Spatial modelling of phosphorite deposits in the Irece Basin, Bahia, Brazil. W. Franca-Rocha 1,2, A. Misi 2
|
|
- Lenard Randall
- 6 years ago
- Views:
Transcription
1 Spatial modelling of phosphorite deposits in the Irece Basin, Bahia, Brazil W. Franca-Rocha 1,2, A. Misi 2 1 Universidade Estadual de Feira de Santana,Km 3, Br 116, Feira de Santana, , Brazil, 2 Universidade Federal da Bahia, Grupo de Metalogênese, Instituto de Geociências, Salvador, , Brazil, wrocha@uefs.br 1. Abstract An innovative exploration approach uses the analysis of a soil P 2 O 5 map, LANDSAT TM satellite images, geological, geophysical and mineral occurrence data to recognize a combination of mapped geological features, spectral characteristics, and geochemical signatures that could be associated with the phosphate mineralization. Although not all the known deposits were predicted using this approach, the results indicated that soil geochemical data are a valuable predictor of the key dolomite unit, and this has application in less well mapped parts of these Proterozoic basins. 2. Introduction The Irece phosphorite ore, Bahia (Brazil), occurs within the Neoproterozoic metasedimentary Una-Bambui Group, which comprises glaciogenic sediments (Bebedouro Formation) and carbonate successions (Salitre Formation) (Figure 1). The Salitre Formation consists of a thick (about 1.2 km) dominantly carbonate sequence, lying over glaciogenic diamictites of the Bebedouro Formation. Sedimentary and structural features of the Salitre Formation indicate that primary phosphate concentrations formed in shallow-water sedimentary facies and are directly related to biogenic structures (columnar and laminar stromatolites). The presence and proximity to a laminated limestone and cherty dolomite (B and B1 units of Salitre Formation) is particularly important to characterize this stratigraphic level (Misi et al, 1999). During an earlier study, Franca-Rocha (2001) conducted a GIS-based spatial analysis in the Irecê carbonate basin. Fuzzy logic and the predictive probabilistic methods of weights of evidence and logistic regression were applied to build maps showing favorable areas for lead-zinc deposits. Phosphorite ore are associated to the same shallow sedimentary environment, but controlled by distinct factors. The purpose of this study is to test the performance of the geological-morphological, geochemical and geophysical variables to predict occurrences of phosphorite in Neoproterozoic dolomitic units of the Salitre Formation at Irecê-Lapão target area. The results were obtained from a weights-of-evidence modeling and analyzed to evaluate their applicability.
2 Fig. 1. Location of Neoproterozoic carbonate basins in Bahia State, NE= Brazil, showing the potential for phosphorite mineral deposits. Yellow polygon is the study area. 3. Methodology The methodology involves the application as data integrator of the weights-of-evidence modeling, a log linear form of Bayes Rule with conditional independence. This method allows the user to explore the spatial relationship between known mineral deposits and exploration datasets from a variety of sources (Bonham-Carter, 1994). Because most studies of this type have a limited number of deposits, it is advantageous to generalize the maps to a small number of classes, often to binary classes. The process of evaluating weights and reclassification gives invaluable insights into the spatial associations present in the data (e.g. separation of background from anomaly in geochemistry, selection of optimal distances for buffering linear features, etc.). Weights-of-evidence procedure consists in the calculation of the posterior logit from the prior logit and sum of weights, one for each map, see Bonham-Carter (1994). The posterior logit is evaluated over the map region and is usually converted to posterior probability for display. The effects of various sources of uncertainty on the final result can be modelled such as the variances of weights and variance due to missing data (incomplete surveys). The seven themes used as evidence of deposits in this study were derived from the raw data sets that consisted of a digitized geological map, DEM, remotely sensed data, airborne radiometric and soil geochemical survey data. The uranium and thorium maps
3 are incomplete (i.e. the surveys have gaps, or missing data) and the P2O5 map is based on uneven sample density, giving rise to sources of uncertainty in the posterior probability map that can be taken into consideration in modeling. Twenty-one P deposits were used as training points. to calculate statistical parameters for weighting the evidence by datadriven modeling. Weights (W+, W-), contrast (C=W+-W-) and confidence calculations guided the data-driven methods modeling. 4. Data Analysis Several statistical procedures can be used for helping to define geochemical and geophysical anomalies. These include the use of moving averages, kriging, probability graphs and other techniques. Most methods employ concentration values only. In order to improve the results of interpretation of geochemical and geophysical data by considering both the frequency distribution of concentration values and their spatial distribution, the concentration-area fractal method (C-A method) was introduced by Cheng, Agterberg, and Ballantyne (1994) for anomaly separation. In this study we used the C-A method to identify both geochemical and geophysical anomalies. The C-A method separates anomalies from background on the basis of the frequency distribution of values, as well as the spatial and geometrical properties of geochemical and geophysical patterns. The geochemical survey shows high concentration values of P2O5 in very small areas, relatively low values in a much larger area and very low concentrations values in all other regions, typical of many trace element distributions. Situations of this type can be often described by using multifractal models (Cheng, Agterberg and Ballantyne, 1994). The study area is considered to have high potential for P mineral deposits. The soil geochemical survey was designed to discover P occurrences related to dolomitic shallowwater facies in the carbonate sequences of the Una-Bambui Group of Proterozoic age. All soil samples, not always regularly spaced, (12,900 samples) were chemically analyzed for P, Pb, and Zn, among others, and the results were stored in a GIS. The C-A method was also applied to the gridded airborne radioelement values. Plots for U and Th were produced, again indicating that power-law relationships were satisfied. As a consequence, breaks in slope were determined giving estimated thresholds of Th=7 cps and U=8 cps. 5. Results Figure.2 shows the binary anomalous maps obtained from theme weights that were used as evidence map: Morphology or topographic relationship (Fig. 2A), Stratigraphic control - unit B1 (Fig. 2B), a map of P 2 O 5 in soil (Fig. 2C), a map of a 250 m buffer around lineaments (Fig. 2D), a thorium and uranium maps (airborne radiometric survey) (Fig. 2E e 2F), and a spectral signature extracted from LANDSAT TM satellite image (Fig. 2G). For each map, threshold selection were guided on a way to maximize as far as possible the spatial association of the deposits with the resulting binary pattern Table 1 summarizes the statistics from the weights of evidence (WOFE) method, as applied to the 21 P 2 O 5 deposits in the Irecê Basin.
