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The oil production performance analysis using discrete fracture network model with simulated annealing inverse method

机译:基于离散裂隙网络模型的模拟退火反演采油性能分析

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Naturally fractured reservoirs generally show high production in early stage, however, the oil might decrease suddenly within a few months. Because the connectivity of fracture network directly affects the oil production, the characterization of its network is extremely important, especially in fracture basement reservoirs. In order to characterize the fracture network, we have developed integrated system of fracture generation and discrete fracture network flow model coupling with simulated annealing inversion method. With the utilization of the model, parameters (fracture density, Fishers constant) of fracture network were analyzed. As a result, even though the same values of parameters were applied, different network systems were observed. Therefore, further study is essential to obtain unique fracture network system.
机译:天然裂缝性油藏通常在早期显示出高产,但是,在几个月内油可能会突然减少。由于裂缝网络的连通性直接影响产油量,因此其网络的表征极为重要,尤其是在裂缝基底储层中。为了表征裂缝网络,我们开发了集成的裂缝生成和离散裂缝网络流动模型与模拟退火反演方法的集成系统。利用该模型,分析了裂缝网络的参数(裂缝密度,Fishers常数)。结果,即使应用了相同的参数值,也观察到了不同的网络系统。因此,进一步研究对于获得独特的裂缝网络系统至关重要。

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