From Predictive Mapping of Mineral Prospectivity to Quantitative Estimation of Number of Undiscovered Prospects

Carranza, Emmanuel John M.

doi:10.1111/j.1751-3928.2010.00146.x

Cited by 69 publications

(17 citation statements)

References 78 publications

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“…These methods may be more appropriate for lesser to unexplored landscapes with few known deposits of the type sought [16][17][18]. The knowledge-driven approaches are undertaken with fuzzy logic [17,18] and Dempster-Shafer evidence belief functions [19][20][21][22][23]. Data-driven techniques offer a more objective approach to the modeling process.…”

Section: Introductionmentioning

confidence: 99%

Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS

Yusoff

Pradhan

Manap³

et al. 2015

Open Geosciences

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Abstract:The aim of this study is to test and compare two probabilistic based models (frequency ratio and weightsof-evidence) with regard to regional gold potential mapping at Kelantan, Malaysia. Until now these models have not been used for the purpose of mapping gold potential areas in Malaysia. This study analyzed the spatial relationship between gold deposits and geological factors such as lithology, faults, geochemical and geophysical data in geographical information system (GIS) software. About eight (8) gold deposits and five (5) related factors are identified and quantified for their spatial relationships. Then, all factors were combined to generate a predictive gold potential map. The predictive maps were then validated by comparing them with known gold deposits using receiver operating characteristics (ROC) and "area under the curve" (AUC) graphs. The results of validation showed accuracies of 80% for the frequency ratio and 74% for the weightsof-evidence model, respectively. The results demonstrated the usefulness of frequency ratio and weights-of-evidence modeling techniques in mineral exploration work to discover unknown gold deposits in Kelantan, Malaysia.

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Section: Introductionmentioning

confidence: 99%

Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS

Yusoff

Pradhan

Manap³

et al. 2015

Open Geosciences

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“…Mass dimensions of various types of gold deposit have been presented by Blenkinsop (1994Blenkinsop ( , 1995, Carranza (2009;2010) and Carranza et al (2009). In all these studies, different fractal dimensions are given at low and high r values, ranging from 0.54 for the low r values, to 1.52 (high r).…”

Section: Consistency With Previous Resultsmentioning

confidence: 99%

“…Box counting and mass dimensions have been determined for gold deposits (e.g. Carlson 1991;Blenkinsop 1994, Carranza 2009Carranza et al 2009;Carranza 2010;Carranza and Saghedi 2010) and for petroleum deposits (Barton and Scholz 1995), but massradius scaling exponents are hardly reported in the literature. The aim of this paper is to investigate mass dimensions and the suitability of the mass-radius scaling exponent to describe the distribution of some natural resources.…”

Section: N()~  -Dbmentioning

confidence: 99%

Scaling Laws for the Distribution of Gold, Geothermal, and Gas Resources

Blenkinsop

2014

Pure Appl. Geophys.

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Abstract:Mass dimensions of natural resources, established from power law scaling relationships between numbers of resources and distance from an origin, have important implications for ore-forming processes, resource estimation and exploration. The relation between the total quantity of resource and distance, measured by the mass-radius scaling exponent, may be even more useful. Lode gold deposits, geothermal wells and volcanoes, and conventional and unconventional gas wells are examined in this study. The scaling exponents generally increase from the lode gold through geothermal wells to gas data sets, reflecting decreasing degrees of clustering. Mass dimensions are similar to the mass-radius scaling exponents, and could be used as substitutes in the common case that data are not available for the latter. All of these resources are formed by fluid fluxes in the crust, and therefore percolation theory is an appropriate unifying framework to understand their significance. The mass dimensions indicate that none of the percolation networks that formed the deposits reached the percolation threshold. 2 AbstractMass dimensions of natural resources, established from power law scaling relationships between numbers of resources and distance from an origin, have important implications for oreforming processes, resource estimation and exploration. The relation between the total quantity of resource and distance, measured by the mass-radius scaling exponent, may be even more useful. Lode gold deposits, geothermal wells and volcanoes, and conventional and unconventional gas wells are examined in this study. The scaling exponents generally increase from the lode gold through geothermal wells to gas data sets, reflecting decreasing degrees of clustering. Mass dimensions are similar to the mass-radius scaling exponents, and could be used as substitutes in the common case that data are not available for the latter. All of these resources are formed by fluid fluxes in the crust, and therefore percolation theory is an appropriate unifying framework to understand their significance. The mass dimensions indicate that none of the percolation networks that formed the deposits reached the percolation threshold.

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“…Likewise, Fry analysis has only been used recently by to study landslide controls, but it has been employed extensively to deduce trends of structures controlling mineralization (e.g. Vearncombe and Vearncombe 1999;Carranza 2009Carranza , 2011Carranza et al 2009;Carranza and Sadeghi 2010) and geothermal fields (Carranza et al 2008b) as well as to infer post-mineralization deformation (Carranza and Sadeghi 2014). As shown by , distance distribution analysis and Fry analysis are complementary and supplementary methods that can be used in conjunction with one another to investigate certain controls on landsliding.…”

Section: Representation Of Fault Control On Susceptibility To Landslimentioning

confidence: 99%

Control of style-of-faulting on spatial pattern of earthquake-triggered landslides

Görüm

Carranza

2015

Int. J. Environ. Sci. Technol.

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Predictive mapping of susceptibility to earthquake-triggered landslides (ETLs) commonly uses distance to fault as spatial predictor, regardless of style-of-faulting. Here, we examined the hypothesis that the spatial pattern of ETLs is influenced by style-of-faulting based on distance distribution analysis and Fry analysis. The YingxiuBeichuan fault (YBF) in China and a huge number of landslides that ruptured and occurred, respectively, during the 2008 Wenchuan earthquake permitted this study because the style-of-faulting along the YBF varied from its southern to northern parts (i.e. mainly thrust-slip in the southern part, oblique-slip in the central part and mainly strike-slip in the northern part). On the YBF hanging-wall, ETLs at 4.4-4.7 and 10.3-11.5 km from the YBF are likely associated with strike-and thrust-slips, respectively. On the southern and central parts of the hanging-wall, ETLs at 7.5-8 km from the YBF are likely associated with obliqueslips. These findings indicate that the spatial pattern of ETLs is influenced by style-of-faulting. Based on knowledge about the style-of-faulting and by using evidential belief functions to create a predictor map based on proximity to faults, we obtained higher landslide prediction accuracy than by using unclassified faults. When distance from unclassified parts of the YBF is used as predictor, the prediction accuracy is 80 %; when distance from parts of the YBF, classified according to style-of-faulting, is used as predictor, the prediction accuracy is 93 %. Therefore, mapping and classification of faults and proper spatial representation of fault control on occurrence of ETLs are important in predictive mapping of susceptibility to ETLs.

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From Predictive Mapping of Mineral Prospectivity to Quantitative Estimation of Number of Undiscovered Prospects

Cited by 69 publications

References 78 publications

Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS

Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS

Scaling Laws for the Distribution of Gold, Geothermal, and Gas Resources

Control of style-of-faulting on spatial pattern of earthquake-triggered landslides

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