Use of airborne gamma-ray spectrometry for kaolin exploration

Tourlière, Bruno; Perrin, José; Berre, P. Le; Pasquet, J.F

doi:10.1016/s0926-9851(03)00040-5

Cited by 31 publications

(9 citation statements)

References 5 publications

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“…Because of these reactions, the feldspars and feldspathoids are transformed in colloidal silica and micaceous minerals of the sericite group; the latter can, in turn, lose other silica, and by oxidation transform into clayey minerals, such as illite and kaolinite. Then, kaolin is formed when the anhydrous alluminium silicates, which are found in feldspar-rich rocks, are altered by weathering or hydrothermal processes (Boulvais et al, 2000;Tourlière et al, 2003).…”

Section: Discussionmentioning

confidence: 99%

Radiometric survey for exploration of hydrothermal alteration in a volcanic area

Chiozzi

Pasquale

Verdoya

2007

Journal of Geochemical Exploration

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Section: Discussionmentioning

confidence: 99%

Radiometric survey for exploration of hydrothermal alteration in a volcanic area

Chiozzi

Pasquale

Verdoya

2007

Journal of Geochemical Exploration

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“…Among these remote sensing techniques, airborne gamma‐ray spectrometry has been widely developed for several decades (e.g., International Atomic Energy Agency, 1991), being nowadays almost systematically surveyed in regional mapping programs for regolith (e.g., Craig et al, 1999; Dauth, 1997; Martelet et al, 2006; Metelka et al, 2011a; Wilford et al, 1997; Wilford and Thomas, 2012) and solid geology reconnaissance (e.g., Metelka et al, 2011b; Schetselaar et al, 2000) or mineral potential assessment (e.g., Shives et al, 2000; Tourlière et al, 2003). Also, society's growing demand for soil information and the development of digital soil mapping has led to a rising interest among geoscientists in using the information from airborne gamma‐spectrometric surveys (Bierwirth, 1996; Lacoste et al, 2011; McKenzie and Ryan, 1999; Rawlins et al, 2007; Taylor et al, 2002; Wilford and Minty, 2006; Wong et al, 2009).…”

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confidence: 99%

Regional Regolith Parameter Prediction Using the Proxy of Airborne Gamma Ray Spectrometry

Martelet

Drufin

Tourlière

et al. 2013

Vadose Zone Journal

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Interdependence of regolith density, moisture, and chemistry parameters, as well as their influence on natural gamma ray emissions, led us to investigate systematically whether statistical models could be inferred between gamma spectrometric data and regolith parameters. A series of soil sample parameters were analyzed vs. airborne gamma ray data through multiple linear regressions. Among the approximately 20 regolith parameters modeled (chemical, textural, and mineralogical), about 50% (equally distributed in each category) were found to be predictable, with acceptable error (Radj2 > 0.5 and p value < 5%). With an independent set of texture analyses, we validated two of the predicted parameters (sand and clay contents) with fairly low residuals, with standard deviations of 22 and 16%, respectively. Further statistical investigations revealed why a large number of soil parameters could successfully be modeled in this sedimentary environment. We showed that the main gamma emitters are hosted in weathering products and leached detrital materials. Two main mineral assemblages correlate with gamma variables: (i) fine‐grained weathering clays (with correlated Al, Fe, Mn, Mg, Pb, and V elements), and (ii) residual K‐rich minerals, interpreted as feldspar and/or muscovite (correlated with Na and Sr). Additionally, two chemical elements, Si and Ca, have specific behaviors and can scarcely be characterized by the gamma data: they apparently mitigate Ɣ signatures.

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“…Interpretation of this data is important for mineral exploration, specifically radioactive elements. Several methods have been conducted for interpretation of geophysical airborne data (Abd El Nabi, 1995;Ranjbar et al, 2001;Tourlière et al, 2003;Airo and Mertanen, 2008). Statistical methods are customized for determination of uranium anomaly locations and extensions.…”

Section: Introductionmentioning

confidence: 99%

Identification of uranium targets based on airborne radiometric data analysis by using multifractal modeling, Tark and Avanligh 1:50 000 sheets, NW Iran

Afzal

Zarifi

Yasrebi

2012

Nonlin. Processes Geophys.

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Abstract.Airborne geophysical anomaly separation using conventional statistics and the fractal/multifractal concentration-area (C-A) method has been applied to the Tark and Avanligh 1:50 000 sheets in NW Iran. The geophysical survey that resulted in the airborne geophysical data was conducted for uranium exploration in both areas. Selected anomalies were further investigated by using surface radiometric data. Firstly, threshold values to define anomalies were determined and compared by means of conventional statistical methods. Several relatively large anomalies were identified with uranium (U) equal to 1.7 eppm and 1.9 eppm in the Tark and Avanligh areas, respectively; locally these U anomalies have magnitudes exceeding 3.5 eppm in both areas. Log-log plots obtained for the C-A method indicate existence of two separate stages of U enrichment, with a major event being the cause of U concentration values above 6.1 and 3.4 eppm in the Tark and Avanligh areas, respectively. These higher intensity anomalies are located in the northwestern part of the Tark and in the southern part of the Avanligh sheets. In both areas, the C-A anomalies were further investigated using ground radiometric data and XRF analysis revealing higher than 150 and 280 ppm U concentration values in the two areas, respectively. Correlation between the anomalies and geological units show that the anomalies are associated with limestone and sandstone units.

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Use of airborne gamma-ray spectrometry for kaolin exploration

Cited by 31 publications

References 5 publications

Radiometric survey for exploration of hydrothermal alteration in a volcanic area

Radiometric survey for exploration of hydrothermal alteration in a volcanic area

Regional Regolith Parameter Prediction Using the Proxy of Airborne Gamma Ray Spectrometry

Identification of uranium targets based on airborne radiometric data analysis by using multifractal modeling, Tark and Avanligh 1:50 000 sheets, NW Iran

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