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

基于显微层析成像的网络模型对石油储层岩石多相流特性预测价值的实验验证

• 批准号: DP0878564
• 负责人: Dr Yildiray Cinar
• 金额: $ 14.36万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0878564
• 关键词: Experimental; Verification; Predictive; Value; Microtomography

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.

澳大利亚的石油和天然气储量主要依赖于偏远的近海深水沃茨的勘探和开发，这些水域的运营成本最高。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。 其结果将是巨大的科学兴趣的国家/国际社会长期以来一直在研究网络模型，以了解石油储层中的多相流。这将使澳大利亚走在这项技术的最前沿。此外，需要多阶段模型的地下水补救和温室气体地质封存的模型研究将受益于该项目。