4 A B C D E F G Figure 2: Anomaly maps for A. Topography, B. Geology, C. Soil Geochemistry D. Structural, E. Geophysics - Uranium, F. Geophysics - Thorium and G. Spectral feature. Yellow colors are anomalous pattern. Dots are locations of deposits.
5 Table 1 - Weights (W+, W-), contrast (C) values and studentized contrast values or confidence (C/s(C)). Rows are sorted by decreasing C, a measure of spatial association between the deposits and the map. Prior probability is 21/ = (assuming unit cell=1 km2). EVIDENCE MAPS W+ W- C C/S(C) Th 0,9674-1,8839 2,8513 3,8119 P2O5 soil -0,2580 2,1472 2,4053 4,4056 Topograph -0,5986 1,1102 1,7088 3,7466 Unit b1-0,3135 0,8035 1,1169 2,4123 U 0,1112-0,6662 0,7774 1,0377 Lineaments distance 0,4685-0,2670 0,7356 1,6190 Landsat class 0,4606-0,2200 0,6806 1,4746 Deposits 21, ,8300 0,0183 Figure 3 shows the final integrated mineral potential map for phosphorite modeled by weights-of-evidence method. High probability areas in red indicated possible targets to follow-up. Figure 3: Maps of mineral favorability for P2O5 according Weights-of-evidence approach. Red saturation means highest mineral potential. Blue saturation means low favorability areas. Dots are locations of deposits.
6 6. Discussion The geochemical map was gridded by kriging and analyzed by the concentration-area method to determine the threshold between anomalous and background concentrations. Seven binary maps representing diagnostic deposit recognition criteria were combined in weights-of-evidence model to predict the spatial distribution of known mineral occurrences and to calculate a prospective map of further phosphate potential in the Irece Basin. The results indicate that thorium geophysics and soil geochemical data are valuable predictors of the key dolomite unit and can be applied to prospect in less well mapped parts of these Proterozoic basins. Stratigraphic, structural and spectral evidence were important locally. Among the three targets obtained in this modeling, the centralnorth one named Irecê-Lapão (Fig. 3), was the most important, showing concentration of P deposits and the highest posterior probability values. 7. References Agterberg, F.P., Bonham-Carter, G.F. and Wright, D.F., 1990, Statistical pattern integration for mineral exploration, in: Gaal, G. and Merriam, D.F., (eds.), Computer applications in resource estimation, prediction and assessment for minerals and petroleum: Pergamon, Oxford, p Agterberg, F.P., Bonham Carter, G.F., Cheng, Q., and Wright, D.F., 1993, Weights of evidence modeling and weighted logistic regression for mineral potential mapping, in: Davis, J.C. and Herzfeld, U.C., (eds.), Computers in geology 25 years of progress: Oxford University Press, International Association of Mathematical Geology, Studies in Mathematical Geology, v. 5 p Bonham-Carter, G.F. - Geographic Information Systems for Geoscientists: Modelling with GIS, Pergamon, Oxford, 398 p., Cheng Q., Agterberg, F.P., and Ballantyne, S. B., 1994, The separation of geochemical anomalies from background by fractal methods: Journal of Geochemical Exploration, v. 51, p Franca-Rocha, W. J. S., 2001, Modelagem Metalogenetica na Bacia de Irecê (Ba) através de Sistema de Informações Geográficas (SIG): Tese de Doutoramento, Instituto de Geociências, Universidade Federal da Bahia, Salvador, 350 p. Harris, D. P. and Pan, G., 1991, Consistent geological areas for epithermal gold-silver deposits in the Walker Lake Quadrangle of Nevada and California delineated by quantitative methods: Economic Geology, v. 86, no. 1, p Misi, A., Iyer, S.S., Tassinari, C.G., Kyle, J.R., Coelho, C.E.S., Franca-Rocha, W., Gomes, A.S.R, Cunha, I.A., and Carvalho, I.G., 1999, Geological and isotopic constraints on the metallogenic evolution of the Proterozoic sediment-hosted Pb-Zn(Ag) deposits of Brazil: Gondwana Research, v. 2, no. 1, p
GIS modelling for Au-Pb-Zn potential mapping in Torud-Chah Shirin area- Iran
IJMEI International Journal of Mining & Environmental Issues, Vol. 1, No.1, 2010. GIS modelling for Au-Pb-Zn potential mapping in Torud-Chah Shirin area- Iran M. Ziaii 1*, A. Abedi 1, M. Ziaei 1, A. Kamkar
More informationGIS MODELING FOR MINERAL POTENTIAL MAPPING OF CARBONATE-HOSTED PB-ZN DEPOSITS
Revista Brasileira de Geociências Washington Franca-Rocha et al. 33(2-Suplemento):191-196, junho de 2003 GIS MODELING FOR MINERAL POTENTIAL MAPPING OF CARBONATE-HOSTED PB-ZN DEPOSITS WASHINGTON FRANCA-ROCHA
More informationSINGULARITY ANALYSIS FOR IMAGE PROCESSING AND ANOMALY ENHANCEMENT. Qiuming CHENG
SINGULARITY ANALYSIS FOR IMAGE PROCESSING AND ANOMALY ENHANCEMENT Qiuming CHENG Department of Earth and Atmospheric Science, Department of Geography, York University, Toronto, 4700 Keele Street, Ont. M3J
