2245 |
Systematization of deep-sea polymetallic sulfides of the Mid-Atlantic Ridge |
Svetlana Babaeva |
T17.14 - The Mineral system approach: the paradigm and future trends |
2245.pdf |
5161 |
Brownfield Exploration as a Strategic Initiative to Extending the Life of Mine |
Mr. Hendrik Pretorius |
T17.14 - The Mineral system approach: the paradigm and future trends |
5161.pdf |
5210 |
The international diamond business: the role of southern African producers in change and consolidation |
Dr. John Bristow |
T17.14 - The Mineral system approach: the paradigm and future trends |
5210.pdf |
4522 |
Geological analysis of aeromagnetic and gravity data from Eastern Tianshan, China: implications for potential porphyry Cu-Mo polymetallic deposits exploration |
Dr. Fan Xiao |
T17.13 - Quantitative geoscience data analysis for mineral exploration targeting |
4522.pdf |
4310 |
Integrated Exploration Platform: Software Tools for Integrated Multi-Data Interpretation |
Prof. Eun-Jung Holden |
T17.13 - Quantitative geoscience data analysis for mineral exploration targeting |
4310.pdf |
5331 |
Towards the resolution of dipping contacts in the Capricorn Orogen using AEM |
Ms. Sasha Banaszczyk |
T17.13 - Quantitative geoscience data analysis for mineral exploration targeting |
5331.pdf |
2457 |
Assessment of Geological-geophysical methods for prospecting of chromite deposits in Camagüey province, Cuba |
Mr. Ruben Gonzalez |
T17.13 - Quantitative geoscience data analysis for mineral exploration targeting |
2457.pdf |
1563 |
Molybdenum Mines Prospecting Using New Developed MTEM System |
Professor Qingyun Di |
T17.13 - Quantitative geoscience data analysis for mineral exploration targeting |
1563.pdf |
4641 |
Mineral Resource Assessment of Porphyry Cu-Mo Deposits in Gobi Desert Landscape of Eastern Tianshan, China |
Prof. JIANGUO CHEN |
T17.12 - Quantitative geoscience data analysis for mineral exploration targeting |
4641.pdf |
2162 |
3D gravity imaging based on inversion of pseudomagnetic amplitude data |
Mr. Zelin Li |
T17.12 - Quantitative geoscience data analysis for mineral exploration targeting |
2162.pdf |
5664 |
Women In Geoscience Presentation - Sponsored by South32 |
|
T17.12 - Quantitative geoscience data analysis for mineral exploration targeting |
|
2705 |
Scale dependence of structural control on gold deposits in Kumasi Basin, Ghana |
Ms. Bijal Chudasama |
T17.12 - Quantitative geoscience data analysis for mineral exploration targeting |
2705.pdf |
4120 |
Application of a Singular Value Decomposition (SVD) for Identification of Au Anomalies in the Jiaodong Gold Field, Eastern Shandong Peninsula, Eastern China |
Ms. Luxue Qin |
T17.12 - Quantitative geoscience data analysis for mineral exploration targeting |
4120.pdf |
5378 |
Rank Statistical Analysis of Selected South African Gold Endowment |
Mr. John Paul Hunt |
T17.12 - Quantitative geoscience data analysis for mineral exploration targeting |
5378.pdf |
0 |
Women in Geoscience presentation - sponsored by South32 |
Noleen Pauls |
T17.12 - Quantitative geoscience data analysis for mineral exploration targeting |
|
3674 |
Mineral Potential Mapping and Resource Estimation with Artificial Neural Networks: Approaches and Use Cases |
Mr. Andreas Knobloch |
T17.11 - Quantitative geoscience data analysis for mineral exploration targeting |
3674.pdf |
1084 |
Application of the pattern recognition technique to locate subsurface magnetic anomaly |
Mr. John Stephen Kayode |
T17.11 - Quantitative geoscience data analysis for mineral exploration targeting |
1084.pdf |
1857 |
Mathematical assumptions of prospectivity modelling with special emphasis on joint conditional independence |
Mr. Helmut Schaeben |
T17.11 - Quantitative geoscience data analysis for mineral exploration targeting |
1857.pdf |
3652 |
Potential mapping with interpolated covariables |
Mr. Helmut Schaeben |
T17.11 - Quantitative geoscience data analysis for mineral exploration targeting |
3652.pdf |
122 |
Quantitative prediction and evaluation of seafloor hydrothermal sulfide resources in the Indian Ocean |
Prof. Jianping Chen |
T17.11 - Quantitative geoscience data analysis for mineral exploration targeting |
122.pdf |
1774 |
Quantifying structural control on ore deposition using anisotropy of magnetic susceptibility (AMS): Case studies from the Cloncurry IOCG/ Sedex province. |
Dr. James Austin |
T17.11 - Quantitative geoscience data analysis for mineral exploration targeting |
1774.pdf |
3100 |
Structural control on supergene nickel deposits explored by heliborne electromagnetic surveys in New Caledonia |
Ms. Marion Iseppi |
T17.10 - Geoelectrics (geoelectromagnetic methods) for geotectonics |
3100.pdf |
4897 |
On the structure of Fennoscandian AR-PT High Conductive Suture Zones on the Example of Ladoga-Bothnian Anomaly |
Dr Abdulkhai Zhamaletdinov |
T17.10 - Geoelectrics (geoelectromagnetic methods) for geotectonics |
4897.pdf |
1060 |
Geodynamic Model of the Earth Crust Structure from the Control Source Electromagnetic Soundings CSEMS and the Super Deep Drilling Data |
Dr. Abdulkhai Zhamaletdinov |
T17.10 - Geoelectrics (geoelectromagnetic methods) for geotectonics |
1060.pdf |
1411 |
Using geophysical data to create a 3D conceptual geological model for the Maremane Dome, Northern Cape, South Africa |
