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ASEG VIC Technical Meeting Night: Advances in the geoscientific application of computer vision

Wednesday, June 16, 2021

ASEG Victoria is pleased to announce the first of our winter series of in-person branch events with another superb technical meeting night.  You are cordially invited to join us for a talk by Mr. Mark Grujic (Director, Solve Geosolutions) on Wednesday June 16th from 6pm at The Kelvin Club.  Admission to this event is free for members so please ensure you have renewed your membership for 2021 before registering.

Advances in the geoscientific application of computer vision


One of the most common datasets available to exploration geoscientists is drill core imagery. Unfortunately, the huge range in quality and general state of core photography can be an impediment to many data-driven image analysis processes. In this talk, methods of dealing with some of the shortcomings of core photo data will be introduced.  Some such methods include the application of Self-Supervised-Learning to obtain models that are agnostic to lighting conditions, blur, resolution and other unwanted artefacts, as well as digital inpainting of geological information in photos that have been masked by core-markup or other obfuscations.  The validity of these processes to gain new insights from geophysical datasets including potential field geophysics data will be discussed.


Bio: Mark graduated from Monash university with a Bachelor of Science with Honours in geophysics. He spent 8 years with Rio Tinto Exploration in Perth and Santiago, initially working on geophysical hardware and processing algorithms, then supporting global exploration programs.  Since 2018, he has worked Solve Geosolutions, Australia’s first dedicated geo-data-science consulting group. In 2019, Solve launched Datarock, a mining and exploration focused computer-vision company, where Mark provides technical insight and product development support.


Note: Light refreshments will be served during the evening.


Please register your interest in attending this event by using the following link:


Managing Through (constant) Change And Uncertainty - The Key Dilemmas Facing Resources Industry Personnel

Tuesday, June 8, 2021

Title: Managing Through (constant) Change And Uncertainty -  The Key Dilemmas Facing Resources Industry Personnel

Presenter: Michelle Henderson

Date: Tuesday  8th June

Time: 16:00 AEST  

Location: Joint Zoom virtual + physical presentation at Geoscience Australia



The cyclical nature of the resources industry creates very specific challenges across investment through to people management.  Faced with constant ‘instability’, often supply-limited expertise and the uncertainty over discovery, how do we hold on to our people, maintain their enthusiasm and continue to lead success?

As a professional coach across government and scientific agencies, Michelle brings extensive experience to the ‘problem’ and solution.  Her empathetic and pragmatic approach empowers professionals to not only manage change, but to enthusiastically grasp the opportunities it brings. 


Michelle Henderson is a professional consultant and coach. She has been consulting to government and scientific agencies for the last six years. Her specialties include executive leadership, change and working with governments.

As a consultant Michelle combines her passion for leadership and innovation. She works with senior leaders to help them manage their teams, and themselves, in constantly changing environments. Her empathetic and pragmatic approach empowers professionals to not only manage change, but to actively seek opportunities to make positive change happen.

Prior to consulting, Michelle worked for 23 years at executive and senior executive levels in the areas of industry, innovation and science policy. Michelle has a deep understanding of Australia’s innovation system and the important role science discovery, research and commercialisation play in knowledge and wealth creation for Australia.

Michelle has postgraduate qualifications in Management (industry strategy) and vocational qualifications in training and development.  She is a level 1 accredited coach.

ASEG NSW - The influence of dynamic topography, climate, and tectonics on the Nile River source-to-sink system

Wednesday, May 19, 2021
1730 for 1800 start

The next technical meeting will be held on Wednesday 19th May, we will also be livestreaming it on zoom only (the presentation will not be available for viewing later). Please see details below:


Presenter:          Chris Alfonso (USYD)

Topic:                  The influence of dynamic topography, climate, and tectonics on the Nile River source-to-sink system

Time:                   5:30 for 6pm start

Address:             Level 2, Club York (99 York St, Sydney. Room 'York 2')


Zoom registration:

Meeting registration: by Monday 17th May – due to COVID restrictions we require a registration for in-person meetings. If you have trouble registering please email 



Understanding the more than 30 Myr history of the Nile River can provide great insight into the evolution of one of the world's largest river systems and the major hydrocarbon reserves of the Nile Delta. This work builds on previous studies which explored the relationship between the river's course and the dynamic topography of Northeast Africa by considering additional possible influences on the Nile's evolution such as climate change and tectonics. These factors are incorporated into a numerical landscape evolution and stratigraphic modelling framework which makes use of the Badlands software package ( to test the effects of multiple different scenarios for each factor. The analysis of model results involves one of the first applications of the techniques of sequence stratigraphy to a realistic numerical model. These results show that while dynamic topography, along with climate change, likely played a significant role in the Nile's history, tectonic events – including the formation of the Red Sea Hills and uplift and volcanism of the Ethiopian Plateau – appear to have had the strongest influence on the river's evolution.


