Alteration mineral mapping using masking and Crosta technique for mineral exploration in mid-vegetated areas: a case study in Areletuobie, Xinjiang (China)

Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM)+ data have been successfully employed in the field of mineral exploration to identify key minerals over arid and semi-arid terrains. However, redundant vegetation and cloud may seriously interfere with the discrimination of the minerals with diagnostic features. Therefore, in this study, we use masking technique to eliminate the negative influence of vegetation and cloud and Crosta technique to identify the diagnostic features of hydroxyl-minerals, carbonate-minerals and iron oxides. Then the anomalies were endowed with special colours and overlapped with the remote-sensing and geochemical data, overlaying images as remote-sensing anomalies. The mineral exploration work was carried through by synthetic analysis of the remote-sensing images, geochemical data and structures. Finally, areas with high correlation between the occurrence of hydrothermal alteration and presence of main faults and geochemical anomalies were considered as mineral exploration targets worthy of further detailed exploration programmes.

Using geostatistical Bayesian Updating to integrate airborne radiometrics and soil geochemistry to improve mapping for mineral exploration

Mineral exploration programmes around the world use data from remote sensing, geophysics and direct sampling. On a regional scale, the combination of airborne geophysics and ground-based geochemical sampling can aid geological mapping and economic minerals exploration. The fact that airborne geophysical and traditional soil-sampling data are generated at different spatial resolutions means that they are not immediately comparable due to their different sampling density. Several geostatistical techniques, including indicator cokriging and collocated cokriging, can be used to integrate different types of data into a geostatistical model. With increasing numbers of variables the inference of the cross-covariance model required for cokriging can be demanding in terms of effort and computational time. In this paper a Gaussian-based Bayesian updating approach is applied to integrate airborne radiometric data and ground-sampled geochemical soil data to maximise information generated from the soil survey, to enable more accurate geological interpretation for the exploration and development of natural resources. The Bayesian updating technique decomposes the collocated estimate into a production of two models: prior and likelihood models. The prior model is built from primary information and the likelihood model is built from secondary information. The prior model is then updated with the likelihood model to build the final model. The approach allows multiple secondary variables to be simultaneously integrated into the mapping of the primary variable. The Bayesian updating approach is demonstrated using a case study from Northern Ireland where the history of mineral prospecting for precious and base metals dates from the 18th century. Vein-hosted, strata-bound and volcanogenic occurrences of mineralisation are found. The geostatistical technique was used to improve the resolution of soil geochemistry, collected one sample per 2 km2, by integrating more closely measured airborne geophysical data from the GSNI Tellus Survey, measured over a footprint of 65 x 200 m. The directly measured geochemistry data were considered as primary data in the Bayesian approach and the airborne radiometric data were used as secondary data. The approach produced more detailed updated maps and in particular maximized information on mapped estimates of zinc, copper and lead. Greater delineation of an elongated northwest/southeast trending zone in the updated maps strengthened the potential to investigate stratabound base metal deposits.

Palaeosurfaces mapping and associated supergene copper deposits identification as mineral exploration tool Itapeva and Ribeirão Branco region – Ribeira Valley, state of São Paulo, Brazil

Alguns exemplos de formação de minério supérgeno e sua interação com a morfogênese (paleosuperfícies) e resistência mineralógica são discutidas aqui. Registros geomorfológicos e mineralógicos na caracterização paleosuperfícies associam o intemperismo de minerais primários e sua relação com as concentrações de cobre e minério de ferro no sudeste do estado de São Paulo, Brasil. Distinguiram-se duas paleosuperfícies geradas por várias fases de intemperismo e controladas pela estrutura geológica. A primeira, mais antiga, é a paleosuperfície superior (900 - 1000 m de altitude), situado em Ribeirão Branco (Alto do Brancal), foram desenvolvidas em rochas silico-calcários. É formada por lateritas de ferro enriquecido por produtos secundários de cobre. O segundo nível de paleosuperfície é mais novo está localizado na região de Itapeva (Santa Blandina e Bairro do Sambra). Esta paleosuperfície é formada por percolação de cobre através da rocha alterada (saprolito). Outras características podem ser observadas como produtos neoformados em lateritas. Eles são classificados em dois tipos: a argila como produtos silico-cuprífero (com quantidades significativas de ferro) e de cobre minerais (crisocola, fixas nas vertentes). Essas feições reconheceram a presença de minérios de cobre e seu controle morfogénetico ajudando na exploração e prospecção de minérios supérgenos.

