[Extract] Introduction: The Kalgoorlie district of the Yilgarn Craton contains the world-class Golden Mile deposit, Mt Charlotte and several smaller gold deposits (Bateman and Hagemann, 2004; Bateman and Bierlein, 2007). This presentation describes targeting techniques that successfully simulate discovery of known gold deposits in the Yilgarn Craton of Western Australia, and applies these techniques to the discovery of a hypothetical Golden Mile located under several tens of metres of transported cover. The targeting techniques and their quantitative and qualitative efficiencies at locating known gold mineralisation are described in the Yilgarn Gold Targeting Atlas (YETA; Witt et al., 2014, in press), a collaboration between the Geological...
The Plutonic Marymia Greenstone Belt (PMGB) is the 6th largest gold camp in Western Australia. An ea...
[Extract] Archean greenstone belts are a well-known source of gold deposits. If we ignore the giant ...
The approach taken in this paper, namely synthesising a wealth of previous information with new data...
[Extract] Introduction: The Kalgoorlie district of the Yilgarn Craton contains the world-class Golde...
The Yilgarn Craton of Western Australia is well known for its gold endowment (more than 324 Moz, or ...
Part 2 of the Yilgarn Gold Exploration Targeting Atlas evaluates 22 targeting criteria that are cons...
The Granites-Tanami Orogen (GTO), a poorly exposed component of the North Australian Craton, is host...
This study used robust spatial statistics to systematically examine regional-scale targeting criteri...
Many mineral deposits lie under thick accumulations of post-mineral cover, making exploration expens...
Transported and typically weathered material that covers much of Australia presents a challenge to t...
The Neoarchaean Kalgoorlie Gold Field contains the giant Golden Mile and world-class Mt Charlotte de...
Discovery rates for all metals, including gold, are declining, the cost per significant discovery is...
Models for exploration targeting are often developed by assessing known gold deposits in a region, a...
AbstractDiscovery rates for all metals, including gold, are declining, the cost per significant disc...
International audienceGeodynamic models, geological-geophysical interpretations, and isotope analysi...
The Plutonic Marymia Greenstone Belt (PMGB) is the 6th largest gold camp in Western Australia. An ea...
[Extract] Archean greenstone belts are a well-known source of gold deposits. If we ignore the giant ...
The approach taken in this paper, namely synthesising a wealth of previous information with new data...
[Extract] Introduction: The Kalgoorlie district of the Yilgarn Craton contains the world-class Golde...
The Yilgarn Craton of Western Australia is well known for its gold endowment (more than 324 Moz, or ...
Part 2 of the Yilgarn Gold Exploration Targeting Atlas evaluates 22 targeting criteria that are cons...
The Granites-Tanami Orogen (GTO), a poorly exposed component of the North Australian Craton, is host...
This study used robust spatial statistics to systematically examine regional-scale targeting criteri...
Many mineral deposits lie under thick accumulations of post-mineral cover, making exploration expens...
Transported and typically weathered material that covers much of Australia presents a challenge to t...
The Neoarchaean Kalgoorlie Gold Field contains the giant Golden Mile and world-class Mt Charlotte de...
Discovery rates for all metals, including gold, are declining, the cost per significant discovery is...
Models for exploration targeting are often developed by assessing known gold deposits in a region, a...
AbstractDiscovery rates for all metals, including gold, are declining, the cost per significant disc...
International audienceGeodynamic models, geological-geophysical interpretations, and isotope analysi...
The Plutonic Marymia Greenstone Belt (PMGB) is the 6th largest gold camp in Western Australia. An ea...
[Extract] Archean greenstone belts are a well-known source of gold deposits. If we ignore the giant ...
The approach taken in this paper, namely synthesising a wealth of previous information with new data...