applications of Mineral Chemistry to Mineral Exploration; Examples from Glaciated Terrain: A Review." Minerals 12, no. 1 (December 31, 2021): 59. http://dx.doi.org/10.3390/min12010059.

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This paper provides a summary of traditional, current, and developing exploration techniques using indicator minerals derived from glacial sediments, with a focus on Canadian case studies. The 0.25 to 2.0 mm fraction of heavy mineral concentrates (HMC) from surficial sediments is typically used for indicator mineral surveys, with the finer (0.25–0.50 mm) fraction used as the default grain size for heavy mineral concentrate studies due to the ease of concentration and separation and subsequent mineralogical identification. Similarly, commonly used indicator minerals (e.g., Kimberlite Indicator Minerals—KIMs) are well known because of ease of optical identification and their ability to survive glacial transport. Herein, we review the last 15 years of the rapidly growing application of Automated Mineralogy (e.g., MLA, QEMSCAN, TIMA, etc) to indicator mineral studies of several ore deposit types, including Ni-Cu-PGE, Volcanogenic Massive Sulfides, and a variety of porphyry systems and glacial sediments down ice of these deposits. These studies have expanded the indicator mineral species that can be applied to mineral exploration and decreased the size of the grains examined down to ~10 microns. Chemical and isotopic fertility indexes developed for bedrock can now be applied to indicator mineral grains in glacial sediments and these methods will influence the next generation of indicator mineral studies.
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34

Son, Young-Sun, Byoung-Woon You, Eun-Seok Bang, Seong-Jun Cho, Kwang-Eun Kim, Hyunseob Baik, and Hyeong-Tae Nam. "Mapping Alteration Mineralogy in Eastern Tsogttsetsii, Mongolia, Based on the WorldView-3 and Field Shortwave-Infrared Spectroscopy Analyses." Remote Sensing 13, no. 5 (March 1, 2021): 914. http://dx.doi.org/10.3390/rs13050914.

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This study produces alteration mineral maps based on WorldView-3 (WV-3) data and field shortwave-infrared (SWIR) spectroscopy. It is supported by conventional analytical methods such as X-ray diffraction, X-ray fluorescence, and electron probe X-ray micro analyzer as an initial step for mineral exploration in eastern Tsogttsetsii, Mongolia, where access is limited. Distributions of advanced argillic minerals (alunite, dickite, and kaolinite), illite/smectite (illite, smectite, and mixed-layered illite-smectite), and ammonium minerals (buddingtonite and NH4-illite) were mapped using the decorrelation stretch, band math, and mixture-tuned-matched filter (MTMF) techniques. The accuracy assessment of the WV-3 MTMF map using field SWIR data showed good WV-3 SWIR data accuracy for spectrally predominant alteration minerals such as alunite, kaolinite, buddingtonite, and NH4-illite. The combination of WV-3 SWIR mineral mapping and a drone photogrammetric-derived digital elevation model contributed to an understanding of the structural development of the hydrothermal system through visualization of the topographic and spatial distribution of surface alteration minerals. Field SWIR spectroscopy provided further detailed information regarding alteration minerals such as chemical variations of alunite, crystallinity of kaolinite, and aluminum abundance of illite that was unavailable in WV-3 SWIR data. Combining WV-3 SWIR data and field SWIR spectroscopy with conventional exploration methods can narrow the selection between deposit models and facilitate mineral exploration.
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35

Zhai, Fu Rong, Zhan Xing Yang, and Yu Qi Pan. "Liaoning Province Molybdenum, Rare Earth and Mineral Resources Exploration Situation and Demand Forecasting." Advanced Materials Research 347-353 (October 2011): 804–7. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.804.

