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EAGE 4th Asia Pacific meeting on Near Surface Geoscience & Engineering

Tuesday, November 30, 2021

EAGE is proud to announce that the4th Asia Pacific Meeting on Near Surface Geoscience& Engineering is scheduled to take place in Ho Chi Minh City from 30 November –2 December 2021.

This meeting aims to strengthen the ties between geoscientists and engineers, academia and industry, the young and experienced in the near surface geoscience domain. Areas that the conference typically covers are geotechnical investigations (infrastructure), geohazards and disaster mitigation, hydrogeophysics & hydrogeology, climate, contamination survey, etc. The conference programme will focuson issues relevant to Vietnamand the Asia Pacificregion and attended by industry professionalsglobally.

The 14th SEGJ International Symposium

Monday, October 18, 2021

The Society of Exploration Geophysicists of Japan (SEGJ) is planning its fourteenth International Symposium on 18-21 October, 2021 online.  The theme of the symposium is "Road ahead for geophysics in digital society: Acquisition, processing, and interpretation".


Inaugurated in 1990, the SEGJ International Symposium has been held every two to three years, and has established as one of the most popular and exciting conferences in applied geophysics in the eastern hemisphere.


Further details may be found on the Symposium's home page.

ASEG NT - Interpreting high-resolution aeromagnetic data to aid mapping undercover and structural analysis of the Tanami Region and northwest Aileron Province

Tuesday, March 23, 2021

We have a new webinar on Wednesday 23 March, 4pm AEDT NT is bringing you a talk by Teagan Blaikie and Helen McFarlane of CSIRO on Interpreting high-resolution aeromagnetic data to aid mapping undercover and structural analysis of the Tanami Region and northwest Aileron Province.

Register now:

ASEG NSW - From Tenterfield to Mars: Magnetic Modelling with Terrain

Wednesday, February 17, 2021

Clive Foss and Jim Austin at CSIRO Mineral Resources on From Tenterfield to Mars: Magnetic Modelling with Terrain.

  Register now:

ASEG WA February 2021- Student Tech Night

Tuesday, February 23, 2021

ASEG WA February 2021- Student Tech Night

Venue: The Shoe Bar
Tuesday 23  February 2021
5:30 pm start, 6-7 pm presentation
The Shoe Bar
Shop GSO7 Yagan Square
376 - 420 Wellington St
Perth CBD

The WA Branch of the Australian Society of Exploration Geophysicists is excited to invite you to our first face-to-face live ASEG WA Tech Night in 2021. We are trying out a new venue in CBD at Yagan Square, but still with the usual snacks and drinks provided. Note that there is plenty of public transportation, and, if need-be, paid parking is available at nearby Wilson Parking - 427 Murray St - Google Maps. - Also, for those of you who missed 2021's AGM bash and its handouts, your 50th Anniversary baseball caps will be available to take back home with you. And, once again, we'd like to thank our sponsors for their continued support for 2021 and the future.

For this meeting, we are hosting our upcoming Student Tech Night presented by local WA Honours, Masters or PhD Students from UWA and Curtin.
       Four students will give short presentations on their recent work in the field of geophysics at this annual student night. Attendees will be asked to vote on the best presentation, and one student will be awarded a prize courtesy of the WA branch.


