Short Courses

The IAMG Organising Committee invite you to participate in one the many Short Courses on offer at The International Association for Mathematical Geosciences Conference. 

These Short Courses provide intensive training to help advance your career, update your skills and knowledge, or meet specific legislative requirements.

To register for any of the Short Courses listed below please click here to register!

The following short courses have been cancelled. All delegates who have registered for these short courses will receive a full refund. 

  • Short Course 5: Image Analysis, Visualisation and Geological Pattern Recognition for Mineral Exploration
  • Short Course 7: Mathematical Morphology in Interpolations and Extrapolations
  • Short Course 10: Multiscale Analysis of Hydrothermal Mineralising Systems
  • Short course 13: Chemometric methods applied to spectral sensing data for exploration and resource characterisation
  • Short Course 14: Resource and Reserve Classification through JORC and VALMIN Codes 
  • Short Course 15: Non-Linear Geostatistics with an emphasis on Localised Unifrom Conditioning (LUC)

The Short Courses that have been confirmed are as follows:

Short Course 1: Introduction to compositional data analysis

Compositional data are vectors showing the relative importance of the parts of a whole. Typical examples are data in percentages, ppm, ppb, molar composition, or the like, common in many fields of science, particularly in the geosciences. The classical statistical analysis of this data type suffers from many problems, including spurious correlation. As a solution to these problems, J. Aitchison introduced the log-ratio approach in the eighties. Since then, progress has been made in understanding the geometry of the sample space, the D part simplex. This course provides an introduction to the theory and practice of statistical analysis of compositional data aspects, as well as a forum for informal discussion on more advanced topics. It also provides an introduction to available software, which includes Codapack and some packages in R. Codapack is freeware (http://imae.udg.edu/codapack/) specifically developed for the statistical analysis of compositional data. It is an easy to use tool for elementary exploratory analysis and is used in most course activities. For the treatment of zeros the R package zCompositions is used, and for some more demanding statistical techniques, other R packages (compositions, robCompositions) are introduced. 

Date: Monday 28 August – Friday 1 September 2017
Time: 9:00am – 6:00pm
Cost: A$500
Registration: Click here to register 
Requirements: Participants should bring their laptops with R and RStudio installed, CodaPack is required

The location is:
ARRC Building (Boardroom)
26 Dick Perry Avenue
Kensington, WA 6151

Limited free parking is available at the front of the building if required.
For public transport options, please go to: http://www.transperth.wa.gov.au/Journey-Planner

Catering:
Morning and afternoon tea will be provided.
Lunch: participants can bring their own lunch, there is a canteen across the road where they can buy lunch or if they have own transport there are a variety of different eating places close by.

What to bring for tutorials:
Own laptop with free software packages installed (see “software” slide on the schedule).
Own data for tutorials if desired.

Questions:
Please contact June Hill: June.Hill@csiro.au 

Course Outline:

  1. Hypothesis underlying any statistical analysis (sample space, scale operations).
  2. The Aitchison geometry of the simplex.
  3. Representation in coordinates; distributions in the simplex.
  4. Exploratory analysis (centre, variation matrix, biplot, dendrogram, balances).
  5. Irregular data: zeroes, outliers, missing data.
  6. Random compositions. Normal distribution in the simplex.
  7. Methods of multivariate analysis with compositional data: regression, MANOVA, discriminant analysis and cluster analysis.
  8. Compositional processes.

Course Schedule:

  • Morning: Lectures
  • Afternoon: Practicals using participants own data

Course Instructors: Prof Vera Pawlowsky-Glahn and Prof Juan José Egozcue

Juan José EgozcueJuan José Egozcue studied Physics, oriented to Geophysics and Meteorology, at the University of Barcelona (Spain). He obtained his PhD in the same university with a dissertation on maximum entropy spectral analysis (1982). He taught several topics of Applied Mathematics and Probability and Statistics at the Civil Engineering School in the Universidad Politécnica de Cataluña (UPC, Barcelona, Spain). He became Full Professor in 1989, at the UPC, and he retired on February 1st 2016. He is now Emeritus professor of UPC.  His research activities are presently centered in two lines: estimation of natural hazards using Bayesian methods, and statistical analysis of compositional data, with special emphasis in the geometry of the sample space, the simplex.  He has been leader of several research projects. Most of them on hazard and vulnerability of coastal and port structures under action of severe ocean-waves. At present, he participates actively in a project on compositional data analysis. Research contributions have been published in many journal articles and most important results are summarized in the book “Modeling and Analysis of Compositional Data” (Wiley 2015), co-authored by V. Pawlowsky-Glahn and R. Tolosana-Delgado.