More informationImprovements on 2D modelling with 3D spatial data: Tin prospectivity of Khartoum, Queensland, Australia
Improvements on 2D modelling with 3D spatial data: Tin prospectivity of Khartoum, Queensland, Australia C. E. Payne, F. W. Cunningham, A. J. Wilkins & G. A. Partington Kenex Ltd. Outline Prospectivity
More informationProspectivity Modelling of Granite-Related Nickel Deposits Throughout Eastern Australia
Prospectivity Modelling of Granite-Related Nickel Deposits Throughout Eastern Australia M P Hill 1 and A McCarthy 2 ABSTRACT Spatial modelling has been used to determine potential locations of granite-related
More informationResource Management through Machine Learning
Resource Management through Machine Learning Justin Granek Eldad Haber* Elliot Holtham University of British Columbia University of British Columbia NEXT Exploration Inc Vancouver, BC V6T 1Z4 Vancouver,
More informationSpatial databases of the Humboldt Basin mineral resource assessment, northern Nevada
Spatial databases of the Humboldt Basin mineral resource assessment, northern Nevada By Mark J. Mihalasky and Lorre A. Moyer Any use of trade, firm, or product names is for descriptive purposes only and
More informationEXPLORATION TARGETING USING GIS: MORE THAN A DIGITAL LIGHT TABLE
EXPLORATION TARGETING USING GIS: MORE THAN A DIGITAL LIGHT TABLE G A PARTINGTON 1 INTRODUCTION The use of computers in mineral exploration in the last twenty years has dramatically changed the way we carry
More informationNew Discoveries Using Spatial Analysis in GIS
New Discoveries Using Spatial Analysis in GIS Exploration in the Digital Age Acknowledging:, Auzex Resources, Aurora Minerals, HPD New Zealand, Garry Raines and Graeme Bonham-Carter Talking About Passion!!
More informationRemote Sensing and Spatial Analysis Applied to Prospectivity Mapping. Carlos R. Souza Filho S. Asadzade T. Lammoglia University of Campinas (UNICAMP)
Remote Sensing and Spatial Analysis Applied to Prospectivity Mapping Carlos R. Souza Filho S. Asadzade T. Lammoglia University of Campinas (UNICAMP) Lisbon, December 2017 INTRODUCTION The detection of
More informationHybrid Fuzzy Weights-of-Evidence Model
Chapter 5 Hybrid Fuzzy Weights-of-Evidence Model This chapter is based on a paper titled A Hybrid Fuzzy Weights of Evidence Model for Mineral Potential Mapping (Porwal et al., 2006c). The model combines
More informationUsing Predictive Modelling to Aid Planning in the Mineral Exploration and Mining Sector A Case Study using the Powelliphanta Land Snail
Using Predictive Modelling to Aid Planning in the Mineral Exploration and Mining Sector A Case Study using the Powelliphanta Land Snail C. Wildman 1 and K. Peters 2 1 Kenex Limited, PO Box 41136, Eastbourne,
More informationArtificial neural networks as a tool for mineral potential mapping with GIS
INT. J. REMOTE SENSING, 2003, VOL. 24, NO. 5, 1151 1156 Artificial neural networks as a tool for mineral potential mapping with GIS J. P. RIGOL-SANCHEZ Department of Geology, University of Jaen, 23071,
More informationSpatial Data Modelling: The Search For Gold In Otago. Presented By Matthew Hill Kenex Knowledge Systems (NZ) Kenex. Kenex
Spatial Data Modelling: The Search For Gold In Otago Presented By Matthew Hill Knowledge Systems (NZ) Acknowledgements Michelle Stokes & Greg Partington - Pty Ltd (Australia) Paul Matthews, Charlene Wildman,
More informationRegional GIS based exploration targeting studies in data poor environments
Regional GIS based exploration targeting studies in data poor environments A case study of gold prospectivity mapping in Nigeria Matthew Greentree, Mathieu Lacorde and Bert De Waele Acknowledgements Australian
More informationKeywords: (Fuzzy Logic Integration, Mineral Prospectivity, Urmia-Dokhtar, Kajan, GIS)
Mineral Prospectivity Mapping by Fuzzy Logic Data Integration, Kajan Area in Central Iran Pezhman Rasekh 1 (p.rasekh@ut.ac.ir), Farshid Kiani 1, Hooshang H. Asadi 1, Seyed Hassan Tabatabaei 1 1 Isfahan
More informationPOWELLIPHANTA LAND SNAIL: A PREDICTIVE MODEL FOR IDENTIFYING THE POTENTIAL LOCATION OF POWELLIPHANTA LAND SNAILS IN THE SOUTH ISLAND OF NEW ZEALAND
POWELLIPHANTA LAND SNAIL: A PREDICTIVE MODEL FOR IDENTIFYING THE POTENTIAL LOCATION OF POWELLIPHANTA LAND SNAILS IN THE SOUTH ISLAND OF NEW ZEALAND Charlene Wildman and Katie Peters Kenex Knowledge Systems,
More informationIn classical set theory, founded
Fuzzy logic: Identifying areas for mineral development by Mandy Vickers and Gavin Fleming, Mintek This article looks at the application of fuzzy logic set theory in GIS to identify potential areas for
