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由于储层的非均质性及油藏类型的复杂性,加之注采井网的不完善性,导致地下油水运动十分复杂。在这种情况下,很难精确预测井间储层参数分布和剩余油富集区域。针对上述难点和挑战,通过利用储层建模技术,建立了储层地质模型及其预测模型,从而在很大程度上加强了精细油藏描述中基础数据的管理。利用随机建模的储层建模技术是当今油藏表征技术的一个重要组成部分,该技术能有效刻画储层非均质性,定量研究储层评价中的不确定性,从而有力地推动着油藏描述技术向定量化方向发展。
Due to the heterogeneity of reservoirs and the complexity of reservoir types, coupled with the imperfection of injection and production well patterns, the underground oil and water movement is very complicated. In this case, it is difficult to predict accurately the crosswell reservoir parameter distribution and remaining oil enrichment area. In response to the above difficulties and challenges, reservoir geological models and their prediction models have been established by using reservoir modeling techniques, thereby greatly strengthening the management of basic data in fine reservoir descriptions. Reservoir modeling using stochastic modeling is an important component of current reservoir characterization techniques that effectively characterize reservoir heterogeneity and quantitatively study uncertainty in reservoir evaluation, Reservoir description technology to quantify the direction of development.