| 基于地质统计先验信息的储层物性参数同步反演 |
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| 引用本文： | 印兴耀,孙瑞莹,王保丽,张广智.基于地质统计先验信息的储层物性参数同步反演[J].应用地球物理,2014,11(3):311-320. |
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| 作者姓名： | 印兴耀 孙瑞莹 王保丽 张广智 |
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| 作者单位： | 中国石油大学(华东)地球科学与技术学院,山东青岛266580 |
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| 基金项目： | sponsored by the National Basic Research Program of China（No.2013CB228604）; the Major National Science and Technology Projects（No.2011ZX05009）; the Natural Science Foundation of Shandong Province（No.ZR2011DQ013）; the National Science Foundation of China（No.41204085） |
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| 摘 要： | 本文提出的储层物性参数同步反演是一种高分辨率的非线性反演方法,该方法综合利用岩石物理和地质统计先验信息,在贝叶斯理论框架下,首先通过变差结构分析得到合理的变差函数,进而利用快速傅里叶滑动平均模拟算法（Fast Fourier TransformMoving Average,FFT-MA）和逐渐变形算法（Gradual Deformation Method,GDM）得到基于地质统计学的储层物性参数先验信息,然后根据统计岩石物理模型建立弹性参数与储层物性参数之间的关系,构建似然函数,最终利用Metropolis算法实现后验概率密度的抽样,得到物性参数反演结果。并将此方法处理了中国陆上探区的一块实际资料,本方法的反演结果具有较高的分辨率,与测井数据吻合度较高;由于可以直接反演储层物性参数,避免了误差的累积,大大减少了不确定性的传递,且计算效率较高。
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| 关 键 词： | 地质统计先验信息 统计岩石物理 贝叶斯理论 物性参数同步反演 |
Simultaneous inversion of petrophysical parameters based on geostatistical a priori information |
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| Xing-Yao Yin,Rui-Ying Sun,Bao-Li Wang,Guang-Zhi Zhang.Simultaneous inversion of petrophysical parameters based on geostatistical a priori information[J].Applied Geophysics,2014,11(3):311-320. |
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| Authors: | Xing-Yao Yin Rui-Ying Sun Bao-Li Wang Guang-Zhi Zhang |
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| Institution: | 1. School of Geosciences, China University of Petroleum (Huadong), Qingdao, 266580, China
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| Abstract: | The high-resolution nonlinear simultaneous inversion of petrophysical parameters is based on Bayesian statistics and combines petrophysics with geostatistical a priori information. We used the fast Fourier transform-moving average (FFT-MA) and gradual deformation method (GDM) to obtain a reasonable variogram by using structural analysis and geostatistical a priori information of petrophysical parameters. Subsequently, we constructed the likelihood function according to the statistical petrophysical model. Finally, we used the Metropolis algorithm to sample the posteriori probability density and complete the inversion of the petrophysical parameters. We used the proposed method to process data from an oil field in China and found good match between inversion and real data with high-resolution. In addition, the direct inversion of petrophysical parameters avoids the error accumulation and decreases the uncertainty, and increases the computational efficiency. |
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| Keywords: | Geostatistical a priori information petrophysics Bayesian statistics simultaneous inversion |
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