mineral prospectivity mapping in nigeria thesis

Regional GIS based exploration targeting studies in data ...

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

Francisca Maepa | Harquail School of Earth Sciences

Francisca Maepa PhD candidate Mineral Deposits and Precambrian Geology. Mineral Prospectivity Mapping using machine learning algorithms for the Swayze Greenstone Belt …

Chapter A - USGS

The war curtailed both activities until its end in 1970, when world oil prices were rising and Nigeria again could benefit economically from its petroleum resources in the Niger Delta. In 1971, Nigeria joined the Organization of the Petroleum Exporting Countries (OPEC) with a total production of 703 million barrels of oil (MMBO) per annum.

Mineral Promotion - International Geoscience Services

International Geoscience Services > Government Services > Mineral Promotion All IGS services, whether they are the acquisition of baseline geodata, or institutional strengthening of existing institutions, are ultimately designed to help promote the mineral resources of a country or company.

mallikuva; kuva-alan koko voi vaihdella - gtk.fi

mineral prospectivity mapping. The aim of the thesis is to rank areas within the study area based on their exploration importance, and to compare the different approaches used for modelling and the various applications of these methods. The deposit types concerned are orogenic gold deposits and iron-oxide-copper-gold (IOCG) deposits.

A GIS-Based Mineral Prospectivity Analysis of Central Africa

A GIS-based mineral prospectivity analysis of central Africa . Geoscientific data is often acquired by national and provincial geological surveys but remains under-utilised due to a lack of resources or in-house expertise. One way to utilise this data is to produce

Data-Driven Predictive Modeling of Mineral Prospectivity ...

May 14, 2015· Abstract. The Random Forests (RF) algorithm is a machine learning method that has recently been demonstrated as a viable technique for data-driven predictive modeling of mineral prospectivity, and thus, it is instructive to further examine its usefulness in this particular field.

Browsing by Type "Presentation" - researchspace.ukzn.ac.za

This keynote presentation provides an overview of the developments in GIS-based mineral prospectivity mapping during the past 30–40 years or so. ... This work reviews solar energy inclusion in Africa using Nigeria as a case study. It reviewed studies made on viability, challenges and solutions associated with making solar energy a viable ...

Artificial neural networks: A new method for mineral ...

A multilayer feed‐forward neural network, trained with a gradient descent, back‐propagation algorithm, is used to estimate the favourability for gold deposits using a raster GIS database for the Tenterfield 1:100 000 sheet area, New South Wales. The database consists of solid geology, regional faults, airborne magnetic and gamma‐ray survey data (U, Th, K and total count channels), and 63 ...

Thesis list | UBC Geophysical Inversion Facility

Below are the theses produced by students at UBC-Geophysical Inversion Facility. The PDF sizes are in parentheses. The web links are to the secure site for the online collections at the Koerner Library site where the free download of the thesis is available. The links have been placed for thesis …

Geologi 309 printti - Geologinen Seura

Award for the best PhD-thesis in 2007–2008 was given to Vesa Nykänen (Univ. of Oulu/ GSF). The title of his work is "Spatial data analysis as a tool for mineral prospectivity mapping". The Renlund Foundation gave awards to the best MSc-theses in 2007–2008: Aku Heinonen, Kati Laakso, Ari Brozinski, Heidi Rautanen, Pirkko Nevalainen and Tuo-

A stable downward continuation of airborne magnetic data ...

Highlights A knowledge-driven approach for mineral prospectivity mapping is applied to airborne geophysical data. A stable downward continuation of airborne magnetic data is proposed. Various alteration evidential maps are extracted from remote sensing images. Porphyry copper deposit prospectivity map shows acceptable results. The proposed approach can be applied for large-scale mineral …

Mineral Prospectivity Mapping Method Integrating Multi ...

(CBR) method for mineral prospectivity mapping that takes spatial features of geology data into account and offers an intelligent approach. This method include a metallogenic case representation that combines spatial and attribute features, metallogenic case-based storage organization, and a metallogenic case similarity retrieval model.

Application of geochemical zonality coefficients in ...

In this paper, we also apply WofE for mapping mineral prospectivity. However, the main objective of this paper is to show that, compared to using conventional geochemical anomalies of pathfinder elements, using Vz anomalies improves mapping of mineral prospectivity. 2. …

Henry Ngada - Geoscientist - @ Directorate of Geological ...