Prof Vera Pawlowsky-Glahn 200x230Dr. Pawlowsky-Glahn is professor at the University of Girona, Department of Computer Science, Applied Mathematics, and Statistics. She studied Mathematics at the University of Barcelona, Spain, and obtained her PhD (doctor rerum naturam) from the Free University of Berlin, Germany. Before going to Girona, she was professor in the School of Civil Engineering at the Technical University of Catalonia (UPC) in Barcelona. Her main research topic since 1982 has been the statistical analysis of compositional data. The results obtained over the years have been published in multiple articles, proceedings and books. Together with A. Buccianti she has acted as editor of a book in honour of J. Aitchison in 2011 published by Wiley, who has also published in 2015 a textbook on modelling and analysis of compositional data, co-authored with J.J. Egozcue and R. Tolosana-Delgado. Until 2008, she was the leader of a research group on this topic involving professors from different Spanish universities. The group organises every two years a workshop on compositional data analysis, known as CoDaWork, and their research has received regularly financial support from the Spanish Ministry for Education and Science and from the University Department of the Catalan Government. Prof. Dr. Pawlowsky-Glahn has been vice-chancellor at UPC from 1990 to 1994, head of the Department of Computer Science and Applied Mathematics at the University of Girona in 2004-05, and dean of the Graduate School of the University of Girona in 2005-06. She received in 2006 the William Christian Krumbein Medal of IAMG, was nominated Distinguished Lecturer of IAMG in 2007, and received the J.C. Griffiths Teaching Award in 2008. From 2008 to 2012 she was President of IAMG and is Past-President for the period 2012-2016. From 2015 to 2017 she is President of the Association for Compositional Analysis, founded in L’Escala (Spain) in June 2015.

 

Short Course 2: RGeostats to review geostatistical concepts

Geostatistics has now gained momentum and is commonly used in domains as diverse as Mining, Oil & Gas, Air Water and Soil quality monitoring and many other fields. Geostatistics provide a powerful and flexible suit of procedures to analyze and map almost any type of spatial data. It also provides sound techniques for uncertainty evaluation and risk assessment.
The team of Geostatistics of Mines ParisTech (formerly headed by Prof. G. Matheron) has decided to help disseminating the theory by producing the package RGeostats. This package, developed on the R platform, is available on http://cg.ensmp.fr/rgeostats where the user can also find some interesting pieces of information (tutorials, helps, FAQ).
The 2 days workshop gives an opportunity to review the main concepts of Geostatistics.
The attendee will put them in practice to solve specific problems on real data sets, building relevant workflows with the RGeostats package.

Date: Friday 1 September – Saturday 2 September 2017
Time: 9:00am – 6:00pm

Friday 1 September 2017
Venue
: The University of Notre Dame, 32 Mouat Street, Fremantle, WA 6959
Room: ND16/108
Saturday 2 September 2017
Venue: The University of Notre Dame, 32 Mouat Street, Fremantle, WA 6959
Room: ND21/106

Cost
: A$180
Registration:  Click here to register 

Course Instructors: Didier Renard and Nicolas Desassis

Didier Renard Renard graduated from the Ecole des Mines de Saint-Etienne, France. He is now a senior geostatistician and has been working in the Team of Geostatistics in the Center of Geosciences of Mines ParisTech for more than 30 years.
At the head of the Petroleum group, he actively contributes to the inception, development and testing of new algorithms. He is one of the main authors of several well-known geostatistical commercial packages such as BLUEPACK and more recently ISATIS (©Geovariances). He is the main author of RGeostats which provides a complete toolbox of geostatistical methods on the R platform.
Besides series of consulting activities for petroleum industry (Shell, Statoil, ENI, Total) he is involved in educational activities, teaching courses to students of Mines ParisTech and having trained several hundreds of practitioners all over the world.
Nicolas Desassis Nicolas Desassis is currently a research fellow in the Geostatistics team of the Centre de Géosciences of MINES ParisTech. He received a master (2003) in biostatistics and a PhD (2007) in statistics from the University of Montpellier 2, France (partnership with the Biostatistics for Spatial Process laboratory, INRA, Avignon, France). He also worked at INRIA (National Institute of Research in Automatic and Informatics) (2008) on spatio-temporal simulation of forest dynamics. Dr. Desassis’s research interests are in the area of geostatistics and spatial modelling more specifically in the inference of the spatial models (automatic variogram fitting, plurigaussian models…) and in conditional simulations. He also contributes to develop new Bayesian methods for inverse problems in geophysics.

Course Outline:

1) The Variogram and its extension (variogram cloud, variogram map) and the Model selection (fitting procedures)
2) Estimation using an optimal linear predictor: Kriging (simple, ordinary, intrinsic) and its extension (cross-validation). Neighborhood specification.
3) Multivariate Geostatistics. Bivariate statistics (covariance, linear model …) and multivariate spatial tools (cross-variogram and cross-covariance). Linear Model of Coregionalization. Multivariate estimation technique (Co-Kriging) and its extensions (collocated Co-Kriging, External Drift concept …). Factorial Kriging Analysis.
4) Simulations. Spatial law and Gaussian random function (anamorphosis). Conditional laws. Gibbs technique; Sequential Gaussian Simulation (SGS) algorithms; Turning bands algorithm; Stochastic Partial Derivative Simulations
5) Simulations of (one or several) categorical variables. Principles and inference of the parameters of the spatial characteristics. Using one or several underlying Gaussian Random Functions (PluriGaussian). Conditioning.

Equipment: Participants are expected to bring their own laptops with R and RStudio installed.

 

Short Course 3: Uncertainty in 3D Geological Modelling

This workshop will explore the basics of 3D geological modelling and uncertainty analysis using implicit modelling codes. Workshop participants will have the opportunity to see these techniques applied to the 3D geology of a complexly deformed terrain. The transfer of geological uncertainty into geophysical inversion codes will be presented as an example of transferring knowledge on uncertainty to downstream applications.

Each session will close with a group discussion that covers current capabilities and future trends in combining geological and geophysical uncertainty, including improved data to geometry engines, new visualisation and analysis tools for uncertainty estimation, and extension of these techniques to other downstream applications.

