摘要
快速傅里叶变换滑动平均(FFT-MA)法是一种灵活高效的随机建模方法,在地下介质高分辨率建模、复杂介质非平稳建模和不确定性评价等方面具有重要的应用价值。准确构建空间结构模型是利用FFT-MA方法生成合理的随机模型的关键。然而,以往对FFT-MA方法的研究并未提出准确构建空间结构模型的有效方法。为此,文中提出了一种有效的空间结构模型估计方法。该方法基于反演思想,通过最小化随机模型与测井数据和地震数据的空间结构差异,分别估计空间结构模型的纵向自相关长度和横向自相关长度。同时,为了优化空间结构模型的估计效果,在纵向自相关长度的反演过程中引入边界保护正则化,以提高反演的稳定性。此外,将地震约束引入模型优选以提高随机模型的稳定性。实验结果表明:该方法能够稳定估计地下介质的非平稳空间结构模型,从而建立准确描述复杂储层非平稳空间相关特征的高分辨率随机模型。与基于序贯高斯协模拟的随机建模方法相比,使用空间结构模型优化的FFT-MA随机建模方法能够有效刻画多种复杂地质构造从而实现复杂储层建模。
The fast Fourier transform moving average(FFT-MA)method is a flexible and efficient stochastic modeling method,which is of great importance in some aspects such as high-resolution modeling of subsurface media,non-stationary modeling of complex media and uncertainty evaluation.Accurately constructing the spatial structure model is the key to generating a reasonable stochastic model by the FFT-MA method.However,in the previous research on the FFT-MA method,no effective method for accurately constructing the spatial structure model has been proposed.Therefore,an effective estimation method for spatial structure model is proposed.Based on the idea of inversion,by minimizing the spatial structure difference between the stochastic model and the logging data as well as the seismic data,the vertical autocorrelation length and the lateral autocorrelation length are estimated respectively.In order to optimize the method’s estimation performance for the spatial structure model,the edge-preserving regularization is introduced in the inversion process of the vertical autocorrelation length to enhance the stability of the inversion.In addition,seismic constraints are introduced into model optimization process to improve the stability of the stochastic model.Experimental results show that this method can stably estimate the non-stationary spatial structure model of underground media and thus helps establish a high-resolution stochastic model that accurately describes the non-stationary spatial correlation characteristics of complex reservoirs.Compared with the stochastic modeling method based on sequential Gaussian cosimulation,the FFT-MA stochastic modeling method with an optimized spatial structure model can effectively present various complex geological structures,by which complex reservoir modeling can be achieved.
作者
黄国娇
曾繁鑫
王善涛
张宏兵
蒋甫玉
HUANG Guojiao;ZENG Fanxin;WANG Shantao;ZHANG Hongbing;JIANG Fuyu(College of Earth Sciences and Engineering,Hohai University,Nanjing,Jiangsu 211100,China;Qingdao Water Conservancy Survey&Design Research Institute Co.,Ltd.,Shandong,Qingdao 266071,China)
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2024年第5期1121-1131,共11页
Oil Geophysical Prospecting
基金
国家自然科学基金项目“水平井固—液—液多相流数值模拟方法及模块化集流流动特性研究和实验”(41374116)、“基于多信息融合的非线性叠前地震多参数同步反演方法研究”(41674113)
中国海洋石油总公司科研项目“面向薄储层的多波保幅AVO正演及反演技术研究”(CNOOC-KJ125 ZDXM 07 LTD NFGC 2014‑04)
青岛市崂山区水利局科研项目“青岛市大河东水库渗漏探测”(821120416)联合资助。
关键词
FFT-MA
方法
空间结构模型
参数反演
边界保护正则化
随机建模
非平稳性建模
FFT-MA method
spatial structure model
parameter inversion
edge-preserved regularization
stochastic modeling
non-stationarity modeling