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The liaoning province is big province of mineral resources, although some energy and nonmetallic minerals resource reserves have among the top, but the rare earth provide strategic significance of mineral resources is the shortage, and molybdenum resources reserves to reduce year by year. This article through the objective analysis of molybdenum in liaoning province, the rare earth mineral resources exploration, status quo and the existing main problems of rare earth mineral resources, the province of molybdenum and long-term forecast the recent demand, in the province of mineral resources planning, provides the basis.
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36

Lin, Nan, Hanlin Liu, Genjun Li, Menghong Wu, Delin Li, Ranzhe Jiang, and Xuesong Yang. "Extraction of mineralized indicator minerals using ensemble learning model optimized by SSA based on hyperspectral image." Open Geosciences 14, no. 1 (January 1, 2022): 1444–65. http://dx.doi.org/10.1515/geo-2022-0436.

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Abstract Mineralized indicator minerals are an important geological and mineral exploration indicator. Rapid extraction of mineralized indicator minerals from hyperspectral remote sensing images using ensemble learning model has important geological significance for mineral resources exploration. In this study, two mineralized indicator minerals, limonite and chlorite, exposed at the surface of Qinghai Gouli area were used as the research objects. Sparrow search algorithm (SSA) was combined with random forest (RF) and gradient boosting decision tree (GBDT) ensemble learning models, respectively, to construct hyperspectral mineralized indicative mineral information extraction models in the study area. Youden index (YD) and ore deposit coincidence (ODC) were applied to evaluate the performance of different models in the mineral information extraction. The results indicate that the optimization of SSA parameter algorithm is obvious, and the accuracy of both the integrated learning models after parameter search has been improved substantially, among which the SSA-GBDT model has the best performance, and the YD and the ODC can reach 0.661 and 0.727, respectively. Compared with traditional machine learning model, integrated learning model has higher reliability and stronger generalization performance in hyperspectral mineral information extraction and application, with YD greater than 0.6. In addition, the distribution of mineralized indicative minerals extracted by the ensemble learning model after parameter optimization is basically consistent with the distribution pattern of the fracture tectonic spreading characteristics and known deposits (points) in the area, which is in line with the geological characteristics of mineralization in the study area. Therefore, the classification and extraction model of minerals based on hyperspectral remote sensing technology, combined with the SSA optimization algorithm and ensemble learning model, is an efficient mineral exploration method.
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37

Ombiro, Sammy O., Akinade S. Olatunji, Eliud M. Mathu, and Taiwo R. Ajayi. "Integration of geophysics and remote sensing techniques in mapping zones mineralised with disseminated gold and sulphide minerals in Lolgorien, Narok County, Kenya." Tanzania Journal of Science 47, no. 2 (May 22, 2021): 754–68. http://dx.doi.org/10.4314/tjs.v47i2.31.

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Even though ground geophysical surveys (especially Induced polarization and resistivity) are applied in mineral exploration, their effectiveness in identification of mineralised zones is often enhanced by integrating other mineral exploration techniques such as remote sensing and geological investigations. Integrating different techniques helps in reducing uncertainty that is often associated with mineral exploration. The methods being integrated also depend on characteristics of mineralisation and those of host rock. In this study, geophysical survey methods (induced polarization and resistivity) were integrated with remote sensing and geological methods to delineate mineralised zones in Lolgorien beyond reasonable doubt. By integrating these methods, it was found that Lolgorien’s gold and sulphide minerals (disseminated minerals) are hosted in massive quartz veins and auriferous quartz veins hosted in Banded Iron Formations. It was also found that this mineralisation was controlled by faults which mainly trend in two directions (NW-SE) and (NE-SW). Keywords: hydrothermal alteration, chargeability, resistivity, band ratio, lineament density
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38

McClenaghan, M. B., L. H. Thorleifson, and R. N. W. DiLabio. "Till geochemical and indicator mineral methods in mineral exploration." Ore Geology Reviews 16, no. 3-4 (June 2000): 145–66. http://dx.doi.org/10.1016/s0169-1368(99)00028-1.

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39

Abdulrahman, Aysar A. "Mineral Exploation Using Neural Netowrks." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 9 (September 15, 2016): 7110–16. http://dx.doi.org/10.24297/ijct.v15i9.707.

