多相流
石油工程
提高采收率
固碳
土壤孔隙空间特征
相对渗透率
比例(比率)
碳捕获和储存(时间表)
磁导率
毛细管作用
环境科学
二氧化碳
地质学
材料科学
岩土工程
化学
机械
多孔性
生物化学
物理
海洋学
有机化学
量子力学
气候变化
膜
复合材料
作者
Martin J. Blunt,Branko Bijeljic,Hu Dong,Oussama Gharbi,Stefan Iglauer,Peyman Mostaghimi,Adriana Paluszny,Christopher H. Pentland
标识
DOI:10.1016/j.advwatres.2012.03.003
摘要
Pore-scale imaging and modelling – digital core analysis – is becoming a routine service in the oil and gas industry, and has potential applications in contaminant transport and carbon dioxide storage. This paper briefly describes the underlying technology, namely imaging of the pore space of rocks from the nanometre scale upwards, coupled with a suite of different numerical techniques for simulating single and multiphase flow and transport through these images. Three example applications are then described, illustrating the range of scientific problems that can be tackled: dispersion in different rock samples that predicts the anomalous transport behaviour characteristic of highly heterogeneous carbonates; imaging of super-critical carbon dioxide in sandstone to demonstrate the possibility of capillary trapping in geological carbon storage; and the computation of relative permeability for mixed-wet carbonates and implications for oilfield waterflood recovery. The paper concludes by discussing limitations and challenges, including finding representative samples, imaging and simulating flow and transport in pore spaces over many orders of magnitude in size, the determination of wettability, and upscaling to the field scale. We conclude that pore-scale modelling is likely to become more widely applied in the oil industry including assessment of unconventional oil and gas resources. It has the potential to transform our understanding of multiphase flow processes, facilitating more efficient oil and gas recovery, effective contaminant removal and safe carbon dioxide storage.
科研通智能强力驱动
Strongly Powered by AbleSci AI