Date: Saturday 2 September 2017
Time: 9:00am – 6:00pm
Venue: The University of Notre Dame, 32 Mouat Street, Fremantle, WA 6959
Room: ND21/101
Cost: A$180
Registration:  Click here to register 

Course Instructors: Prof Mark Jessell & Dr Mark Lindsay, Dr Li Nan, Dr Vitaliy Ogarko, Evren Paykuz-Charrier, Jérémie Giraud

MJ Mark Jessell is a Winthrop Professor and Western Australian Fellow at the Centre for Exploration Targeting at The University of Western Australia. His scientific interests revolve around microstructure studies (the Elle platform), integration of geology and geophysics in 2 and 3D (the WA_In3D project), and the tectonics and metallogenesis of the West African Craton (WAXI).
ML Mark Lindsay is a Research Fellow at the Centre for Exploration Targeting, School of Earth Sciences, the University of Western Australia. Mark’s research focusses on the complexities of uncertainty and ambiguity in 3D geological and mineral potential modelling, and the process and psychology of data interpretation. Mark is working toward a stochastic approach to modelling that attempts to understand the relative importance of different data types in answering geoscientific questions, including those pertaining to mineral exploration, environmental and ground water management, and landform studies.
NL Dr Nan Li is a PostdDoc at the Centre for Exploration Targeting at The University of Western Australia and Associated Professor at Chinese Academy of Geological Sciences. The interesting researches of Nan’s are 3D modelling geometry program and Model-based prospectivity mapping at depth by 3D models and uncertainty
VO Dr Vitaliy Ogarko completed his MSc in Applied Mathematics and Informatics at Novosibirsk State University in 2008, focusing on parallel iterative methods for solving 3D diffusion-convection boundary value problems. He gained a PhD at the University of Twente in 2014, studying the mechanical and physical behaviour of highly polydisperse (in size) granular- and colloidal-like 3D systems, using theory and computer modelling. He is currently a main developer and architect of the 3D parallel geophysical joint inversion code Tomofast3D.
EP Evren Pakyuz-Charrier is pursuing a PhD in Geostatistics and Geological 3D modelling at UWA. His work involves advanced propagation of uncertainty through the use of Monte Carlo sampling over geometric inputs. He is main developer of the Common Uncertainty Research Engine.
JG Jeremie Giraud graduated as a geophysicist from EOST (Strasbourg), after which he joined the petroleum industry to work on integration problems applied to reservoir characterization. More recently he decided to pursue other challenges and started a PhD at the Centre for Exploration Targeting (University of WA) to focus on his main interest in the geosciences: integrated joint inversions.


Course Outline: History of 3D modelling and inversion, Introduction to geological uncertainty, Software Demonstrations: manual tuning, parameter sweeps and data uncertainties in 3D, Introduction to geophysical inversion & petrophysical uncertainty, Software Demonstrations: geologically and petrophysically constrained geophysical inversion, Future Directions

 

 

Short Course 4: Characterization of Geophysical Signals Using Multifractal Analysis

Multifractal analysis has been proved to be one of the efficient nonlinear data adaptive signal analysis techniques that can unravel the hidden information from various nonlinear geophysical signals. It has drawn a great deal of attention of scientists in varied disciplines of science and engineering, such as geomagnetism, atmospheric turbulence, space-time rainfall, ocean wind waves, fluid dynamics, seafloor bathymetry, geophysical well-logging and climate change studies among others for its unique ability to help improve the interpretation of the data. The multifractal analysis has been formalized into a thorough mathematical framework to determine the multifractal behaviour of nonlinear signals. In this short course, we shall discuss determination of the multifractal behaviour of geophysical signals using Multifractal Detrended Fluctuation Analysis (MFDFA). The MFDFA, which in fact, is a generalization of detrended fluctuation analysis (DFA), provides a comprehensive understanding of the multifractal behaviour of the signals through the multifractal singularity spectrum as well as the Hurst exponents, estimated in a modified least-squares sense.

The course is mainly designed for scientists and researchers to help view their research problems in a new angle with this novel signal analysis technique. The course will cover basic principles and a thorough introduction of fractals and multifractals, with a special reference to their applications in (i) ionospheric TEC (total electron content) data analysis, (ii) geomagnetism and (iii) geophysical well-log data analysis. Special emphasis is given to interpretation of the analyses results.

Date: Saturday 2 September 2017
Time: 9:00am – 6:00pm
Venue: The University of Notre Dame, 32 Mouat Street, Fremantle, WA 6959
Room: ND21/102
Cost: A$130
Registration:  Click here to register 

Course Instructor: Prof. E. Chandrasekhar

ECDr. E. Chandrasekhar is currently a full Professor of Geophysics at Department of Earth Sciences, IIT Bombay, Powai, Mumbai, India. After obtaining Masters degree in Geophysics from Osmania University, Hyderabad, India, he joined Indian Institute of Geomagnetism (IIG), in Mumbai, as a researcher. While serving at IIG, he completed his Ph.D in Physics from University of Mumbai in 1999 with specialization in electromagnetic induction techniques. Later he accepted the prestigious JSPS postdoctoral fellowship and worked at Kyoto University, Japan, during 2000-2002.  He was awarded a visiting scientist position by CNPq of Brazil, and worked at Observatorio Nacional, Rio de Janeiro, Brazil, during 2003-04, before joining IIT Bombay as a faculty in 2004. He was awarded the DAAD short term visiting fellowship to visit GeoForschungsZentrum (GFZ), Potsdam, Germany in 2010. Recognizing the importance of various novel signal analyses techniques such as, wavelet analysis, fractal and multifractal analysis, and empirical mode decomposition analysis in geophysics, Prof. Chandrasekhar applied them to a variety of geophysical signals of different origins. As a lead editor, he brought out a book on “Wavelets and Fractals in Earth System Sciences”, published by CRC Press, Taylor and Francis group, UK in 2013. His research interests are: Geophysical signal processing, electromagnetic induction studies, and Geomagnetism.