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Establishing a new site for mining operation is required to find and develop a new source of minerals with precise characteristics such as location, depth, quality and thickness. Mineral exploration is a sequential process of informationgathering that assesses the mineral potential of given area. It starts with an idea of geologic model that identifies lands worthy of further exploration, and it’s the one of risky and costly investments for companies. In this paper, a new method for choosing a scientific map of exploration using neural network was introduced rather than an arbitrary map. The goal of this paper is to demonstrate the effectiveness of Self Organization Map (SOM) algorithm in visual exploration of physical geographic data. The SOM is one of the most popular neural network models, which provides a data visualizationtechnique which helps to understand high dimensional data by reducing the dimensions of data to maps. In the present paper, the algorithm is based on unsupervised learning, and Java programming codes is used to simulate the SOM algorithm.
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40

Li, Bin, Yongming Peng, Xianyong Zhao, Xiaoning Liu, Gongwen Wang, Huiwei Jiang, Hao Wang, and Zhenliang Yang. "Combining 3D Geological Modeling and 3D Spectral Modeling for Deep Mineral Exploration in the Zhaoxian Gold Deposit, Shandong Province, China." Minerals 12, no. 10 (October 9, 2022): 1272. http://dx.doi.org/10.3390/min12101272.

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The Jiaodong Peninsula hosts the main large gold deposits and was the first gold production area in China; multisource and multiscale geoscience datasets are available. The area is the biggest drilling mineral-exploration zone in China. This study used three-dimensional (3D) modeling, geology, and ore body and alteration datasets to extract and synthesize mineralization information and analyze the exploration targeting in the Zhaoxian gold deposit in the northwestern Jiaodong Peninsula. The methodology and results are summarized as follows: The regional Jiaojia fault is the key exploration criterion of the gold deposit. The compression torsion characteristics and concave–convex section zones in the 3D deep environment are the main indicators of mineral exploration using 3D geological and ore-body modeling in the Zhaoxian gold deposit. The hyperspectral detailed measurement, interpretation, and data mining used drill-hole data (>1000 m) to analyze the vectors and trends of the ore body and ore-forming fault and the alteration-zone rocks in the Zhaoxian gold deposit. The short-wave infrared Pos2200 values and illite crystallinity in the alteration zone can be used to identify 3D deep gold mineralization and potential targets for mineral exploration. This research methodology can be globally used for other deep mineral explorations.
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41

Lougheed, H. Donald, M. Beth McClenaghan, Dan Layton-Matthews, and Matthew Leybourne. "Exploration Potential of Fine-Fraction Heavy Mineral Concentrates from Till Using Automated Mineralogy: A Case Study from the Izok Lake Cu–Zn–Pb–Ag VMS Deposit, Nunavut, Canada." Minerals 10, no. 4 (March 30, 2020): 310. http://dx.doi.org/10.3390/min10040310.

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Exploration under thick glacial sediment cover is an important facet of modern mineral exploration in Canada and northern Europe. Till heavy mineral concentrate (HMC) indicator mineral methods are well established in exploration for diamonds, gold, and base metals in glaciated terrain. Traditional methods rely on visual examination of >250 µm HMC material, however this study applies modern automated mineralogical methods (mineral liberation analysis (MLA)) to investigate the finer (<250 µm) fraction of till HMC. Automated mineralogy of finer material allows for rapid collection of precise compositional and morphological data from a large number (10,000–100,000) of heavy mineral grains in a single sample. The Izok Lake volcanogenic massive sulfide (VMS) deposit, one of the largest undeveloped Zn–Cu resources in North America, has a well-documented fan-shaped indicator mineral dispersal train and was used as a test site for this study. Axinite, a VMS indicator mineral difficult to identify optically in HMC, is identified in till samples up to 8 km down ice. Epidote and Fe-oxide minerals are identified, with concentrations peaking proximal to mineralization. Corundum and gahnite are intergrown in till samples immediately down ice of mineralization. Till samples also contain chalcopyrite and galena up to 8 km down ice of mineralization, an increase from 1.3 km for sulfide minerals in till previously reported for coarse HMC fractions. Some of these sulfide grains occur as inclusions within chemically and physically robust mineral grains and would not be identified visually in the coarse HMC visual counts. Best practices for epoxy mineral grain mounting and abundance reporting are presented along with the automated mineralogy of till samples down ice of the deposit.
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42