Light refreshments will be available as usual, hope to see you there.

Time series clustering and class-based machine learning in predicting elastic properties of rocks: why, how, what, and so what

Thursday, May 27, 2021
1200 AWST
1300 AWST

Time series clustering and class-based machine learning in predicting elastic properties of rocks: why, how, what, and so what

Shuvajit Bhattacharya, Ph.D., Bureau of Economic Geology, UT Austin

Multivariate time series clustering and class-based machine learning (ML) are relatively new concepts in geosciences; they have an immense potential to improve our models and provide more geologic insights than traditional baseline ML models. Seismic and wireline logs are a form of time series or depth series that share interdependence or conditional dependence with each other, depending on the rock type. Moreover, seismic and log data are highly redundant from an ML modeling perspective. We often do not consider these fundamental features of our datasets in ML models. This results in reduced explainability and troubleshooting of ML models and our models' failure when the boundary conditions change slightly. This talk will discuss the promises and challenges of semi-supervised time series clustering and class-based ML to solve these challenges. I will show an example of accurately and consistently predicting elastic properties of mudrocks using these concepts.

Biography: Dr. Bhattacharya is a researcher at the Bureau of Economic Geology, UT Austin. He is an applied geophysicist/petrophysicist by background. Prior to joining BEG, he worked with the University of Alaska Anchorage, Battelle, and other organizations in different roles, such as an assistant professor and petroleum geoscientist. He completed multiple projects for fossil fuel and geothermal energy exploration and carbon sequestration in the US, Australia, South Africa, and India. He has published over 50 technical articles in different journals and conferences.

To register, use this link:

The Future of Cloud-based Spatial Geoscience Data and its Application in Exploration

Tuesday, May 25, 2021

ASEG Victoria is pleased to announce the second of our autumn series of in-person branch events with another technical meeting night.  You are cordially invited to join us for a talk by Dr. Fabian Kohlmann (Managing Director, Lithodat Pty Ltd) on Tuesday May 25th from 6pm at The Kelvin Club.  Admission to this event is free for members only, so please ensure you have renewed your membership for 2021 before registering.



The Future of Cloud-based Spatial Geoscience Data and its Application in Exploration


Well managed, standardized data is vital for the resource industry as it currently undergoes an intense digitalization phase. As most available geoscientific datasets are usually bound by regional extends and have their own attributes and requirements, it is often challenging to merge all data into a consistent global framework which can then be used across boundaries without limits. Lithodat’s vision is to provide geoscientists with global geoscientific databases and built-in analytics to gain fast new insights about regions of interest. To achieve that goal, a team of experts extract, validate and integrate data in our unique cloud-hosted relational database.


Rather than storing data from many different projects in separate spreadsheets and folders, Lithodat’s consolidation of data opens the full potential that spatial geoscience data has to offer. Using the right tools means that spatial relationships can be analyzed on the fly, helping to solve scientific questions and industrial demands alike. For that purpose, we have developed LithoSurfer, our online platform for data viewing, analytics and extraction. LithoSurfer gives quick access to regions of interest or dive into the wealth of additional information (analytical details, lab information, literature etc.) for each datapoint. All data can be extracted in multiple formats ensuring that new techniques such as machine learning (ML) and artificial intelligence (AI) can take full advantage of Lithodat's databases.


In this talk we demonstrate the data acquisition process starting in the field using our fully integrated LithoSurfer FieldApp, the range of data types captured, and tools developed to rapidly display spatial data information on LithoSurfer. The discussion also includes examples of the potential integration of new datasets within exploration workflows, and the development of new fully-integrated tools, such as on-the-fly paleogeographic reconstructions which lead to an improved understanding of tectonic events and changes in paleo-topography through time


Bio: After three years of Equinor sponsored post-doctoral work at Bergen University, Norway, Fabian joined Neftex Petroleum Consultants in 2013 to develop global paleo-digital elevation models and build a global thermochronology database for integration into plate modeling, basin modelling and gross depositional environment mapping workflows. After Neftex became part of Halliburton, he was put in charge of the thermochronology team and became part of Halliburton’s global Source-to-Sink project. Fabian left Halliburton in 2018 to join Lithodat Pty. Ltd., a new cloud-hosted geoscience data company based in Melbourne. Fabian holds a PhD degree in Earth Sciences from the University of Melbourne and a MSc degree in Geology and Paleontology from the Ludwig-Maximillian University in Munich, Germany.


