Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm
Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm
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DOI：
10.1016/j.petrol.2016.01.013
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发表时间：
2016-04
影响因子：
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通讯作者：
A. Fayazi;H. Bagherzadeh;A. Shahrabadi
中科院分区：
文献类型：
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作者：
A. Fayazi;H. Bagherzadeh;A. Shahrabadi
可靠的相对渗透率曲线对于成功的油藏模拟和建模至关重要。这些曲线可用于精细模型。然而，详细的描述需要大量的内存和处理时间。因此，需要将实验室实验测得的岩心尺寸相对渗透率曲线提高到适合各种模拟类型的尺度。这种升级是通过伪函数完成的。本文提出了一种新的基于b样条表示的自动历史匹配算法来估计伪相对渗透率曲线。以三维非均质水驱为例，将生成的伪曲线与四种动态伪函数的性能进行了比较。此外，研究了伪函数估计不确定性对10年累计产油量的影响。结果表明，通过历史拟合得到的相对渗透率曲线在其他拟合曲线中具有最好的性能，该方法可用于超出原始拟合周期的油藏模拟。
Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match.