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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。
The inversion of reservoir physical parameters proposed in this paper is a high-resolution non-linear inversion method. Based on the priori information of rock physics and geostatistics, this method first uses the analysis of variation structure A reasonable variation function is obtained, and then a priori geological parameter based on geostatistics is obtained by using Fast Fourier TransformMoving Average (FFT-MA) and Gradual Deformation Method (GDM) Then, according to the statistical petrophysical model, the relationship between the elastic parameters and reservoir physical parameters was established to construct the likelihood function. Finally, the posterior probability density was sampled by Metropolis algorithm, and the inversion results of physical parameters were obtained. This method is used to process a piece of actual data of China terrestrial exploration area. The inversion result of this method has high resolution and high agreement with the well logging data. Since the physical property parameters of the reservoir can be inverted directly, it can avoid The accumulation of errors greatly reduces the transfer of uncertainty, and the computational efficiency is high.