Fluid inclusion characteristics of Longmenshan copper-polymetallic deposit in Yueshan, Anhui Province, China

Liu, Zhongfa; Shao, Yongjun; Shu, Zhiming; Nanhai, Peng; Xie, Youliang; Zhang, Yu

doi:10.1007/s11771-012-1320-y

Cited by 5 publications

(11 citation statements)

References 7 publications

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“…Figure 16 shows the favorable areas for ore formation by the combined pore water pressure and volumetric strain superimposed on the locations of marble and skarn. It can be seen from these fig-ures that the prediction results of the ore-forming process simulation are closely related to the locations of marble and skarn, consistent with the geological ground studies in the area (Li et al 2008;Liu et al 2012).…”

Section: Quantitative Analysis and Prediction Of Metallogenic Geologisupporting

confidence: 84%

“…The information and weighting of evidence (WoE) methods are the main statistical techniques (Batley et al 2002). The information method involves a study of the distribution of ore-forming settings in each block in the study area (Liu et al 2012(Liu et al , 2013. The statistical analysis of the sum of the information about each metallogenic condition in a certain block is related to the size of the unit chosen.…”

Section: Methods Of 3d Mineral Potential Mappingmentioning

confidence: 99%

“…2. The information amount method is a statistical analysis method (Liu et al 2012(Liu et al , 2013. It is based on various basic data, and the information value of each prediction factor is obtained through statistics.…”

Section: The Calculation Process Of the Woe Methodsmentioning

confidence: 99%

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Three-Dimensional Mineral Potential Mapping for Reducing Multiplicity and Uncertainty: Kaerqueka Polymetallic Deposit, QingHai Province, China

2019

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This study focuses on the selection of a method combining simulations of mineralizing processes with three-dimensional (3D) mapping to quantitatively predict locations of concealed mineralization and to reduce uncertainty and multiplicity. The simulation of oreforming processes for concealed mineralization requires the assessment of a regionÕs structural geology, ages of lithological units, degree of metamorphism, and role of magmatism in the genesis of mineralization. The evolution of various factors affecting the development of geological processes in space and time is discussed, including the assessment of models combining regional deformation-magmatic activity-mineralized hydrothermal fluid based on empirical knowledge. Given that metallogeny is a study of the genesis and regional distribution of mineral deposits and emphasizes their spatial and temporal relationships, this paper uses empirical knowledge to predict the locations of concealed mineral deposits. Furthermore, the analysis of 3D geological modeling of concealed orebodies is a process that contributes to understanding the metallogenesis of mineral deposits. In this study of the Kaerqueka skarn and porphyritic deposits, geological, geographic, remote sensing and geochemical data collected from this region are processed using computer modeling techniques available in the Surpac software to establish a digital representation of the mineral field. The ''block mapping modeling'' theory, geostatistical methods, simulations of oreforming processes, and 3D mapping methods are then combined to predict the locations of the most promising areas for concealed mineral deposits around the Kaerqueka deposit. This research introduces a new method for predicting and evaluating the locations of concealed orebodies by reducing multiplicity and uncertainty.

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Section: Quantitative Analysis and Prediction Of Metallogenic Geologisupporting

confidence: 84%

Section: Methods Of 3d Mineral Potential Mappingmentioning

confidence: 99%

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Three-Dimensional Mineral Potential Mapping for Reducing Multiplicity and Uncertainty: Kaerqueka Polymetallic Deposit, QingHai Province, China

2019

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“…In addition, several universities and science institutes, namely, China University of Geoscience and Central South University, have discussed the metallogenic mechanism of Yueshan mine, considering the correlation of metallogenesis with magmatite, strata and geological structure. However, there is little report on the hydatogenesis mechanism of Yueshan mine [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Metallogenic Fluid Characteristics of Yueshan Cu-polymetallic Deposit

Zhang¹,

Hu²,

Zha³

et al. 2019

IJHT

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Yueshan Cu-polymetallic deposit Located between the Yangtze Plate, the Qinling-Dabie orogenic belt and is characterized by excellent metallogenic conditions.This paper attempts to disclose the hydatogenesis mechanism of Yueshan Cu-polymetallic deposit. The metallogenic mechanism of material and fluid sources under the action of heat sources was discussed through fluid inclusion analysis. In this way, the physical-chemical conditions and fluid composition of hydatogenesis were determined, revealing the fluid and temperature features of hydatogenesis. It is concluded that the metallogenic fluid of Yueshan Cupolymetallic deposit belongs to the type of Na++Ca2++K++Mg++Cl-(SO42-), and the hot magma fluid was mineralized under 450~521 ℃. Yanshanian magmatic intrusion provided heat source for metallogenic hydrothermal fluid of Yueshan Cu-polymetallic deposit. The fluid activity underwent skarn hydrothermal stage and tectonic hydrothermal stage, and the skarn minerals formed in the early stage were superimposed and enriched.

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“…Since the first drill intersected the high-grade Cu-Fe skarn in 1960 in this ore field, it has been explored intensively, resulting in the Cu-Fe deposits discovered extensively and irregularly in the field. These deposits and their related felsic intrusion, the Yueshan intrusion, have been studied by many researchers [58][59][60][61][62][63][64][65][66][67]. Most of these studies focus on the geological and geochemical characteristics, genesis and dating of ore-formation and magmatism for understanding mineralization processes.…”

Section: Introductionmentioning

confidence: 99%

Quantitative 3D Association of Geological Factors and Geophysical Fields with Mineralization and Its Significance for Ore Prediction: An Example from Anqing Orefield, China

Qin

Liu

2018

Minerals

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Quantitative 3D spatial association of geological factors and geophysical fields with orebodies is critical for ore prediction. The Anqing orefield, a principal Cu-Fe orefield in China, is closely associated with the Yueshan intrusion. By compiling the data from drilling and tunnelling exploration, Controlled Source Audiofrequency Magnetotelluric (CSAMT) surveying and the computational modelling of magmatic intrusion's cooling process, we constructed models of the Yueshan intrusion, ore-favourable carbonate formation, orebodies, resistivity field and volume strain field. These models are used as evidential factors to analyse their spatial association with mineralization by the weights-of-evidence (WofE) method. The location of orebodies is closely related to the shape of the contact zone of the Yueshan intrusion. The spaces with the distance ≤200 m to the concaves that were selected by minimum principal curvature (|K min | ≥ 0.0025) from contact zones, are very favourable for localization of orebodies. Most orebodies are not located in the spaces of the lowest resistivity, suggesting that the lowest resistivity cannot be used as an indicator for mineralization. The spaces with higher positive volumetric strain have higher positive weights with orebodies, implying that the mineralization is positively related to the positive volumetric strain. The spaces of all evidential factors that had positive correlation with mineralization were integrated to create a 3D prospectivity map by calculating posterior probability. Five areas with higher posterior probability, indicating higher prospectivity potential, are selected as targets for future exploration.

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Fluid inclusion characteristics of Longmenshan copper-polymetallic deposit in Yueshan, Anhui Province, China

Cited by 5 publications

References 7 publications

Three-Dimensional Mineral Potential Mapping for Reducing Multiplicity and Uncertainty: Kaerqueka Polymetallic Deposit, QingHai Province, China

Three-Dimensional Mineral Potential Mapping for Reducing Multiplicity and Uncertainty: Kaerqueka Polymetallic Deposit, QingHai Province, China

Metallogenic Fluid Characteristics of Yueshan Cu-polymetallic Deposit

Quantitative 3D Association of Geological Factors and Geophysical Fields with Mineralization and Its Significance for Ore Prediction: An Example from Anqing Orefield, China

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