1) Partha Pratim Mandal
Title: Geomechanical characterization of unconventional gas shale - Example from Goldwyer shale formation
Bio: Partha Pratim Mandal is a PhD student at Western Australia School of Mines, Curtin University and currently works on geomechanical characterization of unconventional gas shale in the onshore Canning Basin. His research work focuses on in experimental design and assessment of geomechanical properties under in-situ condition, viscoelastic creep response, ultrasonic recording, computation of elastic anisotropy, geomechanical modelling (1D and 3D) and hydraulic fracturing of unconventional gas shale. He is recipient of several student awards from PESA, AAPG and AIG.
2) John Shepherd
Title: Quantitative 3D seismic stratigraphy of the Bight Basin, southern Australian margin: Preliminary findings
Bio: John Shepherd is currently undertaking a petroleum-based PhD in quantitative seismic stratigraphy at the Centre for Energy Geoscience, UWA. His research focusses on investigating shelf-margin architecture and deep-water sand delivery in the Bight Basin. He is employed part-time as a geology tutor and swims competitively.
3) Sofya Popik
Title: P-Wave Anisotropy Estimation from 3D VSP Data Acquired with Geophones and DAS at Otway Site.
Bio: Sofya Popik is a PhD candidate in Exploration Geophysics at Curtin University, Australia. She completed her BSc and MSc degrees in Geophysics at Lomonosov Moscow State University, Russia. Sofya's PhD is in seismic monitoring. It focuses on integration of borehole and surface seismic monitoring techniques in CO2 geosequestration projects. This research project proposes to optimize acquisition of the monitor surveys using collaborative analysis of borehole seismic and surface seismic data. 
 4) Muhammad Atif Iqbal
Title: Petrophysical rock typing integrated with mechanical stratigraphy to identify producible and brittle layers in gas shale plays.
Bio: Mr. Muhammad Atif Iqbal is currently a PhD candidate in Western Australia School of Mines (WASM), Curtin University. His PhD research is focused on heterogeneity understanding through high-resolution multiscale (analytical and machine learning-based) rock typing to identify producible and brittle layers in gas shale plays. He has more than six years of industry and research experience as a Geoscientist with petroleum and mineral exploration companies. His expertise lies in core logging, formation evaluation, petrophysics and reservoir characterisation

Please rsvp in the link here to get a spot as seats are limited. We are looking forward to see you there.

Webinar - Geological Knowledge Discovery using Machine Augmented Intelligence.

Thursday, January 28, 2021
1300 AEDT
1400 AEDT

We have another exciting year of ASEG webinars kicking off next week with a new webinar on Thursday 28 January, 1pm AEDT by Professor Eun-Jung Holden from the University of Western Australia on Geological Knowledge Discovery using Machine Augmented Intelligence.

Geological interpretation is a complex task where an interpreter’s bias plays an important role. As a result, interpretation outcomes are variable and uncertain, but nevertheless, these outcomes form the basis of decisions with significant environmental, social and financial implications. With the increasing use of artificial intelligence and machine learning in our daily lives such as for information search, online shopping, and virtual assistant AI, the geoscience domain has also been active in the uptake of machine learning and AI to assist in interpreting geology from data.

This talk presents innovative machine-assisted technologies that improve the efficiency and the robustness of geological interpretation of different types of geodata used in the resource industry. A number of applications of machine learning were developed in collaboration with the mining industry for the analysis and integration of multi-modal drill hole data. These applications integrate the algorithms and workflows to assist human decisions. The approach is to provide end users the control of the algorithmic process as much as possible; and to enable a seamless integration of algorithms in the interpreter’s workflow using interactive visualisation. This talk also presents an on-going AI research that extracts geological insights from documents using machine reading of text. It applies advanced text mining methods and constructs a graph based knowledge base called a knowledge graph to store and access geological information. Case studies on different mineral deposits demonstrate the effectiveness of the methods for rapidly and robustly transforming text data into structured information that faithfully represents the contents of the source reports.


Professor Holden received her BSc, MSc and PhD in computer science from the University of Western Australia.  Her postgraduate and postdoctoral research focused on developing visualisation, automated image analysis and machine learning techniques for hand gesture recognition.  Then in 2006, she made a transition to geoscience and currently leads the Geodata Algorithms Team at UWA.  The team effectively spans the boundaries of computational science and geoscience and links academia and industry.  The team’s research resulted in the commercialisation of three software products, namely CET Grid Analysis and CET Porphyry Detection extensions for Oasis Monaj; and televiewer image analysis methods in the Image & Structure Interpretation workspace for ALT’s WellCAD.  These products had significant uptake by the resource industry globally.   Recently, their research also resulted in two industry driven patents on machine assisted drillhole data interpretation methods.  Professor Holden currently leads a major industry funded research engagement named the UWA-Rio Tinto Iron Ore Data Fusion Projects.  Her team won the UWA Vice Chancellor Award in Impact and Innovation in 2015 and she was a winner of the Women in Technology in WA (WiTWA) Tech [+] 20 Awards in 2019.


