Geochemical metallogenic potential based on cluster analysis: A new method to extract valuable information for mineral exploration from geochemical data

Zhou, Shuguang; Zhou, Kefa; Wang, Jinlin

doi:10.1016/j.apgeochem.2020.104748

Cited by 13 publications

(7 citation statements)

References 30 publications

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“…AP maximizes the total similarity between exemplars and related data points to generate clusters. An exemplar is a representative example of a cluster, and a member of the input set 42 – 46 .…”

Section: Methodsmentioning

confidence: 99%

Macro-seepage based potential new hydrocarbon prospects in Assam-Arakan Basin, India

Boruah

Verma

Rasheed

et al. 2022

Sci Rep

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Active macro seepages of methane that occur in between the north bank of the Brahmaputra river and Himalayan foothill region of Assam Arakan Basin, India, indicate the presence of hydrocarbon accumulation in the subsurface, but the hydrocarbon prospects in this region are not well studied. We carried out an extensive field sampling, which included a total of 58 sediment core collections from an active gas seepage location and nearby areas at a depth of 2–2.5 m. Our sample locations are placed at 1 km intervals laterally. We performed laboratory investigations and mapped near-surface chemical alterations associated with active macro seepages and microseepages. The analysis of geochemical composition of hydrocarbon gases in the sediment indicates both the biogenic and thermogenic origins of seeped hydrocarbons. The stable isotope analysis of methane suggests the presence of thermogenic as well as mixed biogenic-thermogenic gases. The presence of such mixing of gases is caused by the secondary alteration processes during their migration through potential faults and fractures. The trace elements of the sediments show anomalous concentrations at different parts of the study area, with a wide range of concentrations for Ba (54 to 492 ppm), Cu (1–25 ppm), Cr (61–329 ppm), Ni (1–42 ppm), Pb (2–48 ppm), Th (2–32 ppm), U (4–39 ppm), V (19–133 ppm) and U (0.87–6.5 ppm). There are higher concentrations of adsorbed gases, trace elements, and microbes along the identified lineaments. Such higher concentration can be triggered by high hydrocarbon-oxidizing bacteria count, which is greater than 104 cfu/gm of soil of bacterial growth around the lineaments. We identified potential hydrocarbon prospects based on the macro and micro seepage analysis using integrated geological, geochemical and microbial techniques in the study area.

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Section: Methodsmentioning

confidence: 99%

Macro-seepage based potential new hydrocarbon prospects in Assam-Arakan Basin, India

Boruah

Verma

Rasheed

et al. 2022

Sci Rep

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“…Since the fractal theory was introduced into geology, it has been widely applied and developed in geological tectonics, , mineral prospecting, pore distribution, , rock damage, and fragmentation . In addition, the self-similar linear fractal is often used to study the distribution of geological structures.…”

Section: Experiments and Geostatisticsmentioning

confidence: 99%

Implications of Geological Conditions on Gas Contents: A Case Study in the Pingdingshan Coalfield

et al. 2023

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Coalbed methane occurrence and its geological control factors are important for coal and gas co-mining. In recent years, more than 50% of the outburst accidents occurred near the faults and the thickening strips in Chinese mines. Therefore, studying the gas occurrence and its controlling factors is vital to prevent gas disasters in outburst mines with complex geology. In this paper, the distributions of faults, coal thickness, and gas content were characterized and analyzed based on fractal theory and geostatistics. Then, finer coal thickness inverted by the cross-layer boreholes for gas extraction was analyzed at a single working face. The geological control characteristics of gas contents were finally studied. The results show that coal thickness, burial depth, and fault complexity are the geological factors controlling gas contents from a regional to local scale. The sedimentary environment determines the regional coal thickness distribution and even stratification, which leads to higher gas content in the eastern thick-coal region than in the west. And the gas content varies linearly with burial depth in the same geological zonation. The fault fractal dimension is a quantitative representation of fault complexity. The dense distribution of minor faults is why the sizable fractal dimension in the local region is crucial in controlling the uneven enrichment of gas content. Therefore, more refined geological detection and characterization is the way to gas precision control in the future.

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“…Estos resultados son coherentes con lo obtenido por Zhou et al, (2020), quienes definieron asociaciones Figura 6. Plano de anomalías geoquímicas de elementos pathfinders para vetas de metales preciosos (Au-Ag).…”

Section: Discusionunclassified

“…Asimismo, las anomalías de los planos de elementos perjudiciales en los procesos metalúrgicos de recuperación coinciden espacialmente con los datos metalúrgicos de recuperaciones del yacimiento Cascabel-Alpala (recuperación por flotación) y de la mina de Au La Merced de Buenos Aires (recuperación por lixiviación con NaCN). De acuerdo con Zhou et al (2020), la condición más representativa de validación de los resultados en estudios de exploración es la superposición de la información y datos de yacimientos conocidos sobre los planos de anomalías. Por lo tanto, todo esto sugiere que la aplicación de un modelo geometalúrgico influye en la exploración de recursos minerales.…”

Section: Discusionunclassified

“…En el estudio realizado por Zhou et al (2020), se denota la importancia de la aplicación del análisis composicional en la exploración geoquímica, donde los autores han definido targets potenciales de exploración de Au a partir de datos geoquímicos del distrito mineralizado de Xinjiang-China. Las asociaciones de elementos pathfinders se han definido mediante sus PC, y los resultados de las estimaciones de anomalías geoquímicas se han validado con la superposición de yacimientos de Au conocidos.…”

Section: Introductionunclassified

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Modelo geometalúrgico para la exploración de recursos minerales

Castillo

Dávila

2022

Rev. Inst. investig. Fac. minas metal cienc. geogr

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Esta investigación tiene como objetivo desarrollar un modelo geometalúrgico para la exploración minera integrando la información geológica, geoquímica y metalúrgica de una zona con potencial minero ubicada en la provincia de Imbabura al NW del Ecuador. El procesamiento estadístico de la base de datos geoquímicos conformada por 37 elementos provenientes de 448 muestras de sedimentos fluviales se realizó aplicando la técnica de análisis composicional con las trasformaciones log-cociente clr e ilr mediante el software CodaPack, y se definieron cuatro asociaciones multielementales: pathfinders de pórfidos de Cu-Au, pathfinders de vetas de Au-Ag, y elementos perjudiciales en los procesos metalúrgicos de flotación y lixiviación respectivamente. Asimismo, mediante la evaluación geoestadística y la estimación del kriging ordinario se obtuvieron los planos de anomalías geoquímicas para cada asociación multielemental; consecuentemente, los resultados anómalos fueron espacialmente coherentes con las ocurrencias de minerales mapeadas, así como también con los datos petromineragráficos y los datos de recuperación metalúrgica de los yacimientos pórfido de Cu-Au de Cascabel-Alpala y de la mina de Au La Merced de Buenos Aires. Además, en base al comportamiento anómalo presente al SE de los cuatro planos geoquímicos, se ha definido un target con alto potencial prospectivo denominado “mineralización inferida Río San Gerónimo”.

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Geochemical metallogenic potential based on cluster analysis: A new method to extract valuable information for mineral exploration from geochemical data

Cited by 13 publications

References 30 publications

Macro-seepage based potential new hydrocarbon prospects in Assam-Arakan Basin, India

Macro-seepage based potential new hydrocarbon prospects in Assam-Arakan Basin, India

Implications of Geological Conditions on Gas Contents: A Case Study in the Pingdingshan Coalfield

Modelo geometalúrgico para la exploración de recursos minerales

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