Skip to main content

Digital Rock Analysis

Digital Rock Analysis

Wednesday, 11 May 2022

Online

1.00-2.00pm AEST

Presentation and Q&A

Hear from Ryan Armstrong, Associate Professor, UNSW for our complimentary webinar on the benefits of digital rock technology and improving resource extraction and characterisation.

Overview

Digital Rock Technology has been considered as a disruptive technology for the oil and gas industry, with a similar potential for the mining sector. The first generation of Digital Rock Technology was adopted by key oil and gas players, including BHP, BP, Chevron, ConocoPhillips, Equinor, Exxon, Maersk, Petrobras, Petronas, Shell, Saudi Aramco, and Total. Rocks can be designed, transformed, and optimized using digital rock images with associated numerical modelling and deep learning applications. In turn, this allows for improved resource extraction, characterisation, and thus has the potential to revolutionise industries. By coupling high throughput characterisation, experiments and predictive modelling, vast multiscale materials datasets can be generated, analysed, and shared in a data-centric environment enabling the objective design of new and improved extraction and storage processes. Examples from the oil and gas industry will be covered with a focus on the potential for the mining industry with the latest developments in RQD analysis, fracture characterisation, and mineral liberation analysis. 

Register to access the free recording on Digital Rock Analysis

Presenter

Ryan Armstrong

Associate Professor, UNSW
Ryan's research is multidisciplinary with aspects of applied mathematics, petroleum engineering, computer science, and fundamental physics. His research integrates these disciplines into a comprehensive framework for digital materials characterisation, porous media imaging and modelling, and multiphase flow studies related to future energy technologies.

Applications include digital rock physics, in situ recovery of minerals, geological storage of hydrogen, recovery of transition fuels, geological storage of CO2, mineral liberation analyses, and machine learning in resources engineering.

Other topics in the Series

Details will be announced soon.

Digitalisation and Integrated Visualisation

Webinar
Thursday, 9 June

Future of Rock Mechanics

Panel discussion

Future leaders

Details coming soon

Our site uses cookies

We use these to improve your browser experience. By continuing to use the website you agree to the use of cookies.