Note: Light refreshments will be served during the evening.


Please register your interest in attending this event by using the following link:

Latin Geophysics Explore

Tuesday, July 27, 2021


The initial geophysics conference “Looking into Our World”, provided us with a platform to develop and learn from. As such, this year’s event will come under the banner of “Latin Geophysics Explore 2021” which better reflects nature of the conference since the science is not dictated by political boundaries but by geoscientific ones.

Building on from last year we wish to grow the event to include a half day training course to complement the speaker program maintaining a similar structure to last year.

A programme can be accessed here.

ASEG WA tech night: Basin-wide and multi-scenario modeling of rock property and AVO feasibility volumes

Tuesday, May 18, 2021
1600 AWST
1700 AWST

Title: Basin-wide and multi-scenario modeling of rock property and AVO feasibility volumes

Presenter: Dr. Per Avseth

Please see the Zoom link for the 18th May webinar:


One of the key tasks within the field of geoscience is to obtain a better understanding of the subsurface rock properties using remote sensing techniques (e.g., seismic and CSEM) and/or selected modelling tools. In mature areas with many wells and good quality seismic data, a data-driven approach can be used to predict rock properties between wells. In areas with limited well control and/or complex geology, we still rely on models to understand expected changes in rock properties between/away from wells, even though the seismic data is of good quality. Integration of geology and geophysics is a key to optimally select, constrain, and calibrate rock physics models. Lack of well log data can make it challenging to quantify uncertainties, but a scenario-based modeling with alternative geological scenarios and sensitivity testing of key input parameters can help us to better understand and possibly reduce the uncertainties away from well control.  In this presentation, I will demonstrate how a scenario-based feasibility modelling of rock physics properties, constrained by local geological inputs (mineralogy, facies, temperature, burial history, etc.) can give valuable information, that can be utilized before new seismic data are acquired (e.g., to decide whether certain types of data like AVO will be beneficial or not), or they can be used to guide the quantitative seismic interpretation of existing seismic data. 


Per Avseth is a geophysical advisor and CTO of Dig Science in Oslo, Norway, and a part-time researcher at the Dept. of Electronic Systems at the Norwegian University of Science and Technology (NTNU) in Trondheim.  Per received his M.Sc. in Applied Petroleum Geosciences from NTNU in 1994, and his Ph.D. in Geophysics from Stanford University, California, in 2000. Per worked as a research geophysicist at Norsk Hydro in Bergen, Norway (2001-2006), a consultant at Rock Physics Technology (2006-2008) and Odin Petroleum (2008-2012) in Bergen, and as a geophysical advisor at Tullow Oil in Oslo (2012-2016). He held a position as an adjunct professor in reservoir geophysics at the Dept. of Petroleum and Geoscience at NTNU from 2008-2020. Per was the SEG Honorary Lecturer for Europe in 2009. He is a co-author of the book Quantitative Seismic Interpretation (Cambridge University Press, 2005), and has published extensively in the fields of rock physics and AVO analysis. His current research focuses on basin-scale rock physics and integration of basin modeling, sedimentology and rock physics.


ASEG Queensland Branch AGM & April Technical Talk

Tuesday, April 27, 2021

The AGM of the ASEG Queensland Branch will be held on Tuesday 27 April at the XXXX Brewery in Milton from 1715.

QLD ASEG members interested in joining the branch committee should email before Friday 23 April.

Nominations are open for President, Secretary, Treasurer, Communications Representative and general committee.

For the technical talk, we’re pleased to welcome Peter Fullagar back to Brisbane. Peter will present the first of a two part talk on fast TEM inversion using conductive ellipsoids. More details on the talk can be found at the Eventbrite registration link.


Peter Fullagar - Fullagar Geophysics Pty Ltd

Beyond plates – fast TEM inversion using conductive ellipsoids

Part 1: Forward modelling


Interpreting TEM data in terms of conductive rectangular plates is effective in many situations. However, not all conductors are planar. Triaxial ellipsoid conductors are an attractive alternative: geometrically simple (corner-free), mathematically tractable at early and late time limits, and able to encompass shapes ranging from plates to elongate lenses to equi-dimensional pods. Accordingly a fast magnetostatics-based algorithm has been developed to compute ellipsoidal conductor responses in both resistive and inductive limits. Inversion of measured data then entails adjustment of ellipsoid parameters. The methodology is suitable for downhole, ground, or airborne TEM, either impulse or step response.


