首页|裂缝泡沫流动特征及改进Dijkstra算法优势通道预测

裂缝泡沫流动特征及改进Dijkstra算法优势通道预测

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泡沫在复杂缝网中的流动规律尚不明确,利用多种组合可视化裂缝模型,观察了泡沫在裂缝中的流动特征,采用改进的Dijkstra算法确定裂缝网络节点的加权图,预测了泡沫流动路径.结果表明,泡沫体积分数为90%时其流动阻力达到最大,泡沫在不同开度的平行裂缝流动时,优先在大开度裂缝中流动,在小开度的裂缝中存在气体滞留.在复杂缝网模型中,基于泡沫流体的波及范围和调堵机制对Dijkstra算法进行改进,模拟结果能够在一定程度上与实验结果进行拟合.这些发现验证了泡沫在裂缝型油藏中流动时考虑裂缝的必要性.
Characteristics of foam flow in fractures and prediction of preferred paths by improved Dijkstra algorithm
Foam flow characteristics in complex fracture networks are still unclear.In this study,a va-riety of combined visual fracture models were used to observe the flow characteristics of foam in the fracture.Then,the improved Dijkstra algorithm was used to determine the weighted graph of the fracture network nodes,and the preferred flow paths of the foam were predicted.The results show that the flow resistance reaches the maximum when the foam volume fraction is 90%.When the foam flows in parallel fractures with different openings,it flows preferentially in the fractures with large o-penings,and there is gas retention in cracks with small openings.In the complex fracture network model,the Dijkstra algorithm is improved based on the foam fluid's sweeping range and plugging mechanism,and the simulation results can be fitted to the experimental results to a certain extent.These findings reflect the necessity of considering fractures when foam flows in reservoirs.

fracturefoamflow characteristicimproved Dijkstra algorithmpreferred path

徐正晓、李猛、李兆敏、李宾飞、陶磊、刘洋、于传康

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常州大学石油与天然气工程学院,江苏常州 213164

中国石油大学(华东)石油工程学院,山东青岛 266580

中国石油长庆油田分公司油气工艺研究院,陕西西安 710018

山东石油化工学院石油工程学院,山东东营 257000

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裂缝 泡沫 流动特征 改进Dijkstra算法 优势通道

江苏省高等学校自然科学研究面上项目常州大学科研启动基金资助项目教育部产学合作协同育人项目

23KJB440001ZMF23020202231002394313828

2024

常州大学学报(自然科学版)
常州大学

常州大学学报(自然科学版)

影响因子:0.459
ISSN:2095-0411
年,卷(期):2024.36(4)