Simulation of acoustic impedance images by stochastic inversion of post-stack seismic reflection amplitudes and well data

Simulation of acoustic impedance images by stochastic inversion of post-stack seismic reflection amplitudes and well data
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DOI:
10.1016/j.petrol.2014.06.006
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发表时间:
2014-09
影响因子:
--
通讯作者:
F. Alves;J. Almeida;Ana Paula Fernandes da Silva
F. Alves;J. Almeida;Ana Paula Fernandes da Silva
中科院分区:
工程技术2区
文献类型:
--
作者:
F. Alves;J. Almeida;Ana Paula Fernandes da Silva

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在这里,我们提出了一种方法来模拟三维图像的声阻抗条件下,叠后地震反射振幅和井阻抗数据。该方法使用以下步骤:(1)我们计算阻抗和反射系数的初始确定性图像;(2)我们应用顺序模拟和协同模拟算法的修改版本,用于生成以先前计算的反射系数和在威尔斯中观察到的阻抗为条件的阻抗图像;以及(3)我们验证了结果,特别是关于观测的地震立方体与通过对阻抗的模拟图像进行卷积而获得的合成地震立方体之间的相关性。该工作流程的优点是(1)效率-对于每个输出图像只需要运行一个模拟;(2)不确定性的映射-等概率输出图像的集合以阻抗井数据和确定性图像的反射系数两者为条件;以及(3)符合性-该方法符合模拟的特征,即,井数据的去聚类直方图,变差函数,以及在靠近井位置的区块中再现井数据。该方法进行了测试,模拟斯特拉顿气藏的选定区域的阻抗。
Here we present an approach for simulation of 3D images of acoustic impedance conditional both to post-stack seismic reflection amplitudes and well impedance data. The method uses the following steps: (1) we calculate an initial deterministic image of impedances and reflection coefficients; (2) we apply a modified version of the sequential simulation and co-simulation algorithm for generating the impedance images conditioned to the reflection coefficients previously calculated and the impedance observed in the wells; and (3) we validate the results, particularly with respect to the correlation between the observed seismic cubes and the synthetic seismic cubes obtained by convolution of the simulated images of impedance. The advantages of this workflow are (1)efficiency– it is necessary to run only one simulation for each output image; (2)mapping of uncertainty– the set of equiprobable output images is conditional to both the impedance well data and the reflection coefficients of the deterministic image; and (3)compliance– the method complies with the characteristics of a simulation, namely, the declustered histogram of the well data, the variogram, and the reproduction of well data in blocks close to well locations. The approach was tested for modeling the impedance of a selected region of the Stratton gas reservoir.