U.S. Antarctic policy : Hearing...94th Congress, 1st Session on U.S. policy with respect to mineral exploration and exploitation in the Antarctic /

Executive hearing held May 15, 1975; made public July 6, 1975

ACE research briefing paper 008 : How to Design and Manage Successful Joint Ventures in the Exploration Space

Joint ventures are formed and dissolved regularly in the mining industry. What impact do such changes have on the viability of mineral exploration projects? The Australian Centre for Entrepreneurship Research (ACE) has taken 9 years' worth of data (2002-2011) on 1,025 joint ventures in the Australasian mining industry and studied trends in fomentation, dissolution, and reconfiguration and how they impact project outcomes. This research is generously sponsored by the Queensland Exploration Council (QEC) and the Australian Research Council (ARC).

Integração de dados em ambiente SIG para mapeamento de favorabilidade mineral de ouro na ilha cristalina de Rivera (Uruguai)

Guias para exploração mineral são normalmente baseados em modelos conceituais de depósitos. Esses guias são, normalmente, baseados na experiência dos geólogos, em dados descritivos e em dados genéticos. Modelamentos numéricos, probabilísticos e não probabilísticos, para estimar a ocorrência de depósitos minerais é um novo procedimento que vem a cada dia aumentando sua utilização e aceitação pela comunidade geológica. Essa tese utiliza recentes metodologias para a geração de mapas de favorablidade mineral. A denominada Ilha Cristalina de Rivera, uma janela erosional da Bacia do Paraná, situada na porção norte do Uruguai, foi escolhida como estudo de caso para a aplicação das metodologias. A construção dos mapas de favorabilidade mineral foi feita com base nos seguintes tipos de dados, informações e resultados de prospecção: 1) imagens orbitais; 2) prospecção geoquimica; 3) prospecção aerogeofísica; 4) mapeamento geo-estrutural e 5) altimetria. Essas informacões foram selecionadas e processadas com base em um modelo de depósito mineral (modelo conceitual), desenvolvido com base na Mina de Ouro San Gregorio. O modelo conceitual (modelo San Gregorio), incluiu características descritivas e genéticas da Mina San Gregorio, a qual abrange os elementos característicos significativos das demais ocorrências minerais conhecidas na Ilha Cristalina de Rivera. A geração dos mapas de favorabilidade mineral envolveu a construção de um banco de dados, o processamento dos dados, e a integração dos dados. As etapas de construção e processamento dos dados, compreenderam a coleta, a seleção e o tratamento dos dados de maneira a constituírem os denominados Planos de Informação. Esses Planos de Informação foram gerados e processados organizadamente em agrupamentos, de modo a constituírem os Fatores de Integração para o mapeamento de favorabilidade mineral na Ilha Cristalina de Rivera. Os dados foram integrados por meio da utilização de duas diferentes metodologias: 1) Pesos de Evidência (dirigida pelos dados) e 2) Lógica Difusa (dirigida pelo conhecimento). Os mapas de favorabilidade mineral resultantes da implementação das duas metodologias de integração foram primeiramente analisados e interpretados de maneira individual. Após foi feita uma análise comparativa entre os resultados. As duas metodologias xxiv obtiveram sucesso em identificar, como áreas de alta favorabilidade, as áreas mineralizadas conhecidas, além de outras áreas ainda não trabalhadas. Os mapas de favorabilidade mineral resultantes das duas metodologias mostraram-se coincidentes em relação as áreas de mais alta favorabilidade. A metodologia Pesos de Evidência apresentou o mapa de favorabilidade mineral mais conservador em termos de extensão areal, porém mais otimista em termos de valores de favorabilidade em comparação aos mapas de favorabilidade mineral resultantes da implementação da metodologia Lógica Difusa. Novos alvos para exploração mineral foram identificados e deverão ser objeto de investigação em detalhe.