More informationPredictive Modelling of Ag, Au, U, and Hg Ore Deposits in West Texas Carl R. Stockmeyer. December 5, GEO 327G
Predictive Modelling of Ag, Au, U, and Hg Ore Deposits in West Texas Carl R. Stockmeyer December 5, 2013 - GEO 327G Objectives and Motivations The goal of this project is to use ArcGIS to create models
More informationWeight of Evidence Allocates Mineral Depositional Zones
American Journal of Environmental Sciences 6 (6): 484-488, 2010 ISSN 1553-345X 2010 Science Publications Weight of Evidence Allocates Mineral Depositional Zones 1 Abdullah A. Bokhari, 1 Guang Dao HU and
More informationApplication and Challenges of Artificial Intelligence in Exploration
Application and Challenges of Artificial Intelligence in Exploration XPLOR 2017 John McGaughey 2017 Mira Geoscience Ltd. Artificial Intelligence Artificial Intelligence is colossally hyped these days,
More informationApplication of Weights of Evidence Method for Assessment of Flowing Wells in the Greater Toronto Area, Canada
Natural Resources Research, Vol. 13, No. 2, June 2004 ( C 2004) Application of Weights of Evidence Method for Assessment of Flowing Wells in the Greater Toronto Area, Canada Qiuming Cheng 1,2 Received
More informationStatistical Pattern Integration for Mineral Exploration*
From Gaal, Gabor and Merriam, Daniel F., (eds.), 1990, Computer Applications in Resource Estimation Prediction and Assessment for Metals and Petroleum, Pergamon Press, Oxford. Statistical Pattern Integration
More informationAPPLICATION OF GEOGRAPHICALLY WEIGHTED REGRESSION ANALYSIS TO LAKE-SEDIMENT DATA FROM AN AREA OF THE CANADIAN SHIELD IN SASKATCHEWAN AND ALBERTA
APPLICATION OF GEOGRAPHICALLY WEIGHTED REGRESSION ANALYSIS TO LAKE-SEDIMENT DATA FROM AN AREA OF THE CANADIAN SHIELD IN SASKATCHEWAN AND ALBERTA Nadia Yavorskaya 1, Stephen Amor 2 1 450 Bonner Av., Winnipeg,
More informationProject Development in Argentina. For Wind Energy and Minerals Using Spatial Data Modelling
Project Development in Argentina For Wind Energy and Minerals Using Spatial Data Modelling Introduction Development of New Business Opportunities in Argentina Key Project for Kenex Since Mining 2010. Based
More informationMOKWA (Sheet 41) 1:250,000 GEOPHYSICAL MAP SERIES AND INTERPRETATION
TECHNICAL ASSISTANCE FOR THE INTERPRETATION OF AIRBORNE GEOPHYSICAL SURVEY Contract No. SMMRP/C.2.1/CON/07/02 MOKWA (Sheet 41) 1:250,000 GEOPHYSICAL MAP SERIES AND INTERPRETATION Prepared for Federal Republic
More informationScadding Property Sudbury District, Ontario
FOR IMMEDIATE RELEASE Northern Sphere Mining Corp. optimizes mineral targets on its Sudbury Nickel Belt and Arizona Porphyry Copper properties Toronto, Ontario April 5, 2018 - Northern Sphere Mining Corp.
More informationDeriving optimal exploration target zones on mineral prospectivity maps 1
Deriving optimal exploration target zones on mineral prospectivity maps 1 P. Debba 2, E. J. M. Carranza 3, A. Stein 3 and F. D. van der Meer 3 1 Received ; accepted 2 CSIR, Logistics and Quantitative Methods,
More informationProspectivity mapping for orogenic gold in South-East Greenland
Prospectivity mapping for orogenic gold in South-East Greenland Björn H. Heincke & Bo Møller Stensgaard Presented by Kristine Thrane Geological Survey of Denmark and Greenland Danish Ministry of Climate,
More informationAPPLICATION OF GIS DATA MODELLING FOR STONE AGGREGATE POTENTIAL IN DALMATIA
APPLICATION OF GIS DATA MODELLING FOR STONE AGGREGATE POTENTIAL IN DALMATIA Željko Dedić (1) Ozren Hasan (1) Slobodan Miko (1) Boris Lukšić (1) Erli Kovačević (1) (1) Croatian Geological Survey; Sachsova
More informationThe Use of a Multilayer Feedforward Neural Network for Mineral Prospectivity Mapping
The Use of a Multilayer Feedforward Neural Network for Mineral Prospectivity Mapping Warick Brown', Tamds Gedeon', and Robert Barnes' ' Centre for Strategic Mineral Deposits, Department of Geology and
More informationExtended Weights-of-Evidence Model
Chapter 4 Extended Weights-of-Evidence Model Approaches to mineral potential mapping based on weights-of-evidence modeling generally use binary maps, whereas, real-world geospatial data are mostly multi-class
More informationFor personal use only
20 7 APRIL JANUARY 2017 2017 ASX ASX ANNOUNCEMENT QUEENSLAND EXPLORATION PROJECTS UPDATE Projects identified by Sasak through analysis of regional geophysics and geochemistry databases to target IOCG (Iron
More informationMINERAL EXPLORATION UNDER DEEP COVER. Neil Williams School of Earth & Environmental Sciences
MINERAL EXPLORATION UNDER DEEP COVER Neil Williams School of Earth & Environmental Sciences The problem Discovery rates, especially of world-class deposits, have fallen significantly over the past 15-20
