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标题: 【FAQ】1.2 模型计算所需要的最小内存 [打印本页]

作者: 乔聪颖    时间: 2020-6-16 10:07
标题: 【FAQ】1.2 模型计算所需要的最小内存
本帖最后由 乔聪颖 于 2020-6-19 17:12 编辑

1.2 What minimum amount of memory is required for model's calculation  
1.2 模型计算所需要的最小内存

The required amount of memory is proportional to the number of model’s active grid blocks.
所需的内存大小与模型的活网格块数成正比。
For three-phase black oil model 3 Kb of memory are required for each active grid block; for 2-phase case 2 Kb are required for each grid block. Compositional and thermal models require about as many Kb per grid block as there are components in the model (including water and its components, as well as solid components).
对于三相黑油模型,每个活网格块都需要3Kb的内存;对于两相情况,每个网格需要2Kb。组分模型和热采模型每个网格块所需的Kb大约与模型中的组分(包括水及各个组分,以及固态组分)一样多。
Memory requirements may be further enhanced by the use of additional grid properties that specify the scaling of relative permeability end points, alkaline/surfactant/polymer injection, presence of tracers, temperature option in black oil and compositional models, hysteresis of relative permeabilities, rock compaction, non-equilibrium phase transitions, and other options that make use of the saved grid propetries from the step before.
使用其他网格属性会进一步提高内存需求,如指定相对渗透率端点的缩放,碱/表面活性剂/聚合物的注入,示踪剂的存在,黑油和组分模型中的温度选项,相对渗透率的滞后作用,岩石压实,非平衡相变和利用了之前步骤中保存的网格特性其他选项等。
If the percentage of active blocks is small, then model loading may require more memory than its calculation.
如果活动块的百分比很小,则模型加载可能需要比其计算更多的内存。

(注:内存问题确实是影响模型运算的一个瓶颈。比如,在使用tNavigator时,想利用GPU加速计算,则首要考虑的重要参数之一即是显存大小,显存越大,则相应的能够允许调用GPU进行计算的模型规模也就越大。--qcy)






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