The event is free for members and $15 for non-members who are welcome to join prior to the meeting. Please register through Eventbrite here.


In this first of two presentations, the forward modelling algorithm is described and illustrated. 

Shallow mantle convection beneath West Africa and source to sink at continental margins: A novel approach to reservoir prediction in offshore deep-water settings

Wednesday, April 21, 2021
1730 AEST
1900 AEST

Title: Shallow mantle convection beneath West Africa and source to sink at continental margins: A novel approach to reservoir prediction in offshore deep-water settings

Presenter: Dr Bhavik Harish Lodhia (UNSW)


Deep-water settings are prevalent in many of the world’s frontier basins. To better focus exploration spend in today’s challenging environment and predict reservoirs, a novel approach to close the loop between onshore denudation and offshore sediment deposition is required. Sedimentary flux measurements, regional subsidence patterns, tomographic models and simple isostatic calculations are combined to constrain the history of offshore solid sedimentary flux and sub-plate support of the Mauritanian Basin. We combine seismic reflection and well data along the West African margin with shear wave tomography and the uplift and magmatic history of the Cape Verde Rise to constrain thermal, spatial and temporal scales of upper mantle convection. Predictions of solid sedimentary flux to the Mauritanian Basin calculated by inversion of continental drainage are compared to observations in the Chinguetti field of the Mauritanian Basin.

Bio: Bhavik moved to Australia from the United Kingdom earlier this year and is currently a Postdoctoral Fellow in Energy Technology and Geophysics at UNSW. Bhavik graduated with a PhD in Geology and Geophysics at Imperial College London in 2019 and completed a masters/bachelors degree in Earth Sciences at St. Anne's College, University of Oxford in 2014. His work has focused on basin dynamics, geodynamics, sediment source to sink and petroleum systems modelling.


Attend in-person

Time:                    5:30 for 6pm start

Address:              Level 2, Club York (99 York St, Sydney. Room 'York 2')

Meeting registration: by Sunday 18th April - due to COVID restrictions we require a registration for in-person meetings. If you have trouble registering please email 

Learning to learn about the earth, using Bayesian inference

Tuesday, April 13, 2021
1215 ACST
1315 ACST

Title: Learning to learn about the earth, using Bayesian inference

Presenter: Anandaroop Ray (Geoscience Australia)

Abstract: To understand earth processes, geoscientists infer subsurface earth properties such as electromagnetic resistivity or seismic velocity from surface observations such as magnetotelluric data or seismograms. These properties are used to populate an earth model vector, and the spatial variation of properties sheds light on the underlying earth structure and phenomena, from groundwater aquifers to plate tectonics. I will show that in order to make accurate inferences about earth properties, inferences can first be made about the underlying length scales of these properties. From a mathematical point of view, the length scales can be conveniently thought of as “properties” of earth properties. This can be treated in an “infer to infer” paradigm analogous to the “learning to learn” paradigm which is now commonplace in the machine learning literature. A non-stationary trans-dimensional Gaussian Process (TDGP) is used to parameterise earth properties, and a multi-channel stationary TDGP is used to parameterise the length scales. Using non-stationary kernels, i.e., kernels with spatially variable length scales, earth models with sharp discontinuities can also be represented within this framework. As GPs are multi-dimensional interpolators, the same theory and computer code can be used to solve geophysical problems in 1D, 2D and 3D. This is demonstrated through a combination of 1D and 2D non-linear regression examples and a controlled source electromagnetic field example.

Biography: Anandaroop Ray (“Anand”) started his career as a non-seismic geophysicist with Shell Exploration and Production in 2007. In 2010 he joined the PhD programme in marine electromagnetics at the Scripps Institution of Oceanography in San Diego, California. In 2014 he completed his thesis focusing on uncertainty estimation in electromagnetic inversion for marine hydrocarbon exploration. From 2012-19, he worked for Chevron R&D on various problems – controlled source electromagnetics (CSEM), seismic full waveform inversion (FWI), reservoir properties from seismic (RPFS), airborne electromagnetics (AEM), statistical hydrocarbon exploration lookback analyses, and the role of machine learning in geophysics. The question most asked through his work is “how credibly can we interpret our inversion model(s),” the answering of which often requires the use of high-performance computing (HPC) techniques. He currently co-advises a PhD student at Columbia University on Bayesian geophysical inversion and has been active in convening and organizing the Uncertainty in Geophysical Inversion session at the American Geophysical Union’s Fall Meeting. In March 2019 he joined the Minerals, Energy and Groundwater Division at Geoscience Australia, where he continues to work on inverse uncertainty, model representation and geostatistics.