More informationGeographic Information System
GEOG4340 Q. Cheng Geographic Information System Lecture Nine Data Integration Spatial Decision Support System (SDSS) Mapping areas for drilling in mining industry Multivariate Logistic Regression 3D Simulation
More informationDeveloping Models using GIS to Assess Process and Economic Risk: Examples from Mineral Exploration and Wind Energy Development in New Zealand
Developing Models using GIS to Assess Process and Economic Risk: Examples from Mineral Exploration and Wind Energy Development in New Zealand Gregor A Partington Kenex Australia Ltd. Introduction Succeeding
More informationGeo-scientific Data Integration to Evaluate Geothermal Potential Using GIS (A Case for Korosi-Chepchuk Geothermal Prospects, Kenya)
Geo-scientific Data Integration to Evaluate Geothermal Potential Using GIS (A Case for Korosi-Chepchuk Geothermal Prospects, Kenya) Levi Shako and Joseph Mutua Geothermal Development Company, P. O. Box
More informationIncorporating Mineral Prospectivity Analysis in Quantitative Estimation of Undiscovered Mineral Resources
VI Brazilian Symposium on Mineral Exploration Ouro Preto, Minas Gerias, Brazil 11-14 May 2014 Incorporating Mineral Prospectivity Analysis in Quantitative Estimation of Undiscovered Mineral Resources John
More informationNT RESOURCES LIMITED QUARTERLY ACTIVITIES REPORT FOR THE PERIOD ENDED 30 JUNE 2010 ASX CODE: NTR
NT RESOURCES LIMITED QUARTERLY ACTIVITIES REPORT FOR THE PERIOD ENDED 30 JUNE 2010 ASX CODE: NTR Activities Report Background NT Resources Limited ( NT Resources or the Company ) holds six granted Exploration
More informationPRELIMINARY ANALYSIS OF MINERAL POTENTIAL MODELLING OF THE VICTORIA LAKE SUPERGROUP VOLCANIC ROCKS: A WEIGHTS OF EVIDENCE APPROACH
Current Research (2006) Newfoundland and Labrador Department of Natural Resources Geological Survey, Report 06-1, pages 25-44 PRELIMINARY ANALYSIS OF MINERAL POTENTIAL MODELLING OF THE VICTORIA LAKE SUPERGROUP
More informationCOMBINATION OF MMI AND ENZYME LEACH METHODS IN EXPLORATION FOR GOLD IN AN AREA OF THE CANADIAN SHIELD COVERED WITH GLACIAL SEDIMENTS: A CASE STUDY
COMBINATION OF MMI AND ENZYME LEACH METHODS IN EXPLORATION FOR GOLD IN AN AREA OF THE CANADIAN SHIELD COVERED WITH GLACIAL SEDIMENTS: A CASE STUDY Nadia Yavorskaya 450 Bonner Ave., Winnipeg, MB, Canada
More informationComputers & Geosciences
Computers & Geosciences 37 (2011) 1976 1988 Contents lists available at ScienceDirect Computers & Geosciences journal homepage: www.elsevier.com/locate/cageo Mineral potential targeting and resource assessment
More informationSustainable Natural Resources Development on a Small Planet. Mineral Exploration
Sustainable Natural Resources Development on a Small Planet Mineral Exploration Exploration the mining industry s principal activity in research and development Scientific and engineering principles used
More informationMetallic Mineral Exploration in Minnesota: Typical Exploration Activities. Division of Lands and Minerals Minnesota Department of Natural Resources
Metallic Mineral Exploration in Minnesota: Typical Exploration Activities Division of Lands and Minerals Minnesota Department of Natural Resources Metallic minerals can only be mined economically where
More informationProspectivity Modelling of Mineralisation Systems in Papua New Guinea Using Weights of Evidence Techniques
Prospectivity Modelling of Mineralisation Systems in Papua New Guinea Using Weights of Evidence Techniques K Peters 1 and G Partington 2 ABSTRACT A regional scale prospectivity model was developed for
More informationGeologically-Constrained Fuzzy Mapping of Gold Mineralization Potential, Baguio District, Philippines 1
Geologically-Constrained Fuzzy Mapping of Gold Mineralization Potential, Baguio District, Philippines 1 Emmanuel John M. Carranza 2 Mines and Geosciences Bureau (MGB) Regional Office No. 5, Philippines
More informationThe Geological Potential of Central America and the Caribbean: A USGS Report
The Geological Potential of Central America and the Caribbean: A USGS Report World Bank Workshop Recent Developments in Mining and Sustainable Development in Latin America March 5, 2014 Jane Hammarstrom
More informationNew version of the Spatial Data Modeler tool: ArcSDM 5. ArcSDM 5 Final Seminar May 4 th 2018, Rovaniemi
New version of the Spatial Data Modeler tool: ArcSDM 5 ArcSDM 5 Final Seminar May 4 th 2018, Rovaniemi Funding 2 Acknowledgements This presentation may include slides borrowed from the following persons
More informationA review of the large Red Dragon prospect was completed following the 2011 field season, the
