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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




Advances in Mathematical Geosciences, Mineral Resource Evaluation and Mine-Planning

Prof. H. S. Pandalai


Dr. P. V. Rao


Dr. Jennifer McKinley



Mathematical Geosciences and Mineral Resource Evaluation

B. S. Daya Sagar


BS Daya Sagar is a Professor at the Indian Statistical Institute, Bangalore, where he joined in 2007 after a seven-year stint at the National University of Singapore and the Multimedia University, Malaysia. He received his PhD in 1994 from Faculty of Engineering, Andhra University. He received Dr. Balakrishna Memorial Award 1995, Krishnan Medal 2002, Matheron Lectureship Award 2011 of International Association of Mathematical Geosciences (IAMG), and IAMG Special Merit Award 2018.

Detailed CV is attached

Mathematical Geosciences, Geostatistics, Compositional Data Analysis, Fractals, Multifractals, Nonlinear Models, Spatial GeoData Science, Mathematical Morphology, Stochastic Modeling, GeoMap, Estimation of reserves and resources, geological mapping,

An unprecedented progress has been witnessed in recent times in the field of mathematical geosciences, in particular to its application in the field of Mineral Resource Evaluation. However, greatest challenge that contemporary researchers face is to develop algorithms with strong mathematical/statistical theories to extract inference from the loosely structured data obtained in abundance. While conventional methods in mathematics will be of immediate use, a set of intertwined topics--such as data acquisition and representation schemes, geoinformation retrieval, quantitative analysis and reasoning, spatiotemporal modeling and simulation will help in visualization of research to address the fundamental issues in geoscience with new ideas and technique.

The symposia will deal with several advanced mathematical geoscience topics including geostatistics, composite data analysis, mathematical morphology, fractals and non-linear models, stochastic modeling, multivariate spatial data science, geographic information science, parametric and non-parametric methods, data mining and artificial intelligence and important developments in their applications in geosciences, in general, and more specifically in geological mapping and modeling, mining, petrological and geochemical data analysis, and natural resource estimation. The symposium will address all issues that would go a long way for (i) a deeper understanding of the complex terrestrial dynamics, (ii) making the predictions of disasters and (iii) detection and quantification of natural resources.

Mine Planning and Scheduling

TN Gunaseelan


Ernst Bernhard Teigler


1. Dr. Bernd Teigler is an economic geologist specialising in geology, exploration, resource definition and project development. Bernd has more than 25 years of international experience in the area of exploration and project development.

2. Gunaseelan is mining engineer specializing in mine planning, mine business project evaluation and has more than 30 years of international experience.

Resource cycle, project development, design optimization, mine scheduling, modelling

Resource cycles with associated sharp declines of commodity prices are well known and occur repeatedly during the lifetime of most mines. This implies that industry and operations are in a permanent status of optimisation and improvement. Furthermore, projects in development may have to be completely re-assessed, if economic studies are completed at different stages in the commodity cycle. With change in the definitions of ore and reserve, cut-off grades, pit design, may have to be reviewed. In this context, this symposium will address progression from preliminary economic assessment to pre-feasibility study and, finally, feasibility study as important process for revisit of earlier options. The symposia will focus on latest advances and developments in design optimization, pit design, pit optimization, underground mine planning and mine scheduling.

Latest advances in the methodology of stochastic mathematical based algorithms for long term and short term mine scheduling, computer-aided modeling as tool to improve efficiency in mining and exploitation will be discussed in the backdrop of financial modeling and need of optimisation.

Need for Big data utilisation and automated monitoring of equipment and production as an early response will be dealt with if reconciliation shows high variations between modeled and actual parameters, e.g. high dilution factors, sub-economic mill feeds and low recoveries.

Risk Analyses in Mineral Resource Evaluation, Mine Planning and Operations

Abani R Samal (USA)

Edson Ribeiro (Brazil)

Mark Burnett


1. Mr. Edson Ribeiro is an executive and technical leader of Vale. He holds B.Sc. Degree in Geology from the University of São Paulo and M.Sc. degree in Metalogenesis from the University of Campinas (São Paulo, Brazil). He is a registered member of SME and member fo the Brazilian Commission for Resources and Reserves (CBRR). He is the Brazilian representative with CRIRSCO.

2. Dr Abani R Samal holds M. Tech degree from IIT(ISM), Dhanbad, MS and DIC from Imperial College, London and PhD from SIU-C, USA. He has nearly 22 years of experience in the mining industry and recognized for his expertise in mineral deposit evaluation. He is a Registered Membership of SME and a Certified Professional Geologist (CPG) with AIPG. He also maintains as a life member of MEAI, MGMI, fellow of GSI (India), a Fellow of SEG.

Detailed CVs are attached

Resource, Reserve, Risk, uncertainty, mining

Mineral deposit development and evaluation of mineral resources involve various activities such as geological data collection through mapping, surface exposure sampling, geochemical sampling of soil or stream sediment, drilling and core/ sludge sampling, laboratory testing of samples both by traditional and instrumental analysis, deposit modeling, computerized resource / reserve estimation, mine design, short/ long/ life of mine planning, scoping, pre-feasibility & feasibility studies, and defining life of mine. There are several uncertainties associated with all these activities such as errors during data collection, variances due to laboratory testing methods, collection of density data, resource estimation parameters etc. There are also uncertainties associated with various other non-technical factors such as commodity prices due to their non-uniform cyclical nature, political and economic conditions of a country or state.

Technical sessions under this symposium will address various topics such as caution needed with geological data collection, data interpretation, computerized modeling and estimation of mineral resource and reserve, defining life of mine plan etc. Quantification of risks due to geological variabilities in major mining operations will be discussed in minimizing potential negative consequences in mining operations. Risk identification during various other studies such as scoping, pre-feasibility and feasibility studies will also form part of the discussion.