Mapeamento de Paleosuperfícies associadas a identificação de depósitos supérgenos de cobre como ferramenta de exploração mineral na região de Itapeva e Ribeirão Branco- Vale do Ribeira, estado de São Paulo, Brasil

A few examples of supergene ore formation and their interaction with morphogenesis (palaeosurfaces) and weathering mineralogy are discussed. Geomorphological and mineralogical records to characterize palaeosurfaces associate the weathering of primary minerals and their relationship with concentrations of cooper and iron ore deposits in southeastern state of São Paulo, Brazil. We have distinguished two palaeosurfaces generated by several weathering phases and controlled by the geological framework. The first and oldest upper palaeosurfaces (900 - 1000 m a.s.l.), situated in Riberão Branco (Alto do Brancal), were developed on silico-limestones. It is formed by typical iron laterites enriched by secondary products of cooper. The second and younger level palaeosurfaces located in Itapeva (Santa Blandina and Bairro do Sambra). This palaeosurface is formed by copper percolating through the weathered rock (saprolite). Other features can be observed like neo-formed products in laterites. They are classified into two types: clay like silico- cupriferous products (with noticeable amounts of iron) and copper minerals (crysocolla, in their flat slopes). These features allowed the presence of copper ores and their morphogenesis control will help in the exploration and prospecting of supergene ore mineral.

Geoelectrical prospection of disseminated sulfide mineral occurrences in Camaquã Sedimentary Basin, Rio Grande do Sul State, Brazil

The mineral exploration is a complex activity that should involve a combination of direct and indirect techniques of geological investigation. The growing demand for base metals in the national and international market provides the revaluation of mineral occurrences that can become deposits and mines. This paper presents the results of the electrical resistivity and induced polarization geophysical methods in azimuthal arrangement, applied in a mineral occurrence of disseminated copper sulfides, previously studied through trenches and core drilling, located in the Camaquã Sedimentary Basin, Rio Grande do Sul State, Brazil. The inversion models indicate the coincidence of high chargeability and low resistivity values. The integration of geophysical data permitted the elaboration of 3D attributes visualization models for the mineralization enclosed in volcanic tuffs. The integrated geophysical and geological analysis indicates the potential of a new mineralized area. © 2012 Sociedade Brasileira de Geofísica.

Definição da assinatura geoquímica multielemento secundária dos depósitos Canoas e Perau - Vale do Ribeira - PR e sua aplicação como ferramenta na seleção de novas áreas potenciais para pesquisa mineral

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Magnetometric exploration in intrusive basic with evidence of gold in northern region of the Camaquã Sedimentary Basin (RS)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Data-driven fuzzy analysis in quantitative mineral resource assessment

The integration of geo-information from multiple sources and of diverse nature in developing mineral favourability indexes (MFIs) is a well-known problem in mineral exploration and mineral resource assessment. Fuzzy set theory provides a convenient framework to combine and analyse qualitative and quantitative data independently of their source or characteristics. A novel, data-driven formulation for calculating MFIs based on fuzzy analysis is developed in this paper. Different geo-variables are considered fuzzy sets and their appropriate membership functions are defined and modelled. A new weighted average-type aggregation operator is then introduced to generate a new fuzzy set representing mineral favourability. The membership grades of the new fuzzy set are considered as the MFI. The weights for the aggregation operation combine the individual membership functions of the geo-variables, and are derived using information from training areas and L, regression. The technique is demonstrated in a case study of skarn tin deposits and is used to integrate geological, geochemical and magnetic data. The study area covers a total of 22.5 km(2) and is divided into 349 cells, which include nine control cells. Nine geo-variables are considered in this study. Depending on the nature of the various geo-variables, four different types of membership functions are used to model the fuzzy membership of the geo-variables involved. (C) 2002 Elsevier Science Ltd. All rights reserved.

Pull the plug or take the plunge: Multiple opportunities and the speed of venturing decisions in the Australian mining industry

Effectively capturing opportunities requires rapid decision-making. We investigate the speed of opportunity evaluation decisions by focusing on firms' venture termination and venture advancement decisions. Experience, standard operating procedures, and confidence allow firms to make opportunity evaluation decisions faster; we propose that a firm's attentional orientation, as reflected in its project portfolio, limits the number of domains in which these speed-enhancing mechanisms can be developed. Hence firms' decision speed is likely to vary between different types of decisions. Using unique data on 3,269 mineral exploration ventures in the Australian mining industry, we find that firms with a higher degree of attention toward earlier-stage exploration activities are quicker to abandon potential opportunities in early development but slower to do so later, and that such firms are also slower to advance on potential opportunities at all stages compared to firms that focus their attention differently. Market dynamism moderates these relationships, but only with regard to initial evaluation decisions. Our study extends research on decision speed by showing that firms are not necessarily fast or slow regarding all the decisions they make, and by offering an opportunity evaluation framework that recognizes that decision makers can, in fact often do, pursue multiple potential opportunities simultaneously.