Course Outline:

Morning Session: Introduction to Fractals and Multifractals. Differences between multifractality of geometrical shapes and time series. Different methods to determine the multifractality of signals. Introduction to DFA and MFDFA.

Afternoon Session: Application of MFDFA to (i) Ionospheric TEC data, (ii) Geomagnetism and (iii) Geophysical Well log data.

 

 

Short Course 6: Mathematical and statistical basics of prospectivity modeling

Prospectivity modeling aims at the prediction of the georeferenced conditional probability of the presence or absence of a target given favorable or prohibitive georeferenced predictors, or the construction of a two classes {0, 1} classification of the target. More specifically, the objective is to recognize locations for which the predicted conditional probability is a relative maximum. Despite the ubiquity of mathematical/statistical methods and approaches to prospectivity modeling, the mathematical assumptions to authorize them do not seem to be too well communicated. The subject of the course are various widely used methods and procedures of prospectivity modeling like weights of-evidence and its variants, logistic and Cox regression, artificial neural nets, and others. The course puts special emphasis on their mathematical/statistical origins, their modeling assumptions, and their relationships to one another. The objective of the course is to provide participants with a better insight to distinguish different approaches and check criteria of their proper application.

Date: Saturday 2 September 2017 – Sunday 3 September 2017
Time: 9:00am – 6:00pm
Venue: The University of Notre Dame, 32 Mouat Street, Fremantle, WA 6959
Room: ND21/103
Cost: A$180
Registration:  Click here to register 

Course Presenter: Helmut Schaeben

HSHelmut Schaeben has been  professor of Geomathematics and Geoinformatics in the Department of Geosciences, Geoengineering and Mining atTU Bergakademie Freiberg, Germany since 1996. A mathematician by education he spent his professional life with geo- and material scientists at universities in Aachen (Germany), Berkeley (CA, USA), Bonn (Germany), Metz (France) and eventually Freiberg. He holds a doctorate and a habilitation both from RWTH Aachen. His general professional interest is the development of mathematical and informatical models and their numerical realisations for applications to geological and material sciences. He serves on the editorial board of Mathematical Geosciences and Geomathematics. Having contributed to the EU Project “Nano–particle Products from New Mineral Resources in Europe – ProMine” (2009-2013) which marked a major shift in European raw material politics, he became increasingly interested in the mathematics and statistics of prospectivity modeling. On the occasion of the 34th IGC in Brisbane he received the John C. Giffiths Teaching Award 2012 from International Association for Mathematical Geosciences (IAMG).


Course Outline: Two morning sessions, 2 x 1.5h lectures each: Probability, odds, logits, conditional probability, Bayes formula; Correlation, stochastic independence, conditional stochastic independence (CI); Checking CI, testing CI, Hammersley-Clifford theorem; Spatial resolution, indicator transform, spatially induced stochastic dependence; Weights of evidence, generalized weights-of-evidence, weights-of-evidence assuming CI; Ordinary logistic regression, logistic regression including interaction terms; Statistical Learning: Artificial neural nets, etc.; Point processes, Cox regression

Two afternoons, 2 x 1.5h hands-on exercises using the free statistical software R installed on participants’ own laptop or notebook. R-scripts and data sets will be provided by instructor.the following will be covered: Basic calculations with R; Plotting map images with R; Function to run weights-of-evidence; R function glm to run logistic regression; R packages for other methods

Equipment: Participants are expected to bring their own laptops with R and RStudio installed.

 

Short Course 8: Image Processing using Python

This is a hands-on course on digital image processing using the open source package scikit-image, an image processing library with algorithms and utilities for use in research, education and industry. It is developed by an active, international team of collaborators, providing a well-documented system based in the Python programming language. Applications of each topic will be given using optical microscopic images.

Date: Friday 8 September 2017
Time: 9:00am – 12:00pm
Venue: The University of Notre Dame, 32 Mouat Street, Fremantle, WA 6959
Room: ND21/102
Cost: A$80
Registration:  Click here to register 

Course Presenter: Alexandre Fioravante de Siqueira

ADDr Alexandre de Siqueira is a specialist in Image Processing and Computer Vision applied to photomicrographs. Open source and open science advocate, he is the author of the book ‘Octave – Seus primeiros passos na programação científica’ (Octave – Your first steps on scientific programming, free translation), a core member on the scikit-image community, and writer on www.programmingscience.org. Currently he is a Postdoctoral Researcher at University of Campinas, Brazil, and TU Bergakademie Freiberg, Germany, working on methods to automatically count and measure tracks on photomicrographs of different minerals.”