Register now:  

ASEG SA Xmas party & Tech night: Application of Machine Learning to domaining of potential field data and subsurface geology predictions

Thursday, December 17, 2020

We are delighted to invite you to this upcoming ASEG SA/NT event.

The year has been a bit quiet in terms of face-to-face events- but we are grateful we can round the year off with a Christmas party and a chance to catch up with colleagues and friends. We will also have a technical talk by Matthew Zengerer, Gondwana Geoscience, ‘Application of Machine Learning to domaining of potential field data and subsurface geology predictions.'


Registration is required- please register through Eventbrite

Tickets are limited- register now!



Date: Thursday 17th December, 5:30 pm for 6 pm talk

Where: Union Hotel, 70 Waymouth St, Adelaide, 5000

Cost: ASEG members and students: free, non-members $10 cash at door, includes drinks and nibbles


Members in the NT- we are endeavouring to set up a zoom link for you to join us virtually – we will get this to you shortly!


We would like to take this opportunity to thank our sponsors for 2020, Beach, Oz Minerals, Vintage Energy, Terrex Seismic, Heathgate and Minotaur Exploration.

WA Webinar CASE STUDY : Efficient exploration in the Bonaparte Basin Using Unstructured Data Analytics with ElasticDocs

Wednesday, December 16, 2020
1200 AWST
1300 AWST

Presenter: Ain Nadrah Noor Sazali, Iraya Energies

Title: CASE STUDY :  Efficient exploration in the Bonaparte Basin Using Unstructured Data Analytics with ElasticDocs


Mining and Oil and Gas companies are awash with data from many different disciplines, the amount of data is growing exponentially and is estimated to double every 12 to 18 months. The diversity of the available data is such that it is impossible for any single user to efficiently access this information and knowledge. In recent years, these industries have been turning to finding new ways of tackling this challenge, using Big Data and Machine Learning technologies. In Iraya, we have developed ElasticDocsTM,  an intuitive knowledge container, capable of automatically ingesting and structuring reports, images and presentation using machine learning.

We will present a case study covering the entire Bonaparte Basin for Play Based Exploration (here, for Oil and Gas potential).The technology will be used to address the five most common potential challenges during a geological study: (i) Discrepancies in formation tops, (ii) Limited understanding of lithology distribution, (iii) Limited mineral composition understanding, (iv) Fluid distribution, (v) Pressure/temperature patterns. We will demonstrate how such analysis can be conducted in ElasticDocs and how much time and resources are saved by the geoscientist mining these vast amounts of unstructured data such as reports (G&G, drilling, production), presentations (studies, analysis, summaries), images (cores, thin sections), spreadsheets and tables.


Ain Nadrah Noor Sazali is a Digital Earth Scientist in Iraya Energies. With her diverse background of domain expertise (geology, petrophysics) and  also in Data Science, she designs and deploys innovative machine learning and artificial intelligence solutions for unstructured data using ElasticDocs to support the geoscientists and engineers decision making. She holds a MSc in Petroleum Geology, a BSc in Industrial andComputational Mathematics, and a Diploma in Science Physics.


Webinar: Exploring for minerals, not anomalies: Developing quantitative interpretations of MT models. Dr Kate Selway, Macquarie University

Thursday, February 25, 2021
1300 AEDT
1400 AEDT

1pm AEDT February 16th,

Dr Kate Selway, Macquarie University.

Title: Exploring for minerals, not anomalies: Developing quantitative interpretations of MT models.