ri le, Ge, and Su Liang Yan. "Exploration on Comprehensive Utilization Technology of Mine Tailings." E3S Web of Conferences 165 (2020): 03003. http://dx.doi.org/10.1051/e3sconf/202016503003.

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With the stable and sustained development of the domestic economy, the demand for various mineral resources is increasing. Mineral resources have great value for social and economic development. Mineral resources provide the vast majority of raw materials for domestic economic development. However, in the actual mining process, many beneficial substances are discarded in the form of tailings. After a long period of extensive mining, the amount of domestic minerals has gradually decreased. Outdated mining methods lead to a substantial increase in costs, while leaving many mine tailings. The insufficient utilization of tailings has formed many obstacles to the sustainable development of the industry. Many components of tailings are still valuable, so they must be turned into waste. Vigorously carry out the recycling of resources and promote the common development of the economy and the environment. We are supposed to attach importance to the ecological environment and adverse effects of tailings, and adopt scientific measures to reduce the adverse effects of tailings on the ecological environment.
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43

Nguyen, Hoang Kim. "Gold metallogenic zoning and mineralized prospect in Dalat zone." Science and Technology Development Journal 16, no. 2 (June 30, 2013): 85–96. http://dx.doi.org/10.32508/stdj.v16i2.1434.

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Dalat structural zone was had formed in tectonic setting of continental margin arc in late Mesozoic, have given structural and metallogenic zoning. In this Dalat structural zone, gold is one of the few endogenous minerals is significant mineralization in the study and search - exploration. Endogenic gold distribution in Dalat zone are controlled by main factors such as: structure – locally tectonics (structural fold, brittle fault, structure of dome top of granitoid intrusions, tectonic setting), intrusion (related to gold mineralization), stratigraphy-lithology (environmental containments: volcanic, igneous, terrigenous sedimentary rocks, dykes). Based on analysis of factors of ore control, 138 gold mineral deposits, mineral occurrences and mineralized occurrences, and research several characteristic gold mineral doposits, and mineral occurrences, conducting gold metallogenic zoning, and evaluating the potential of these gold ore regions. These results mean a lot to innovated to next gold prospecting - mineral exploration.
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44

Kutina, Jan, and Patrick T. Taylor. "Satellite altitude magnetic anomalies - Implications for mineral exploration: A review." Global Tectonics and Metallogeny 8, no. 1-4 (January 1, 2003): 89–105. http://dx.doi.org/10.1127/gtm/8/2003/89.

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THOMPSON, ANNE J. B., PHOEBE L. HAUFF, and AUDREY J. ROBITAILLE. "Alteration Mapping in Exploration: Application of Short-Wave Infrared (SWIR) Spectroscopy." SEG Discovery, no. 39 (October 1, 1999): 1–27. http://dx.doi.org/10.5382/segnews.1999-39.fea.

