Experimental Verification of the Predictive Value of Microtomography-Based Network Models for Multiphase Flow Properties of Petroleum Reservoir Rocks

澳大利亚的石油和天然气储量主要依赖于偏远近海深水的勘探和开发，那里的运营成本最高。这正是新兴的基于显微断层扫描的网络模型技术将产生最大经济影响的领域。这一结果将引起国内/国际社会的极大科学兴趣，他们长期以来一直在研究网络模型，以了解石油油藏中的多相流。这将使澳大利亚走在这项技术的前沿。此外，需要多阶段模型的地下水修复和温室气体地理排序的模拟研究将从该项目中受益。

Australia's oil and gas reserves are primarily dependent on exploration and development in remote offshore deep waters where the operational costs are highest. This is precisely the area where the emerging microtomography-based network model technology will have the most economic impact. The outcome will be of immense scientific interest to the national/international community which has long been studying network models to understand multiphase flow in petroleum reservoirs. This will place Australia in the forefront of this technology. Furthermore, modelling studies of groundwater remediation and geosequestration of greenhouse gases which require a multiphase model will benefit from the project.