ASX / MEDIA RELEASE ST GEORGE MINING LIMITED ASX: SGQ ACN 139 308 973 Level 1, 115 Cambridge Street PO Box 1305, West Leederville WA 6007 www.stgeorgemining.com.au Phone +618 9322 6600 Facsimile +618 9322
More informationFor personal use only
20 16 FEBRUARY JANUARY 2017 ASX ANNOUNCEMENT OMMANEY FOLLOW-UP RC DRILLING Ommaney follow up drilling to commence in early to mid-march 2017. A 7 hole RC drilling program will follow up the intense alteration
More informationindigeo Consultants Pvt Ltd Geophysical Surveys Geological Surveys GIS & Data Solutions Image Processing indigeo Company Profile, Page 1
indigeo Consultants Pvt Ltd Geophysical Surveys Geological Surveys GIS & Data Solutions Image Processing MM Corner, 3 rd Floor #58, Banaswadi Main Road Bangalore 560033 INDIA Ph: +91 80 41638310 Mob: +91
More informationUncovering the greater McArthur Basin, Northern Territory Tania Dhu Manager Geophysics and Remote Sensing, Northern Territory Geological Survey
Uncovering the greater McArthur Basin, Northern Territory Tania Dhu Manager Geophysics and Remote Sensing, Northern Territory Geological Survey www.minerals.nt.gov.au Why focus on the McArthur Basin? Large,
More informationAUTOMATIC EXTRACTION OF ALUVIAL FANS FROM ASTER L1 SATELLITE DATA AND A DIGITAL ELEVATION MODEL USING OBJECT-ORIENTED IMAGE ANALYSIS
AUTOMATIC EXTRACTION OF ALUVIAL FANS FROM ASTER L1 SATELLITE DATA AND A DIGITAL ELEVATION MODEL USING OBJECT-ORIENTED IMAGE ANALYSIS Demetre P. Argialas, Angelos Tzotsos Laboratory of Remote Sensing, Department
More informationRemotely sensed ore mineralization potentials in Ramand altered region, north of Iran
American Journal of Civil Engineering 2015; 3(2-2): 18-23 Published online February 6, 2015 (http://www.sciencepublishinggroup.com/j/ajce) doi: 10.11648/j.ajce.s.2015030202.14 ISSN: 2330-8729 (Print);
More informationInternational Training Course on Uranium Exploration
International Training Course on Uranium Exploration by P.M.C Barretto As part of its Technical Assistance Programme for developing countries, the IAEA has conducted a series of training courses in prospecting
More information3D quantitative mineral potential targeting in the Kristineberg mining area, Sweden
3D quantitative mineral potential targeting in the Kristineberg mining area, Sweden Tobias Hermansson, PhD Structural Geology Specialist Field Exploration North Fennoscandia Boliden Mines Outline Introduction
More informationMineral Prospectivity Modelling 2010
Mineral Prospectivity Modelling 2010 Kenex Ltd, Eastbourne, New Zealand Kenex Pty Ltd, Perth, Western Australia P: +64 4 562 6253 www.kenex.co.nz info@kenex.co.nz P: +61 8 6468 4965 www.kenex.com.au info@kenex.com.au
More informationNWQ Geochemistry Toolkit
NWQ Geochemistry Toolkit Meeting the challenge of finding buried and blind ore deposits QEC Technical Forum 2018 Innovative approaches to discovery Dr Keith Hannan, Geochem Pacific Dr Richard Lilly, University
More informationGeochemical Data Evaluation and Interpretation
Geochemical Data Evaluation and Interpretation Eric Grunsky Geological Survey of Canada Workshop 2: Exploration Geochemistry Basic Principles & Concepts Exploration 07 8-Sep-2007 Outline What is geochemical
More informationIntrusion-related mineral systems of north-east Queensland 3-year collaborative research project
Intrusion-related mineral systems of north-east Queensland 3-year collaborative research project Vladimir Lisitsin (Geological Survey of Queensland) Gregg Morrison (Klondike Exploration) Simon Beams (Terra
More informationParameter Estimation and Sensitivity Analysis in Clastic Sedimentation Modeling
Parameter Estimation and Sensitivity Analysis in Clastic Sedimentation Modeling A. Acevedo 1, A. Khramtsov 2, H. A. Madhoo 3, L. Noomee 4, and D. Tetzlaff 5 1 Schlumberger Information Solutions,Gatwick,
More informationOur Services. What We Do. How We Can Help. Contact us today: January (0)
Listening and Understanding to Optimize our Efficiency Our Experience and Knowledge to Work for You Tailor-made Solutions to Meet your Needs Our Challenge is You Success What We Do Our Services GeoViz
More informationFor personal use only
VICTORIAN PORPHYRY COPPER GOLD TENEMENTS GRANTED ASX ANNOUNCEMENT 13 AUGUST 2013 Mantle Mining Corporation Limited (ASX: MNM) is pleased to report that three exploration licences highly prospective for
More informationVermont Stream Geomorphic Assessment. Appendix E. River Corridor Delineation Process. VT Agency of Natural Resources. April, E0 - April, 2004
Vermont Stream Geomorphic Assessment Appendix E River Corridor Delineation Process Vermont Agency of Natural Resources - E0 - River Corridor Delineation Process Purpose A stream and river corridor delineation
More informationGIS GIS GIS.
