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论文题目（英文）：a new post processing method for reservoir stochastic modeling: a solution based on information degree
作者：Yin Yanshu
刊物名称：
刊物名称（英文）：Computers&geosciences 2011年第10期
影响因子：1.03
摘要：
摘要（英文）：A post-processing method based on information degree is developed to solve the small-scale
variation (noise) in reservoir stochastic modeling. Considering that different modeling results have
different probabilities and credits, the new method uses the information degree calculated by the
probabilities as weights to process the noise. Compared with the traditional post-processing methods,
this method is geologically more reasonable in that it considers both the information provided by the
conditional data and the uncertainties associated with random sampling during simulation. The
computation of information degree is objective, which avoids the subjective assignments of weight
values in the traditional methods. Comparative studies using both conceptual and real reservoir
models show that the new method effectively processes the noise in realizations. It, thus, is a
prospective approach to the post-processing family in stochastic modeling.
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