MSc (Geoinformation Science and Earth Observation) from International Institute for Geoinformation Science and Earth Observation, ITC (University of Twente) -Enschede, The Netherlands - March, 2009. Thesis: GIS-based Predictive Mapping of Gold Prospectivity - A …

Geochemical Anomaly and Mineral Prospectivity Mapping in ...

Geochemical Anomaly and Mineral Prospectivity Mapping in GIS documents and explains, in three parts, geochemical anomaly and mineral prospectivity mapping by using a geographic information system (GIS). Part I reviews and couples the concepts of (a) mapping geochemical anomalies and mineral prospectivity and (b) spatial data models, management and operations in a GIS.

Prospectivity modeling of Komatiite-hosted magmatic nickel ...

Prospectivity modeling of Komatiite-hosted magmatic nickel sulfide mineral system in the Yilgarn Craton, Western Australia, using ANFIS English abstract: An Adaptive NeuroFuzzy Inference System (ANFIS) is applied to model the potential of komatiite-hosted magmatic nickel sulfide mineral system in the greenstone belts of the Yilgarn Craton ...

Use of fuzzy membership input layers to combine subjective ...

Use of GIS layers, in which the cell values represent fuzzy membership variables, is an effective method of combining subjective geological knowledge with empirical data in a neural network approach to mineral-prospectivity mapping. In this study, multilayer perceptron (MLP), neural networks are used to combine up to 17 regional exploration variables to predict the potential for orogenic gold ...

BGS International Activities

BGS international activities since 1965. British Geological Survey — International 2010 3 MINERALS ... and mineral prospectivity models and maps were produced for each ... The Nigeria geochemical mapping project, worth £2.2 million, is funded by the World

Artificial neural networks : a new method for mineral ...

Mines and mineral resources -- Data processing. Summary. This study represents the first comprehensive study of the application of neural networks to mineral prospectivity mapping. At the time this study was commenced in 1997, there were only two published reports on the use of neural networks for mineral prospectivity mapping.

mining techniques for iron - august-gille.be

list of mining equipment companies in nigeria; mining purification froth flotation; copper mining rotary dryer; mining process plant equipment; supplier of mining equipment for college ... iron mining techniques info_iron mining techniques info …A method for mineral prospectivity mapping . A method for mineral prospectivity mapping ...

New assessment for Central Nigeria's Bida basin highlights ...

Preliminary geological and prospectivity mapping presented in this study defines resource potential in the Bida basin. ... A., "Hydrocarbon prospectivity of Nigeria's inland basins: from the ...

(PDF) Review of Geology and Mineral Resources of Nigeria ...

PDF | Since the creation of the Geological Survey of Nigeria in 1903, numerous studies have been carried out on various aspects of the geology and mineral resources of Nigeria. Early studies ...

PhD - ResearchGate

The study area is located in East Azerbaijan province in the North West of Iran. The purpose of this study is to create a mineral potential map of area by using GIS techniques in information ...

Knowledge-Driven Prospectivity Mapping for Granite-Related ...

The prospectivity map was generated by fuzzy logic modeling and a selection of targeting criteria (or spatial proxies) based on a conceptual mineral system highlighting critical processes responsible for the formation of the polymetallic mineralization.

Application of Machine Learning Algorithms to Mineral ...

Nov 30, 2016· Application of Machine Learning Algorithms to Mineral Prospectivity Mapping. PhD Thesis Defense. Justin Granek. Wednesday, November 30, 2016 · 12:30 pm. Room 203, Graduate Student Centre (6371 Crescent Road) Upcoming Events.

Clustering of mineral prospectivity area as an ...

This paper describes the usage of clustering methods including self-organizing map (SOM) and fuzzy c-means (FCM) which are applied to prepare mineral prospectivity map. Different evidential layers, including geological, geophysical, and geochemical, to evaluate Now Chun copper deposit located in the Kerman province of Iran are used.

Antony Mamuse - Dean of Mining Sciences and Engineering ...

View Antony Mamuse's profile on LinkedIn, the world's largest professional community. Antony has 7 jobs listed on their profile. See the complete profile on LinkedIn and discover Antony's ...