GIS 388 Vol., No., Spring 2009 73-88 GIS Iranian Remote Sensing & GIS GIS ( : ) 3 2 * GIS - GIS -2 GIS -3 88//3 : 88/5/4 : (GIS)..... :.. 26.. 88... (GIS) : Email: frdhal@gmail.com 8878623 :.8878622 :
More informationJan 06, 2014 understanding of the physical SEDIMENTOLOGY AND THE isotope geochemistry and of their physical properties
Sedimentology, Physical Properties, And Geochemistry In The Initial Reports Of The Deep Sea Drilling Project Volumes 1-44: An Overview [World Data Center A For Marine Geology And Geophysics Report MGG
More informationA predictive GIS methodology for mapping potential mining induced rock falls
University of Wollongong Thesis Collections University of Wollongong Thesis Collection University of Wollongong Year 006 A predictive GIS methodology for mapping potential mining induced rock falls Hani
More informationMineral Systems and Exploration Targeting. T. Campbell McCuaig - Centre for Exploration Targeting
Mineral Systems and Exploration Targeting T. Campbell McCuaig - Centre for Exploration Targeting Mineral Geoscience Masters October 2013 Premise Exploration is an exercise in sequential volume reduction,
More informationGEOPHYSICAL MAPS AND PETROPHYSICAL DATA OF MOZAMBIQUE
Geophysical maps and petrophysical data of Mozambique GTK Consortium Geological Surveys in Mozambique 2002 2007, edited by Yrjö Pekkala, Tapio Lehto & Hannu Mäkitie, 65 80, 2008 GEOPHYSICAL MAPS AND PETROPHYSICAL
More informationTHE UTILITY OF HYPERSPECTRAL DATA ON EXPLORATION OF SANDSTONE-HOSTED URANIUM DEPOSITS *
THE UTILITY OF HYPERSPECTRAL DATA ON EXPLORATION OF SANDSTONE-HOSTED URANIUM DEPOSITS * Jie-lin Zhang Beijing Research Institute of Uranium Geology Key Laboratory of Remote Sensing Beijing 100029, China,
More informationNo. Prerequisi tes e No. Igneous Petrology Sedimentary Rocks. Study Plan. Program: Geology Degree Offered: Ph.D.
Program: Degree Offered: Ph.D. Plan No. /9 06 2005 PhD Study Plan First: General Rules and Conditions:. This plan conforms to the valid regulations of programs of graduate studies. 2. Specialties allowed
More information3D Modeling of the Santa Terezinha Coalfield, Brazil - implications for estimation of the CBM potential
3D Modeling of the Santa Terezinha Coalfield, Brazil - implications for estimation of the CBM potential H. Burger, R. Prissang 1, M. Holz and W. Kalkreuth 2 1 Institut für Geologische Wissenschaften, FU
More informationFletcher Junction Project Technical Update December 18, 2008
Fletcher Junction Project Technical Update December 18, 2008 Disclaimer Warning! The business of Gold Exploration can be FUN, but it can also be hazardous to your physical, emotional, spiritual and financial
More informationESRI GIS For Mining Seminar, 10 th August, 2016, Nairobi, Kenya. Spatial DATA Solutions for Mining
ESRI GIS For Mining Seminar, 10 th August, 2016, Nairobi, Kenya Spatial DATA Solutions for Mining Spatial Data Solutions for Mining Spatial - Data that identifies the geographic location of features &
More informationNamibia Rare Earths Inc. Mobilizes for Airborne Survey Over Kunene Cobalt-Copper Project as Exploration Ramps Up
Press Release Namibia Rare Earths Inc. Mobilizes for Airborne Survey Over Kunene Cobalt-Copper Project as Exploration Ramps Up Detailed airborne electromagnetic and magnetic survey comprising 3,700 line
More informationFor personal use only
L4 66 Kings Park Road West Perth WA 6005 P: +61 8 6141 3585 F: +61 8 6141 3599 E: info@drakeresources.com.au ASX Announcement 16 th September 2014 Seimana Gold Project Technical Update and Next Steps Geophysical
More informationSEPTEMBER QUARTERLY REPORT
SEPTEMBER QUARTERLY REPORT Resource Mining Corporation Limited ( RMC ) For the period ended 30 th September 2011 HIGHLIGHTS: Resource Mining Corporation Limited ABN: 97 008 045 083 702 Murray Street West
More informationRaster Data Enhancement and Tectonic Element Interpretation in ArcMap
Raster Data Enhancement and Tectonic Element Interpretation in ArcMap Vsevolod Egorov ESRI Petroleum User Group Conference Houston, TX 2005 Abstract ArcMap Spatial Analyst provides quick, but powerful
More informationCopper and Zinc Production, Disciplined Growth. S I T E V I S I T O C T O B E R % Owned Projects
Copper and Zinc Production, Disciplined Growth. S I T E V I S I T O C T O B E R 2 0 1 6 100% Owned Projects Serbia assets Timok Magmatic Complex Rakita Joint Venture 4 exploration permits in the Bor region,
More informationNAME OF THE PROGRAMME : M.Sc. GEOLOGY PROGRAMME OUTCOME
NAME OF THE PROGRAMME : M.Sc. GEOLOGY PROGRAMME OUTCOME 1. Understanding development of landforms through Earth's external processes by various geological agents; marine processes and formation of marine
More informationGEOTHERMAL WELL SITING USING GIS: A CASE STUDY OF MENENGAI GEOTHERMAL PROSPECT
GEOTHERMAL WELL SITING USING GIS: A CASE STUDY OF MENENGAI GEOTHERMAL PROSPECT Levi Shako Geothermal Development Company P. O Box 17700-20100, Nakuru, Kenya. lshako@gdc.co.ke ABSTRACT Geothermal well site
More informationJOGMEC Remote Sensing Project -For satellite image analysis and field survey in Africa-
0 JOGMEC Remote Sensing Project -For satellite image analysis and field survey in Africa- Takashi Ooka, General Manager, JOGMEC Geologic Remote Sensing Centre in Botswana 6 th February 2014 Mining Indaba,
More informationGolden Cross Resources
Golden Cross Resources Labrador Uranium Joint Venture with Altius Resources Update - November 2007 Labrador Uranium - Canada LABRADOR URANIUM PROPERTIES Golden Cross Resources signed an agreement with
More informationSpatial Distribution Of Gold And Associated Base Metals In Rock Units Of Ogute Area, Edo State, Nigeria
Spatial Distribution Of Gold And Associated Base Metals In Rock Units Of Ogute Area, Edo State, Nigeria Adiotomre, E. E. Abstract: The solid mineral industry in Nigeria has not seen any major investment
More informationGEO 103. OBJECTIVES Familiarity with general facts, principles and concepts of Earth and Earth Processes
GEO 3 Familiarity with general facts, principles and concepts of Earth and Earth Processes 1 2 5 6 7 8 Identify Earth materials and use simple geological tools Become familiar with geologic data, as displayed
More informationHendra Pachri, Yasuhiro Mitani, Hiro Ikemi, and Ryunosuke Nakanishi
21 2nd International Conference on Geological and Civil Engineering IPCBEE vol. 8 (21) (21) IACSIT Press, Singapore DOI: 1.7763/IPCBEE. 21. V8. 2 Relationships between Morphology Aspect and Slope Failure
More informationStudy program: Geology. Semester I Required subject Code Subject ECTS. Hours per week
Study program: Geology Semester I 2FI100112 Math 1 8 3+2+2 216 2FP100212 Physics 1 8 3+2+2 216 UGD101312 Computer Science 6 2+2+1 156 1 4 2+1+1 120 2 4 2+1+1 120 : 2FP110112 Basics geology 2FP101212 Fundamentals
More informationEvaluating the information content of National ASTER Geoscience Maps in the Wagga Wagga and Cobar regions of New South Wales
Evaluating the information content of National ASTER Geoscience Maps in the Wagga Wagga and Cobar regions of New South Wales The National ASTER Geoscience Maps, freely available from CSIRO/GA (https://data.csiro.au/dap/
More informationSUMMARY. QUARTERLY REPORT for the Quarter Ended 31 March km uranium zone with grades up to 0.03% U 3 O 8 at Lake Seabrook.
