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Conditioning Stochastic Reservoir Models to Well-Test Data

机译:将随机储层模型调配到试井数据

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摘要

Generating realizations of reservoir permeabilty and porosity fields that are conditional to static and dynamic data are difficult. The constraints imposed by dynamic data are typically nonlinear And the relationship between the observed data and the petro- Physical parameters is given by a flow simulator which is expen- Sive to run. In addition, spatial organization of real rock properties Is quite complex. Thus, most attempts at conditioning reservoir Properties to dynamic data have either approximated the relation- Ship between data and parameters so that complex geologic mod- Els could be sued or have used simplified spatial models with Actual production data.
机译:很难以静态和动态数据为条件来生成储层渗透率和孔隙率场的实现。动态数据所施加的约束通常是非线性的,并且观测数据与石油物理参数之间的关系由运行成本很高的流量模拟器给出。另外,真实岩石属性的空间组织是相当复杂的。因此,大多数将储层物性调节为动态数据的尝试要么近似了数据和参数之间的关系,以致可以使用复杂的地质模型,要么使用具有实际生产数据的简化空间模型。

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