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为提高单正态方程模拟的运行速度及地质建模效果,研究基于Apache Spark大数据开源平台的SNESIM算法及其分布式执行方法,实现了地质单元较细粒度的划分与统计建模,满足了实际任务及作业高度并行化需求,提高了计算效率且该分布式策略易于实现与部署,尤其适合于高精度大规模的地质统计模拟及油藏表征应用.
In order to improve the running speed and geological modeling effect of single normal equation simulation, the SNESIM algorithm based on Apache Spark big data open source platform and its distributed execution method are studied. The fine granularity and statistical modeling of geological units are realized. Actual tasks and job height parallelization requirements, improve the computational efficiency and the distributed strategy is easy to implement and deploy, especially suitable for large-scale high-precision geostatistical simulation and reservoir characterization applications.