QUARTERLY REPORT for the Quarter Ended 31 March 2009 Magnetic Resources NL ABN 34 121 370 232 SUMMARY ASX Code: MAU 35 Outram Street West Perth WA 6005 T +61 8 9226 1777 F +61 8 9485 2840 E info@magres.com.au
More informationINTRODUCTION Prospectivity mapping Study area and methods
Quaternary geological and till geochemical studies in verifying GIS-based prospectivity mapping in the Central Lapland Greenstone Belt, northern Finland Sarala Pertti, Nykänen Vesa, Sarapää Olli, Peltoniemi
More informationDevelopments in the Effective Use and Interpretation of Lithogeochemistry in Regional Exploration Programs: Application of GIS Technology
Exploration Geochemistry Paper 35 Explor97 Master Page Explor97 Contents Previous Paper G O T O Author Index Section Contents Next Paper Developments in the Effective Use and Interpretation of Lithogeochemistry
More informationA Convenient a Joint Venture Patterson Lake South
Patterson Lake South (PLS) Property A Convenient a Joint Venture Patterson Lake South December 2012 TSX.V: AMW and FIS Garrett Ainsworth, PGeo, Alpha Minerals Inc. Saskatchewan Open House, Dec. 2012 Disclaimer
More informationMagnus Copper Project exploration update
ASX ANNOUNCEMENT 30 SEPTEMBER 2011 CODE: ALY BOARD OF DIRECTORS Mr Warwick Davies Non-Executive Chairman Mr Robert Brierley Managing Director Mr John Arbuckle Non-Executive Director Mr Jeffrey Moore Non-Executive
More information3D Modeling for exploration
3D Modeling for exploration Tero Niiranen Acting Division Manager Bedrock and Resources, GTK Rovaniemi office 02.05.2014 1 3D modeling supporting exploration in GTK Visualizing data in 3D world 3D geophysical
More informationMODULE 7 LECTURE NOTES 5 DRAINAGE PATTERN AND CATCHMENT AREA DELINEATION
MODULE 7 LECTURE NOTES 5 DRAINAGE PATTERN AND CATCHMENT AREA DELINEATION 1. Introduction Topography of the river basin plays an important role in hydrologic modelling, by providing information on different
More informationASX Company Announcement
ASX Company Announcement Yellow Rock Resources ACN: 116 221 740 35 Great Eastern Highway Rivervale WA 6103 Telephone: (08) 9361 5400 Facsimile: (08) 9361 5900 Email: info@aurium.com.au Companies Announcement
More informationBank - An Analog for Carbonate Sand Reservoirs*
PS Satellite Imagery and Geological Interpretation of the Exumas, Great Bahama Bank - An Analog for Carbonate Sand Reservoirs* Paul (Mitch) Harris 1 and James Ellis 2 Search and Discovery Article #50200
More informationSaskatchewan s Mineral Resources Lesson: Exploring for Minerals in Saskatchewan: Stream Sediment and Soil Sampling
Saskatchewan s Mineral Resources Lesson: Exploring for Minerals in Saskatchewan: Stream Sediment and Soil Sampling Overview In this activity, students use information from geochemical surveys (stream sediment
More informationDECEMBER QUARTERLY REPORT
DECEMBER QUARTERLY REPORT Resource Mining Corporation Limited ( RMC ) For the period ended 31 st December 2011 HIGHLIGHTS: Resource Mining Corporation Limited ABN: 97 008 045 083 Updated Mineral Resource
More informationPROANA A USEFUL SOFTWARE FOR TERRAIN ANALYSIS AND GEOENVIRONMENTAL APPLICATIONS STUDY CASE ON THE GEODYNAMIC EVOLUTION OF ARGOLIS PENINSULA, GREECE.
PROANA A USEFUL SOFTWARE FOR TERRAIN ANALYSIS AND GEOENVIRONMENTAL APPLICATIONS STUDY CASE ON THE GEODYNAMIC EVOLUTION OF ARGOLIS PENINSULA, GREECE. Spyridoula Vassilopoulou * Institute of Cartography
More information