Course Outline: Installing Anaconda, a Python distribution, Handling images using Python, Pre-processing and enhancing images, Image binarization and segmentation, Region properties and labels

 

Short Course 9: Advanced Analytics for Evaluating and Interpreting Geochemical Data

Participants of this workshop will learn methods for data analytics in geochemistry. Over the last decade there has been a rapid growth in the application of data analytics for data-driven business decisions in virtually every industry. In the next 10 years the mining industry will have to rapidly adopt and apply the power of data analytics to the ever-growing volume of geochemical data sets. However, geochemical data have unique mathematical properties and should not be analyzed without consideration of its structure. Geochemical data are “compositions”; and by definition, must sum to a constant (e.g.100%) and therefore none of the components (elements/oxides) are free to vary independently. This special property of geochemical data can lead to erroneous results when standard data analytics methodologies are applied.
The workshop will cover the application of ratios and logratios to compositional data; molar element ratio methods; multivariate methods including principal component analysis, cluster analysis, discriminant analysis, classification and regression trees, multi-fractals, linear/non-linear geostatistics.

Date: Sunday 3 September 2017
Time: 9:00am – 6:00pm
Venue: The University of Notre Dame, 32 Mouat Street, Fremantle, WA 6959
Room: ND21/104
Cost: A$130
Registration: Opens Wednesday 1 March 2017

Course Presenters: Natalie Caciagli, Juan Carlos Ordonez-Calderon, Eric Grunsky, Qiuming Cheng, Raimon Tolosana-Delgado, Cliff Stanley, Jennifer McKinley, Ute Mueller, June Hill

 Natalie Caciagli Natalie Caciagli (Ph.D.) is a Senior Geochemist at Kinross Gold where she works on a wide range of international projects in Exploration, Mine Planning, Resource Estimation, Geometallurgy and Production. She combines compositional data analysis and data science techniques and she has applied Artificial Intelligence (AI) and machine learning tools to mining projects, integrating data in geochemistry, lithology, alteration mineralogy, and metallurgy. Natalie has an MSc in Geology from the University of California, Los Angeles and a PhD in Geology from the University of Toronto in Canada. She has presented at numerous workshops and academic conferences, as well as authoring a number of research papers. Her experience in mining analytics spans North America, South America and, West Africa.
 Qiuming Cheng Qiuming Cheng is a Chinese mathematical geoscientist. Qiuming is currently a full professor and founding director of the State Key Lab of Geological Processes and Mineral Resources, China University of Geosciences. He received the William Christian Krumbein Medal in 2008 from the International Association for Mathematical Geosciences. He was the President of the International Association for Mathematical Geosciences (2012-2016). He is currently the President of the International Union of Geological Sciences (IUGS).
 Eric Grunsky Eric Grunsky is a professor at the China University of Geosciences, Beijing, China and is currently Secretary General for the IAMG. Eric is been noted for his research in the application of multivariate statistical methods and spatial statistics applied to geochemical data.
 June Hill June Hill is a research scientist with CSIRO Mineral Resources. Her current research interests are in automating the interpretation of drill hole data. Her fields of expertise include compositional data analysis, spatial data analysis and 3D geology modelling. June has a PhD in structural and metamorphic geology and a Masters of Engineering Science in pattern recognition.
 Dr Jennifer McKinley Dr Jennifer McKinley, Reader, School of Natural and Built Environment, Queen’s University Belfast. As a Chartered Geologist, I currently hold a number of international roles including: President of the International Association of Mathematical Geoscientists (2016-2020); Trustee and Member of Council of the Geological Society London, Communications Officer for the IUGS-IFG (Initiative on Forensic Geology) and Secretary for the Royal Irish Academy Geosciences and Geographical Sciences committee. My research has focused on the application of spatial analysis techniques, including geostatistics, compositional data analysis and Geographical Information Science (GIS), to soil geochemistry, environmental and criminal forensics, human health, slope instability, airborne geophysics and weathering studies. I have authored more than 100 scientific articles, including peer-reviewed journal articles; 1 co-authored book (Geoforensics); peer-reviewed book chapters; technical reports and numerous international conference contributions. Interdisciplinary collaboration and strong partnership working with multiple stakeholders, underpins all of my research, culminating in strong international associations.
 Ute Mueller  Ute Mueller is an associate professor in mathematics at Edith Cowan University in Perth Australia. She has been involved in research on geostatistical methods for the last 20 years and her current focus is on the geostatistical modelling (simulation and estimation) of multivariate data, including compositional data. Of particular interest is the quantification of uncertainty.  
Juan Carlos Ordóñez Juan Carlos Ordóñez is as a Geochemist with Hudbay Minerals and an adjunct professor at the Harquail School of Earth Sciences at Laurentian University. His key expertise includes applied geochemistry and field geology of mineral deposits. Juan Carlos approaches geochemistry from a compositional data analysis and data analytics perspective to integrate geochemistry with geological, mineralogical, and geometallurgical data. He has an MSc and a PhD in petrology and geochemistry from, respectively, Shimane University in Japan and the University of Windsor in Canada. He has over 15 years of experience dealing with geochemical data in diverse mineral systems such as porphyry, skarn, VMS, IOCG, sedimentary hosted, and epithermal deposits in 10 different countries spanning Precambrian shields to Cordilleran settings.
 Cliff Stanley Cliff Stanley  received his MSc and PhD from the University of British Columbia, both under the supervision of Alastair Sinclair. Cliff then served in several post-graduate research posts and as Adjunct Professor in economic geology at the Mineral Deposit Research Unit at UBC. In 1998, Cliff became assistant professor in applied geochemistry in the Department of Earth and Environmental Science at Acadia University in Nova Scotia. At present, Cliff is a full professor with research interests centred around numerical applications in geochemistry and petrology. ratio analysis to lithogeochemical data.
 Raimon Tolosana-Delgado Raimon Tolosana-Delgado is an engineering geologist and holds a PhD in environmental technology and physics, specialist in compositional data analysis and geostatistics, particularly applied to the Earth sciences. In the last 15 years, he has coauthored 40 papers in peer reviewed journals. Currently he is executive vice-president of the International Association for Mathematical Geosciences, and works at the Department of Modelling and Valuation of the Helmholtz Institute Freiberg for Resource Technology (Germany) doing research on mineral exploration models, geometallurgical orecharacterisation and modeling, or minerals processing simulation and optimisation.