Mr. Adam Wooldridge |
T17.10 - Geoelectrics (geoelectromagnetic methods) for geotectonics |
1411.pdf |
73 |
Seismic beam-forming method with Cosine amplitude distribution |
Prof. Tao Jiang |
T17.10 - Geoelectrics (geoelectromagnetic methods) for geotectonics |
73.pdf |
3379 |
The Largest in the World Conductive Zones as Indicators of the Earth’s Crust Structure and Evolution. |
Dr. Abdulkhai Zhamaletdinov |
T17.10 - Geoelectrics (geoelectromagnetic methods) for geotectonics |
3379.pdf |
5179 |
Brownfield Exploration as a Strategic Initiative to Reviving Non-Operational Mines in the Central Rand |
Mr. Manie Swart |
T17.1 - Mineral deposit footprints |
5179.pdf |
3478 |
The importance of Dwyka Group glaciation with regards to alluvial diamond transportation, concentration and entrapment in South Africa. |
Mr. Pieter Bosch |
T17.1 - Mineral deposit footprints |
3478.pdf |
230 |
Implications of New Geophysical and Lead Isotopic Data on Localization of Giant Zinc Sulphide Body at Agucha in Western India |
Dr. PRAKASH RAMCHAND GOLANI |
T17.1 - Mineral deposit footprints |
230.pdf |
1507 |
Carbonate alteration as identified by staining as a vector to orogenic gold mineralization |
Dr. Johannes Henckel |
T17.1 - Mineral deposit footprints |
1507.pdf |
433 |
Fluid inclusion microthermometry and sulphur isotopic studies of the base metal mineralization in Minjhari area, Western Bastar Craton, India |
Dr. Velayutham Kumaravel |
T17.1 - Mineral deposit footprints |
433.pdf |
3606 |
Geostatistical Modelling of Log-derived Petrophysical Data for Quantifying Uncertainties in “AMESERE” Field, Niger Delta. |
Mr. Abayomi Osotuyi |
T16.P3 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
3606.pdf |
2170 |
Three-dimensional modeling of Fracture-cavity reservoirs |
Dr. Jiagen Hou |
T16.P3 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
2170.pdf |
2877 |
The statistical distribution pattern of zinc concentrations at Belousovskoye deposit (Rudny Altai) |
Katerina Petrich |
T16.P3 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
2877.pdf |
4622 |
Assessment of Mineral Resources Potential by combining Monte Carlo and Weights of Evidence Models |
Dr. Luping Pu |
T16.P3 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
4622.pdf |
3753 |
Prediction Theory and Technique of China National Mineral Resource Potentiality |
Dr. Shuwen Xing |
T16.P3 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
3753.pdf |
1437 |
Latent endmember identification by means of Gaussian anamorphosis |
Dr. Raimon Tolosana-Delgado |
T16.9 - Statistical analysis of compositional data. Theory and applications to Earth Sciences |
1437.pdf |
1449 |
Interpretable principal balances for compositional data in geochemistry |
Dr. Josep-Antoni Martin-Fernandez |
T16.9 - Statistical analysis of compositional data. Theory and applications to Earth Sciences |
1449.pdf |
1341 |
Surface Roughness and Micromorphology of Carbonates Dissolved in Three Different Acids by Multifractal Analysis |
Mr. Mohai Zhang |
T16.9 - Statistical analysis of compositional data. Theory and applications to Earth Sciences |
1341.pdf |
1055 |
Mapping gold pathfinder metal ratios – A methodological approach based on compositional analysis of spatially distributed multivariate data |
Dr. Luis Braga |
T16.9 - Statistical analysis of compositional data. Theory and applications to Earth Sciences |
1055.pdf |
1923 |
Spatial hazard assessment using simplicial indicator kriging |
Dr. JJ Egozcue |
T16.9 - Statistical analysis of compositional data. Theory and applications to Earth Sciences |
1923.pdf |
780 |
The ore body model and reserves estimation of the Tiegelongnan deposit ,northern Tibet |
Dr. Yong Song |
T16.8 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
780.pdf |
4489 |
Resource identification and commercial evaluation of Dimension stone Granite deposits of Pudukottai district, Tamil Nadu, India |
Dr. Jayabalan Kaliyaperumal |
T16.8 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
4489.pdf |
921 |
A favourable topographical characteristics for locating Fe deposits in Fujian Province of China |
Prof. Renguang Zuo |
T16.8 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
921.pdf |
4223 |
Constructing 3D Geological model with modified multiple-point statistics algorithm |
Dr. Weisheng Hou |
T16.8 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
4223.pdf |
1122 |
Characterization of primary geochemical haloes associated with Sn-Zn mineralization at the Dulong deposit, China |
Dr. Zhao Jiangnan |
T16.8 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
1122.pdf |
3551 |
Finding the Optimal Dynamic Anisotropy Resolution for Grade Estimation Improvement at Driefontein Gold Mine, South Africa |
Ms. Senzeni Mandava |
T16.8 - Mineral Resources Evaluation, Geostatistics and Mathematical Geoscience |
3551.pdf |
2695 |
Dealing with outliers within the Kriging Framework |
Mr. Leon Tolmay |
T16.7 - Geostatistics for Geological Resources Modeling |
2695.pdf |
4650 |
Practical Application of Gy Sampling Theory in Mining: An Example from Mogalakwena Open Pit Pt Mine |
Mr. Trust Muzondo |
T16.7 - Geostatistics for Geological Resources Modeling |
4650.pdf |