| 距离法定量评价储层地质模型的不确定性 |
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| 引用本文： | 戴危艳,李少华,刘诗宇.距离法定量评价储层地质模型的不确定性[J].地质与资源,2015,24(5):478-482. |
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| 作者姓名： | 戴危艳 李少华 刘诗宇 |
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| 作者单位： | 长江大学 地球科学学院, 湖北 武汉 430100 |
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| 基金项目： | 国家自然科学基金（41272136）和非常规油气湖北省协同中心创新基金（HBUOG-2014-14）. |
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| 摘 要： | 针对目前常用的储层地质模型不确定性评价方法存在的主要问题，提出了先用距离函数计算模型之间的差异，再以差异的大小来判断不确定性大小的方法.以WZ油田西区为例，采用相控物性参数建模技术，利用顺序高斯模拟方法建立渗透率的三维模型.对各种度量差异的距离函数进行对比研究和分析，结果显示曼哈顿距离函数和欧氏距离函数能较好地刻画模型之间的差异.选用欧氏距离函数计算模型之间的差异，其原理是先计算每两个模型之间相对应的每一网格节点的渗透率值差的平方和，然后取平方根，得到一个表征各模型之间差异的矩阵.根据该矩阵可得到各个模型之间的差异程度，差异越大，不确定性就越大.最后通过对比模型过井剖面图分析结果与距离矩阵分析结果，说明了本方法的正确性，结果显示该方法能有效评价随机模拟生成的储层地质模型的不确定性.
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| 关 键 词： | 储层地质模型 不确定性 距离函数 随机模拟 矩阵 |
| 收稿时间： | 2015-01-12 |
QUANTITATIVE EVALUATION ON THE UNCERTAINTY OF RESERVOIR GEOLOGICAL MODEL WITH DISTANCE METHOD |
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| DAI Wei-yan,LI Shao-hua,LIU Shi-yu.QUANTITATIVE EVALUATION ON THE UNCERTAINTY OF RESERVOIR GEOLOGICAL MODEL WITH DISTANCE METHOD[J].Geology and Resources,2015,24(5):478-482. |
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| Authors: | DAI Wei-yan LI Shao-hua LIU Shi-yu |
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| Institution: | School of Geosciences, Yangtze University, Wuhan 430010, China |
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| Abstract: | Aiming at the main problems in the common evaluations on the uncertainty of reservoir geological model, this paper presents a method to calculate the differences between two models with distance function, then estimate the degree of uncertainty based on the differences. Taking the western WZ Oilfield for example, the facies-controlled physical parameters modeling technology and sequential Gauss stimulation method are used to establish 3D permeability models. Comparing and analyzing various distance functions, the results show that the Manhattan and Euclidean distance functions can describe the differences between models better. The principle of Euclidean distance function is calculating the quadratic sum of permeability value in each grid node between two models first, and then taking the square root to get a dissimilarity matrix characterized the differences between models. The difference between models can be directly obtained with the matrix:The greater the difference between models is, the greater the uncertainty of simulation result is. Finally, the comparative analysis results of intersection map and distance matrix show that this method is effective in evaluation of the uncertainty of reservoir geological model generated by stochastic simulation. |
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| Keywords: | reservoir geological model uncertainty distance function stochastic simulation matrix |
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