 

Course Outline:

Part 1.- Geochemical data
(a) Understanding the nature of geochemical data – brief intro
(b) Selecting suitable extraction methods geochemical methods and sample design
(c) Choosing the right sampling density (spatial), also known as support
(d) data preprocessing, imputation and levelling

Part 2.- Molar Element Ratios
(a) The effects/benefits of using element ratios to overcome some aspects of closure
(b) Pearce/Generalized Element Ratio methods for identifying geochemical processes.
– Examples: use in mineral exploration programs

Part 3.- Understanding the compositional nature of geochemical data
(a) Log ratios are the tools used to evaluate the relative relationships of geochemical data
(b) Basic theory of log ratio methods / clr-ilr-alr
(c) exploratory analysis for CoDa ternary, PCA, Balances

Part 4.- Statistical tools for Geochemical compositions – Applications
(a) Model selection and model evaluation
Model selection and validation
Variable selection: Removing noise
Training and test datasets: Teaching geochemistry to recognize patterns
Model bias versus model variance: Understanding overfitting
Cross-validation: Tools for selecting the best model
(c) PCA/Cluster analysis/Random Forests
(d) Bayesian/kernel methods for exploration & mining
(e) multi-fractals in exploration
(f) Utilizing the geospatial context – Minimum/maximum Autocorrelation Factor Analysis

 

Short Course 12: Practical Stratigraphic Forward Modelling

Stratigraphy is the scale-independent preserved record of many interacting erosion, transport and depositional processes and events. Numerical stratigraphic forward modelling (SFM) attempts to simulate the physical, chemical and biological processes that have been, are, and will be responsible for stratal architecture over time scales from seconds to millions of years. We can only demonstrate that we understand these processes by making quantitative predictions about stratal architecture and rock properties, away from observations, at all scales and time intervals from the Pre-Cambrian to the future. Using this technology earth scientists can develop quantitative multiple working hypotheses of basin fill and the response of depositional systems to future climate change. The course will focus on hands-on use of the Sedsim SFM software, and the workflow needed to develop and test depositional and stratigraphic understanding at a variety of scales. The treatment of theory will be limited and there is a strong emphasis on using SFM programs in real-world settings such that their capabilities and limitations are well understood. A range of practical applications from flume tank to continental scales will be discussed.  Copies of the latest trial version of Sedsim and documentation will be provided beforehand together with exercises and test data sets.  Participants will be expected to have their own lap-top computer and pre-load the Trial-Sedsim software and Exercises.

Date: Friday 8 September 2017
Time: 9:00am – 6:00pm
Venue: The University of Notre Dame, 32 Mouat Street, Fremantle, WA 6959
Room: ND16/108
Cost: A$130
Registration:  Click here to register 

Course Instructor: Dr. Cedric M. Griffiths

Cedric GriffithsCedric Griffiths is Director of StrataMod and Adjunct Professor at Curtin University. He has held positions as Nordic Council Research Professor in Petrophysics at NTNU, Trondheim, and the South Australian Chair of Petroleum Geology at the University of Adelaide. He has worked for BP Research and Sintef, in Norway, and CSIRO in Australia on various aspects of quantitative stratigraphic modelling. Cedric holds a PhD from Newcastle University in the UK, is an Associate Editor of Terra Nova, and over the past 30 years has published numerous peer‐reviewed papers in the fields of quantitative stratigraphy, stratigraphic forward modelling, petroleum geology, coastal process modelling and petrophysics.

 

Course outline:  

Morning Session:   Introduction to Stratigraphic Forward Modelling: Historical review, current status, trend and future: Sedsim (algorithm, parameters, problem identification and specification):  Use of Trial-Sedsim and discussion of the input files. Simple worked class exercise. 

Afternoon Session: Carbonate and organic exercises: Digital flume tank exercises: Basin Scale Exercise: Constraint and Verification: Summary.

 

Short course 11: Young Scientists’ Course

The main aim of the Young Scientists’ Course is to promote scientific studies and research projects in most fields of geoscience among the young professionals. It is imperative that the postgraduate students pursuing their careers in geoscience disciplines develop the self-confidence and interpersonal skills so that they can establish successful institutional collaborations and develop efficient teaching strategies at the tertiary institutions during their professional career. In the first part of the Young Scientists’ Course, there will be workshops and talks given by professionals on the importance of interpersonal skill development. The session in the Young Scientists’ Course aims at raising the awareness in relation to the importance of the diversity and gender balance in geoscience disciplines. The panellists, who work in the Australian mining industry, will answer the questions raised by the participating young professionals. In the last part of the Young Scientists’ Course, a workshop on programming for geoscience research will be organised. In this workshop, first session will be the introduction to a programming language where the MATLAB will be used to analyse a geospatial data set. At the end of the Young Scientists’ Course, the participants will be given a Certificate of Attendance.