Abstract: Exploration geophysicists are well acquainted with making quantitative interpretations of near-surface geophysical data. There is a good understanding of how shallow anomalies in potential field, resistivity or EM datasets relate to mineralisation. However, as exploration models begin to include the lower crust and the lithospheric mantle, there remain significant gaps in our interpretation of deeper geophysical data. In this talk, I will highlight some new advances in our ability to produce quantitative interpretations of these deeper geophysical data, with a particular focus on MT and its joint interpretation with seismics. I will show the newly released software 'MATE', which allows MT models to be interpreted in terms of temperature and composition, and discuss new results from the Eastern Goldfields Superterrane of the Yilgarn Craton, which show how quantitatively interpreted MT models can feed into improved exploration strategies.

Bio: Dr Kate Selway is a geophysicist and researcher who specialises in the MT method and improving interpretations of mantle geophysics. She recently completed an ARC Future Fellowship based at Macquarie University and has previously held research positions at the University of Oslo, Lamont-Doherty Earth Observatory, Yale University and the University of Adelaide, after completing her PhD at the University of Adelaide in 2007. Her research has spanned giant mineral deposits in Australia, active rifting in East Africa, and mantle uplift in Greenland and Antarctica.

Webinar - Seismic imaging of the crust using Bayesian joint Inversion of teleseismic P-wave coda autocorrelation waveforms.

Tuesday, February 2, 2021
1230 AWST
1330 AWST

On Tuesday 2 February, 3:30pm AEDT FedEx is bringing you a talk by Dr Mehdi Tork Qashqai from the CSIRO on Seismic imaging of the crust using Bayesian joint Inversion of teleseismic P-wave coda autocorrelation waveforms.

Deep crustal-scale structures are critical for controlling and development of a wide range of mineral deposits. Incoming seismic waves generated from teleseismic earthquakes can be used to image the deep crustal structures. Traveltimes of the teleseismic P and mode-converted S-waves and their reverberations place a tight constraint on the Vp/Vs ratio, and their amplitude ratio provides tight bounds on the P and S wave velocity jumps across the main discontinuities/boundaries in the subsurface structure below a seismic receiver. Teleseismic P-to-S converted waveforms have been used for decades to estimate the shear-wave velocity of the subsurface and depths of major discontinuities below a seismic receiver through a method known as the P receiver functions. In this presentation, a new and alternative approach is presented. Waveforms associated with the P and all mode-converted shear waves are extracted by the autocorrelation of the teleseismic P-wave coda recorded on the radial and vertical component of a three-component receiver. Then, these waveforms are jointly inverted using a probabilistic joint inversion framework to simultaneously estimate seismic properties of the crust (Vp, Vs and Vp/Vs). This approach is particularly useful when there are no high-quality and reliable receiver function waveforms. This approach is cost-effective and can be used in conjunction with the inversion of receiver function, or the deep active seismic reflection profiling to obtain additional/complementary information on the subsurface structure, especially at middle and lower crustal depths where the deep seismic reflection method has penetration problem. In this presentation, I will show some synthetic and real data examples to confirm the feasibility of this imaging technique and also to encourage further application of this approach.



In November 2012, Mehdi joined the PhD program at Geodynamic and Geophysics group at Macquarie university in Sydney, Australia. His research focused on the development and implementation of a multi-parameter geophysical inverse modelling tool known as “LitMod”. In August 2016, Mehdi completed his PhD thesis entitled “Multi-observable Probabilistic Inversion for the Thermochemical Structure of the Lithosphere". Prior to his doctoral study, he was working in the oil and gas exploration industry for 6 years as a seismic processing and team leader geophysicist, delivering processing, imaging, and quantitative interpretation of seismic data. He joined the CSIRO Deep Earth Imaging Future Science Platform (DEI FSP) in July 2017 as a postdoctoral fellow. He is currently a research scientist at CSIRO DEI FSP and his main research in the “Geoscience Imaging” pillar of the DEI research is focused on the developing and application of new passive seismic imaging approaches to obtain better tomographic models of subsurface structure across multiple scales (e.g., from exploration-scale to lithospheric-scale). 


Register now: