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Information on Symposia per Science Theme





Theme No.

Theme Title

Number of Symposia proposed

Symposia Title

Symposia Conveners

Biographical sketch of the Conveners

Keywords

Abstract

39

Geoscience Information - Integration


Prof. Alok Porwal

alok.porwal@gmail.com

(India)


Dr. Vinod Kumar

vinodkumar_k@nrsc.gov.in

(India)


Shri M. N. Mishra

mnmishra4@yahoo.co.in

(India)


Dr. Ignacio González-Álvarez

Ignacio.Gonzalez-Alvarez@csiro.au

(Australia)

4

Mineral Systems Approach to Exploration Targeting

Alok Porwal alok.porwal@gmail.com

(India)


Ignacio González-Álvarez

(Australia)


1. Alok hold PhD in model-based mineral prospectivity modelling and are well-known expert in the field of mineral prospectivity modelling, with wide ranging academic and industry experience.


2. Ignacio did his BSc and MSc specializing on stratigraphy and basin analysis at the University of Oviedo, Spain; and did his PhD at the University of Saskatchewan, Canada. His work at CSIRO involves the coordination of a diverse portfolio of multi-disciplinary projects and data integration in different regions in Australia, as well as projects in Papua New Guinea, Europe, South Africa, India and South America.

Mineral systems approach, exploration targeting, prospectivity analysis

The systems approach to understand formation and spatial localization of mineral deposit, termed the mineral systems approach, has been gaining wider acceptance over the past decade. In this approach, mineral deposits are regarded as economically significant concentrations of metal(s) brought about by synergistic interaction of diverse geological subsystems operating on a variety of scales in Earth’s crust to focus substantial mass and energy flux. These diverse mass-energy flux subsystems collectively constitute a mineral system. All subsystems must operate interactively in space and time in order to form an economic mineral deposit. This symposium invites contributions on mineral systems modelling and new developments in the field.

Mineral Orospectivity Modelling: State of the Art

E John M Carranza ejmcarranza@gmail.com

(South Africa)


Alok Porwal

(India)


Alok and John hold PhD in model-based mineral prospectivity modelling and are well-known experts in the field of mineral prospectivity modelling, with wide ranging academic and industry experience.

Mineral targeting, Geospatial Mathematical Modelling, Mineral Potential Mapping,

Model-based mineral prospectivity mapping is widely used as a predictive desktop tool for narrowing down target areas for ground exploration at different scales ranging from regional to the deposit level. The input geological features are considered spatial proxies of the mineralization processes and are termed predictor or evidential maps. The integration functions that are used in mineral prospectivity modelling vary from simple arithmetic or logical operators to complex mathematical functions. In this symposium models will be discussed either as data-driven or knowledge-driven depending on whether the function parameters are estimated heuristically based on expert-knowledge or empirically based on the spatial statistical relationships between the known deposits of the targeted type and the predictor maps.

Remote Sensing & Geosciences

Carlos Roberto de Souza Filho beto@ige.unicamp.br

(Brazil)


Professor Carlos Roberto de Souza Filho is a well known expert in the field of Multispectral, Hyperspectral and Ultraspectral Remote Sensing, Hyperspectral Core Logging, Hyperspectral Mine Face Mapping, drone-based surveys.

Geologic remote sensing, Hyperspectral remote sensing, Spectroscopy, Mineral Targeting

This symposium will focus on the recent developments in the field of geologic remote sensing. Particular emphasis will be on hyperspectral remote sensing including air-borne and space-borne sensors, data preprocessing and atmospheric corrections, image processing and algorithms for the extraction of the geological information especially surface geological mapping, vegetation suppression, alteration mineral mapping, and structural interpretation.

Geocomputation and Data Analytics for Geological Data Mining and Knowledge Discovery

E J Holden

eun-jung.holden@uwa.edu.au

(Australia)


Jens Klump (Australia)


1. Prof Eun-Jung Holden is a co-leader of the geophysics and image analysis theme within CET. She gained a PhD in computer science at UWA specialising in computer vision and visualisation algorithms. She works on geoscience data integration and interpretation using data mining techniques.

2. Jens earned degrees in geology and in oceanography from the University of Cape Town (UCT) and received his PhD in marine geology from the University of Bremen, Germany. Jens' current work focuses on geoscience data capture and analysis for minerals exploration. This includes automated data and metadata capture; sensor data integration both in the field and in the laboratory; data processing workflows; data provenance; and data analysis using statistical methods, machine learning and numerical modelling.

Geocomputation; Geologic Data Mining; Knowledge Discovery; Machine Learning; Deep Learning; Big Data Analystics.

This symposium will focus on the latest computational developments for geoscience data processing, analysis, interpretation and visualization. The topics would include hardware developments including HPC, new algorithms for geoscience data mining and knowledge discovery including machine learning, deep learning, Big Data Analytics etc., visualization, automated feature extraction etc.