Date: Sunday 3 September 2017
Time: 9:00am – 6.00pm
Venue: Carnac Room, Esplanade Hotel by Rydges, Fremantle 
Cost: Free
Registration:  Click here to register 

From

To

Activity

9:00 am

9:15 am

Welcome (A/Prof Wenlei Wang – Vice President of YES Network)

Panel for Interpersonal Skill Development

9:15 am

10:00 am

How to Communicate to Influence.
The Power of Public Speaking and Storytelling to Stand Out in the noisy world!
Speaker: Lisa Evans (Speaking Savvy – www.speakingsavvy.com.au)
In this session you will discover:  
1.  How to go from nervous to nailing it. Building your confidence.
2.  How to tailor your message for the audience – avoid the cookie cutter approach.
3.  How to craft a message that is “sticky” so that your audience remembers it
4.  The power of storytelling and how you can use personal stories in the business setting to influence people to take action

10:00 am

10:45 am

Your Mind-Set Matters
Speaker: Jacqui Alder (Jacqui Alder Consulting – www.jacquialder.com.au)
In this session you will gain knowledge about:  
1.   How to network authentically
2.   Understanding the hiring organisation, their processes and their perspectives

10:45 am

11:30 am

Clear, Concise and Consistent – Your Career Documentation = Employability
Speaker: Dani Tamati (The Resources Hub – www.therh.com.au)
In this session you will discover:
1.  CV’s – what to have and what to have not in your CV and how to make it parse through ATS’s
2.  Cover Letters – do you need them and what to write in them!
3.  LinkedIn and Social Media Platforms – how do and can they benefit you for employment opportunities

11:30 am

12:00 pm

Questions and answers – All panellists will answer the questions asked by the young professionals

12:00 pm

1:00 pm

Lunch

Panel for Increasing Diversity in Geoscience Fields

1:00 pm

2:00 pm

Strategies and Best Practices for Gender Diversity
Speakers: Fiona Bodycoat (Superintendent Geomodelling Team – BHP Billiton, Victoria Hough (Senior Exploration Planning Geologist – BHP Billiton)
In this session you will discover:
1.  The importance of gender diversity in geoscience
2.  Recent gender diversity initiative by BHP Billiton

2:00 pm

3:00 pm

Working in Mining as a Woman – Transition from Academia to the Geoscience Industry
Speakers: Ivy Chen (Principal Consultant at CSA Global) and Rahi Varsani (Geophysicist at DownUnder GeoSolutions)
1.  The attitude that you approach a career in mining with matters 
2.  Take full advantage of the difference that you bring
3.  Keep sight of your safety – physical, mental and career-wise 
4.  Make a plan, and plan for it to change
5.  Recognise the good people, value them, become like them in your own way 
6.  It takes just a little bit longer to make impossible happen 
7.  Never forget that it has to be fun and worth doing 

3:00 pm

3:10 pm

Questions and answers – All panellists will answer the questions asked by the young professionals

3:10 pm

3:30 pm

Afternoon Tea 

Practising a Programming Language

3:30 pm

6:00 pm

Geospatial Data Analytics with MATLAB
Instructor: Mandar Gujrathi

In this workshop, you will gain hands-on experience on how MATLAB can be used to analyse and visualise geospatial data. You will learn approaches and techniques available in MATLAB to tackle challenges such as:
1.  Accessing, exploring, and analysing geospatial data stored in files, the web, and data warehouses
2.  Tips for cleaning, visualising, and combining complex multivariate data sets
3.  Building interactive maps of geospatial events.
4.  Handling big geospatial data.
5.  Techniques to create interactive applications            

Lisa Evans
Speaking Savvy – www.speakingsavvy.com.au

Session Outline and Bio IAMG2017 3 Sept

Lisa Evans, MBA is an award winning international speaker and a Certified World Class Speaker and Storytelling Coach.
Having spent over two decades working as a midwife, a catastrophic event led to Lisa leaving her career and rediscovering her purpose. Through years of rehabilitation as well as learning the art and science of public speaking, Lisa has undergone a personal transformation and now empowers others to do the same through speaking and storytelling. A self proclaimed introvert who has learned to shine on stage, Lisa helps executives and leaders use their voice as a powerful tool to share messages that create change and inspire others to take action.

Jacqui Alder 
Jacqui Alder Consulting – www.jacquialder.com.au

Bio Jacqui Alder - Photo 03082017

Jacqui Alder is an internationally experienced human resources executive, consultant, and executive coach, with over 20 years in complex, global businesses. She has worked in Australia, Europe, and Asia across multiple industry sectors including Resources, Transport, Defence, and Oilfield Services. Jacqui’s qualifications include a Master of Commerce (majoring in Human Resources Management), plus accreditations in Change Management, Executive Coaching, and Project Management. She is also a graduate of the Australian Institute of Company Directors. As director of her own human resources consultancy for the past 15 years, Jacqui has delivered complex change in organisations, and built HR capability for global businesses undertaking major capital and strategic projects.

Dani Tamati (MRCSA) (MCDAA) – dip HR │dip OHS 
Resource Industry Recruitment, Careers, Behaviours and Talent Strategist, Outplacement Consultant, HR Manager, OHS Advisor, Mentor, Managing Director/Principal, Mum of 4, FIFO Wife

ShaBo-STUDIO_Dani Tamati

As a high profile Recruitment, Career Development, Human Resources and OHS professional, Dani’s passion is people as well as employment opportunities in the mining and resources sectors.

