This project aims to develop practical new methods of predicting and detecting the formation of solids in gas and liquefied natural gas (LNG) production. Australia has large offshore reserves of natural gas and has made the investments necessary to help fuel the global transition to cleaner, reliable energy sources. However, conventional engineering approaches of producing gas from deep-water reserves have reached the limits of viability because of the costs required to prevent solids forming in subsea pipelines or cryogenic LNG plants. The project’s expected outcome include sophisticated tools in open-access software based on these new predictive methods, and a step-change in Australia’s ability to access its offshore gas.
Australian Research Council (ARC) Industrial Transformation Research Program:
Winthrop Professor Mohammed Bennamoun, Associate Professor Ajmal Mian et al
ARC Research Hub for Driving Farming Productivity and Disease Prevention.
$8,830,000 total funding, $5,000,000 from the ARC and $3,830,000 industry partner funding
The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.
Australian Research Council (ARC) Linkage Projects:
A/Prof Britta Bienen, Prof Mark Cassidy, A/Prof Conleth O’Loughlin, Dr Neil Morgan
Design guideline for suction caissons supporting offshore wind turbines
$395,000 over three years from the ARC. $191,728 cash and $374,999 in-kind from the partner organisation Lloyd’s Register EMEA.
This project aims to develop an industry guideline for suction caisson foundations,that are a new form of fixed platform anchor, for offshore wind turbines. The project expects to generate new knowledge of caisson response during installation and over millions of wind/wave load cycles, by integrating field experience with measurements from innovative experiments. The expected outcomes of this project include new methods to guide suction installation in difficult soil layering and predicting rotation and stiffness over a turbine’s operational life. The benefits of these scientific advances will contribute to the economic and reliable design of suction caisson foundations and a more rapid take-up of offshore wind energy.
Prof Michael Johns, Prof Eric May, Dr Scott Seltzer
Shale Rock Characterisation using Nuclear Magnetic Resonance
$290,521 over three years from the ARC. $210,000 cash and $90,000 in-kind from the partner organisation Chevron Energy Technology.
This project aims to assess the viability of potential shale oil and gas reserves, using Nuclear Magnetic Resonance (NMR) core analysis and well logging techniques to characterise shale samples. Shale oil and gas reserves have the potential to provide a rapidly dispatchable energy source, which could play a key role as a transition fuel to renewable energy. The project will develop techniques to deliver quantitative fluid typing, producible porosity, pore sizes and permeability measurements for shale samples, which could be used in the shale gas and oil industry. These techniques will improve the predictability of shale field developments that better inform their economic and environmental impact.
Ben Robson (UWA Faculty of Engineering Mathematical Sciences) (+61 8) 6488 7501