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ABSTRACT Alteration mineral assemblages are important to the understanding of and exploration for hydrothermal ore deposits. Conventional mapping tools may not identify fine-grained minerals or define important compositional variations. Field portable short-wave infrared (SWIR) spectrometers solve some of these problems and provide a valuable tool for evaluating the distribution of alteration assemblages. Spectrometers such as the PIMA-II allow rapid identification of minerals and mineral-specific variations at a field base. Mineral assemblages, integrated with other exploration data, are then used to target drill holes and guide regional exploration programs. Data collection must be systematically organized and carried out by a trained operator. Analysis of data sets requires the use of spectral reference libraries from different geological environments and may be aided in some cases by computer data processing packages. Integration of results with field observations, petrography, and X-ray diffraction analysis is necessary for complete evaluation. The PIMA (portable infrared mineral analyzer) has been used successfully in the high-sulfidation epithermal, low-sulfidation epithermal, volcanogenic massive sulfide (VMS) and intrusion-related environments. Case studies from these systems demonstrate the ability to rapidly acquire and process SWIR data and produce drill logs and maps. The resulting information is critical for targeting.
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Xie, Xian, Zi Xuan Yang, Xiong Tong, and Ji Yong Li. "Research on Exploration of Mineral Processing for a Iron Ore." Advanced Materials Research 1094 (March 2015): 397–400. http://dx.doi.org/10.4028/www.scientific.net/amr.1094.397.

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Iron ore minerals are mainly silicate-type iron minerals in raw ore, and its distribution rate was 51.93%; followed by magnetic iron, and its distribution rate was 36.81%; content and distribution rate of other minerals was very low; element grade of iron, phosphorus, sulfur, silica were 11.90%, 0.043%, 0.013% and 45.23%, the main gangue were silica and calcium oxide, recyclable iron minerals mainly is magnetic iron mineral. Due to the grade of iron of raw ore and the amounts of optional magnetite was relatively little, in order to investigate the optional of low-grade ore, weak magnetic separation test and weak magnetic separation tailings-strong magnetic separation test were put into effect.
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47

Limbong, Christine Herawati, Mulya Rafika, Aulia Indra, and Rizki Syahputra. "Implementation of PSAK No. 64 Concerning Accounting Treatment Cost of Exploration and Evaluation (Case Study at the State Gas Company, Tbk)." Daengku: Journal of Humanities and Social Sciences Innovation 2, no. 6 (November 29, 2022): 857–62. http://dx.doi.org/10.35877/454ri.daengku1344.

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Exploration is carried out by companies, especially mining companies where this stage is the initial stage to find out the mineral resources contained in a certain area. The need for exploration is carried out to find out how the geological conditions, minerals and how many estimates of the amount of mineral resources to be able to go to the next stage, namely the mining stage. The importance of this exploration stage requires a very large investment in order to achieve accurate results. However, because the investment required at this stage is very large, this stage of exploration is quite risky for investors. The solution needed for the exploration stage is the availability of experts who are experienced in their fields, such as geology and project technical management. According to KBBI, exploration is field exploration with the aim of gaining more knowledge, especially about natural resources found in certain areas. Conceptually within the scope of the mining industry, exploration is defined as an effort carried out in stages and systematically to obtain a destination area that can be further developed as a mining area.
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Makvandi, Sheida, Philippe Pagé, Jonathan Tremblay, and Réjean Girard. "Exploration for Platinum-Group Minerals in Till: A New Approach to the Recovery, Counting, Mineral Identification and Chemical Characterization." Minerals 11, no. 3 (March 4, 2021): 264. http://dx.doi.org/10.3390/min11030264.

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The discovery of new mineral deposits contributes to the sustainable mineral industrial development, which is essential to satisfy global resource demands. The exploration for new mineral resources is challenging in Canada since its vast lands are mostly covered by a thick layer of Quaternary sediments that obscure bedrock geology. In the course of the recent decades, indicator minerals recovered from till heavy mineral concentrates have been effectively used to prospect for a broad range of mineral deposits including diamond, gold, and base metals. However, these methods traditionally focus on (visual) investigation of the 0.25–2.0 mm grain-size fraction of unconsolidated sediments, whilst our observations emphasize on higher abundance, or sometimes unique occurrence of precious metal (Au, Ag, and platinum-group elements) minerals in the finer-grained fractions (<0.25 mm). This study aims to present the advantages of applying a mineral detection routine initially developed for gold grains counting and characterization, to platinum-group minerals in <50 µm till heavy mineral concentrates. This technique, which uses an automated scanning electron microscopy (SEM) equipped with an energy dispersive spectrometer, can provide quantitative mineralogical and semi-quantitative chemical data of heavy minerals of interest, simultaneously. This work presents the mineralogical and chemical characteristics, the grain size distribution, and the surface textures of 2664 discrete platinum-group mineral grains recovered from the processing of 5194 glacial sediment samples collected from different zones in the Canadian Shield (mostly Quebec and Ontario provinces). Fifty-eight different platinum-group mineral species have been identified to date, among which sperrylite (PtAs2) is by far the most abundant (n = 1488; 55.86%). Textural and mineral-chemical data suggest that detrital platinum-group minerals in the studied samples have been derived, at least in part, from Au-rich ore systems.
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Lougheed, H., M. McClenaghan, Daniel Layton-Matthews, Matthew Leybourne, and Agatha Dobosz. "Automated Indicator Mineral Analysis of Fine-Grained Till Associated with the Sisson W-Mo Deposit, New Brunswick, Canada." Minerals 11, no. 2 (January 21, 2021): 103. http://dx.doi.org/10.3390/min11020103.