Dani has remained involved with, been employed by, and lived remotely in this thriving Industry for the past 23 years, in roles such as Regional Manager – Mining and Resources, Group HR and Recruitment Manager, Area Manager as well as Branch Manager and Recruitment Consultant for several companies, predominately based in the Pilbara of Western Australia.

Throughout Dani’s career she has worked on Iron Ore and Gold mine sites both in a FIFO capacity and residential in the Pilbara for 14 years, in a variety of different administration based roles across – production, processing, maintenance, maintenance planning, drill and blast, mine planning, training, supply / warehouse, emergency management, fleet management, engineering, fixed plant, human resources and accounting and finance departments. These roles have given her a true understanding of onsite employment, and the skills and qualifications necessary for such positions. Since relocating from the Pilbara in late December 2010, Dani now resides in the beautiful Perth hills with her husband Riki (a FIFO worker) and her four children Jake (17), Taine (15), Sienna (12) and Kale (10).

Fiona Bodycoat
Superintendent Geomodelling Team – BHP Billiton

fipona

Fiona has worked in several roles at various levels across the geoscience field for nearly two decades, ranging from open-cut gold mine geology to fatality risk management. More recently she has been leading the geological modelling team at BHP Iron Ore. Her background is in geology and chemistry (BscHons1, University of Western Australia) and she has completed Cert. Business Administration. Fiona’s experience includes structural geology in open cut and underground operations for gold and base metals, regional gold exploration across Western Australia as well as exploration and resource estimation in iron ore. She has a passion for resource uncertainty and loves interacting with people. She is currently working on a flexible basis with BHP’s Minerals Australia – Planning and Technical Team.

Victoria Hough
Senior Exploration Planning Geologist – BHP Billiton

Vic

Vicky is a Senior Exploration Planning Geologist for BHP and has been with the company for 6 years.  Her passion for the resources industry began with a student placement in 2005 at the Anglo Platinum Mineralogical Research Lab in South Africa during her studies at Leeds University, UK, where she graduated with a 1st class honours degree in Geological Sciences.  From there she has held a variety of roles, including regional and brownfields exploration and underground and open-cut mine geology across a range of commodity types.  In 2010 she was awarded a PhD from Imperial College London.

Growing up in East London, studying and working in the UK, USA, Africa, Chile and Australia, and having a  diverse friendship base has meant Vicky has developed a great respect for the value of diverse thinking and differing opinions in the workplace and society in general.  Her passion for Inclusion & Diversity (I&D) is driven by a fundamental belief that everyone has the right to be comfortable with who they are and that who they are should never limit their opportunities.  Currently Vicky leads the I&D strategy for the BHP Planning & Technical Function.

Ivy Chen 
Principal Consultant CSA Global Mining Industry Consultants, Principal & Director GeoReg Mining and Compliance, B App Sc Geology, PGDip(Nat Res), MAusIMM, GAICD

Headshot_3

Ivy is a corporate governance specialist, with 30 years’ experience in mining and resource estimation.  She is a member of the VALMIN Committee, and has passed the Australian Institute of Company Directors course and examination. 

Ivy served as the national geology and mining adviser for the Australian Securities and Investments Commission (ASIC) from 2009-2015.  Her primary role at ASIC was to supervise the reviews of risk disclosure in public statements by mineral and energy companies, particularly Australian Stock Exchange (ASX) listed companies, and reviewing transactional documents for new company floats, mergers, takeovers and schemes of arrangements.  She was heavily involved in the ASIC supervision of the ASX Chapter 5 Listing Rules update for mining and oil & gas reporting as well the JORC 2012 review. Ivy was awarded an Australian public service Australia Day medallion in 2013 in recognition of this service.  

She was also heavily involved in the ASIC review of the Australian Pacific Stock Exchange (APX, now known as the Sydney Stock Exchange) listing rules for mining and oil & gas reporting. 

Ivy’s experience in the mining industry in Australia and China, as an operations and consulting geologist includes open pit and underground mines for gold, manganese and chromite, and as a consulting geologist she has conducted mineral project evaluation, strategy development and implementation, through to senior corporate management roles. 

Rahi Varsani
Geophysicist at DownUnder GeoSolutions

2016-02 DUG Staff - Rahi Varsani

While completing my PhD, I often wondered what else there is out there besides finding a postdoc that would allow me to use the skills I spent many years acquiring. Having studied nanotechnology and physics, I am currently a seismic processing geophysicist, and find the work both fulfilling and interesting. In this talk, I’ll share how my approach to searching for jobs changed, some experiences and tips I’ve learned along the way, and things I wish I knew when I started my doctorate.

Mandar Gujrathi 

Mandar_Gujrathi

Mandar Gujrathi is an Applications Engineer with MathWorks in Data Science, Signal Processing, and Digital Communications. He has over 12 years of experience working with MATLAB. In 2004 he was a Research Scholar on a project related to optical coherence tomography. His doctoral research focused on addressing the crosstalk problem in Digital Subscriber Lines and wireless communications. Following his Ph.D., he was a Lecturer at the University of Queensland until 2012. His interests include machine learning, next-generation communications, and image processing. He has a B.E. (Electronics) from the University of Mumbai, India and M.E. and Ph.D. in Electrical Engineering from the University of Queensland, Australia.