改进的储层直接取样随机模拟方法及GPU实现  

Improvements for direct sampling stochastic simulation and GPU implementation

作　　者：谢青[1,2] 彭威[1,2] 柳瑶阁[1,2] 黄涛[1,2] 卢德唐[1,2] 

机构地区：[1]中国科学技术大学近代力学系,安徽合肥230027 [2]中国科学技术大学石油与天然气研究中心,安徽合肥230027

出　　处：《中国科学技术大学学报》2013年第8期626-630,共5页JUSTC

基　　金：国家自然科学重点基金(10932010);国家重大科技专项(2011zx05009-006);国家重点基础研究发展(973)计划(2011CB707305)资助

摘　　要：讨论了储层随机模拟方法中的直接取样方法,并对其中地质模式分量的选取方式进行了改进,提出了结合空间相关关系模型结构化特性的方法.针对模式子空间中的求解问题,提出了基于统一计算设备构架(compute unified device architecture,CUDA)的并行策略.实验结果表明,模式分量选取方式的改进有效改善了两相河流沉积系统中河道的连续性,并且模式子空间中的求解的并行方法具有较小的时间复杂度.根据选取参数组的不同,并行方法的计算速度比串行方法最低提速10倍,最高提高了近100倍.The direct sampling stochastic simulation method for reservoir modeling was discussed, the selection of geological pattern component was improved, and a method was presented which combined the structural characteristic information of the spatial relationship with the pattern component. CUDA （compute unified device architecture）-based parallel strategies were also proposed for obtaining an optimal solution within the pattern subspaces. Experimental results show that the proposition of the pattern component selection greatly improves the large scale continuity of the sand channels in the two-facies sedimentary system. Further, the parallel computing method for solving the pattern subspace has small time complexity. The parallel computational efficiency on GPU shows a 10X to 100X improvement compared with the serial implementation with different computing parameters.

关 键 词：随机模拟 直接采样 并行计算 统一计算设备构架(CUDA) 

分 类 号：P628.2[天文地球—地质矿产勘探] TE122.24[天文地球—地质学]