Prestack seismic facies-controlled joint inversion of reservoir elastic and petrophysical parameters for sweet spot prediction
Prestack seismic facies-controlled joint inversion of reservoir elastic and petrophysical parameters for sweet spot prediction
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叠前地震相控储层弹性和岩石物理参数联合反演用于甜点预测
DOI：
10.1177/0144598717716286
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发表时间：
2017-06
影响因子：
2.7
通讯作者：
Luo Yaneng
中科院分区：
文献类型：
--
作者：
Zhang Sheng;Huang H;ong;Li Huijie;Wang Gaofei;Dong Yinping;Luo Yaneng
储层的弹性参数和岩石物理参数可直接用于岩性预测和流体识别。现有的估计储层弹性参数和物性参数的地震联合反演方法主要基于Gassmann方程和Wyllie修正方程，前者通过随机优化方法从叠前地震数据中反演这些参数，后者利用确定性优化方法从叠后地震数据中反演这些参数。无论储层参数的反演是随机的还是确定性的，都只考虑参数之间的微观联系，不考虑宏观地质背景的约束。这项工作的目的是发展一种基于Gassmann方程和地震相的确定性地震叠前反演方法来估计储层的弹性参数和岩石物理参数。利用Gassmann方程建立叠前地震数据与物性参数之间的关系，利用低通滤波矩阵得到地震相与地震反演的组合，提高了反演结果的稳健性。在贝叶斯框架下，将弹性参数和岩石物理参数的联合后验概率作为目标函数，利用泰勒公式对目标函数进行展开，通过微分得到由弹性参数和岩石物理参数组成的联合方程。然后用共轭梯度法求出纵波速度、S波速度、密度、孔隙度、含水饱和度和粘土含量的最优解。理论计算和实际资料反演结果证明了该方法的可行性和适用性。
The elastic and petrophysical parameters of a reservoir can be directly applied to lithology prediction and fluid identification. Existing seismic joint inversion methods for estimating the elastic and petrophysical parameters of a reservoir are primarily based on either the Gassmann equation, with which these parameters are inverted from prestack seismic data through stochastic optimization methods, or Wyllie’s modified equation, with which these parameters are inverted from poststack seismic data using deterministic optimization methods. Regardless of the stochastic or deterministic inversion of reservoir parameters, only the microscopic connection between parameters is considered, without considering the constraints of the macroscopic geological background. The purpose of this work is to develop a strategy for estimating the elastic and petrophysical parameters of a reservoir based on the Gassmann equation and seismic facies using deterministic seismic prestack inversion. We employ the Gassmann equation to construct the relationship between the prestack seismic data and petrophysical parameters and use a low-pass filter matrix to obtain the combination of seismic facies and seismic inversion and improve the robustness of the inversion results. We treat the joint posterior probability of elastic and petrophysical parameters as the objective function under a Bayesian framework by expanding the objective function with the Taylor formula; the joint equations composed of elastic and petrophysical parameters are obtained through differentiation. The conjugate gradient method is subsequently used to find the optimal solutions for the P-wave velocity, S-wave velocity, density, porosity, water saturation, and clay content. Theoretical calculations and actual data inversion results prove the feasibility and applicability of the method.
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影响因子：
3.3
作者：
K. Rimstad;H. Omre
通讯作者：
K. Rimstad;H. Omre
影响因子：
3.3
作者：
S. Elliott;B. Wiley
通讯作者：
S. Elliott;B. Wiley
影响因子：
3.3
作者：
FATTI, JL;SMITH, GC;LEVITT, PR
通讯作者：
LEVITT, PR
影响因子：
3.3
作者：
M. Bosch
通讯作者：
M. Bosch
DOI：
10.1190/segam2013-0660.1
发表时间：
2013-09
期刊：
Seg Technical Program Expanded Abstracts
影响因子：
--
作者：
M. Sams;D. Saussus
通讯作者：
M. Sams;D. Saussus