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Exploration under thick glacial sediment cover is an important facet of modern mineral exploration in Canada and northern Europe. Till heavy mineral concentrate (HMC) indicator mineral methods are well established in exploration for diamonds, gold, and base metals in glaciated terrain. Traditional methods rely on visual examination of >250 µm HMC material. This study applies mineral liberation analysis (MLA) to investigate the finer (<250 µm) fraction of till HMC. Automated mineralogy (e.g., MLA) of finer material allows for the rapid collection of precise compositional and morphological data from a large number (10,000–100,000) of heavy mineral grains in a single sample. The Sisson W-Mo deposit has a previously documented dispersal train containing the ore minerals scheelite, wolframite, and molybdenite, along with sulfide and other accessory minerals, and was used as a test site for this study. Wolframite is identified in till samples up to 10 km down ice, whereas in previous work on the coarse fraction of till it was only identified directly overlying mineralization. Chalcopyrite and pyrite are found up to 10 km down ice, an increase over 2.5 and 5 km, respectively, achieved in previous work on the coarse fraction of the same HMC. Galena, sphalerite, arsenopyrite, and pyrrhotite are also found up to 10 km down ice after only being identified immediately overlying mineralization using the >250 µm fraction of HMC. Many of these sulfide grains are present only as inclusions in more chemically and robust minerals and would not be identified using optical methods. The extension of the wolframite dispersal train highlights the ability of MLA to identify minerals that lack distinguishing physical characteristics to aid visual identification.
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Balaram, V., and S. S. Sawant. "Indicator Minerals, Pathfinder Elements, and Portable Analytical Instruments in Mineral Exploration Studies." Minerals 12, no. 4 (March 23, 2022): 394. http://dx.doi.org/10.3390/min12040394.

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Until recently, the classic approach to mineral exploration studies was to bring the field samples/drill cores collected during field studies to the laboratory, followed by laborious analysis procedures to generate the analytical data. This is very expensive, time-consuming, and difficult for exploring vast areas. However, rapid technological advances in field-portable analytical instruments, such as portable visible and near-infrared spectrophotometers, gamma-ray spectrometer, pXRF, pXRD, pLIBS, and µRaman spectrometer, have changed this scenario completely and increased their on-site applications in mineral exploration studies. LED fluorimeter is a potential portable tool in the hydrogeochemical prospecting studies of uranium. These instruments are currently providing direct, rapid, on-site, real-time, non-destructive, cost-effective identification, and determination of target elements, indicator minerals and pathfinder elements in rock, ore, soil, sediment, and water samples. These portable analytical instruments are currently helping to obtain accurate chemical and mineralogical information directly in the field with minimal or no sample preparation and providing decision-making support during fieldwork, as well as during drilling operations in several successful mineral exploration programs. In this article, the developments in these portable devices, and their contributions in the platinum group elements (PGE), rare earth elements (REE), gold, base metals, and lithium exploration studies both on land and on the ocean bed, have been summarized with examples.
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