首页|空间结构模型优化的弹性参数FFT-MA随机建模

空间结构模型优化的弹性参数FFT-MA随机建模

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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.
FFT-MA stochastic modeling of elastic parameters based on optimized spatial structure model
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 spa-tial 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 pro-posed.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 autocor-relation length are estimated respectively.In order to optimize the method's estimation performance for the spa-tial structure model,the edge-preserving regularization is introduced in the inversion process of the vertical auto-correlation 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 es-tablish a high-resolution stochastic model that accurately describes the non-stationary spatial correlation charac-teristics of complex reservoirs.Compared with the stochastic modeling method based on sequential Gaussian co-simulation,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.

FFT-MA methodspatial structure modelparameter inversionedge-preserved regularizationsto-chastic modelingnon stationarity modeling

黄国娇、曾繁鑫、王善涛、张宏兵、蒋甫玉

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河海大学地球科学与工程学院,江苏南京 211100

青岛市水利勘测设计研究院有限公司,山东青岛 266071

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

国家自然科学基金项目&&中国海洋石油总公司科研项目青岛市崂山区水利局科研项目

4137411641674113CNOOC-KJ125 ZDXM 07 LTD NFGC 2014-04821120416

2024

石油地球物理勘探
东方地球物理勘探有限责任公司

石油地球物理勘探

CSTPCD北大核心
影响因子:1.766
ISSN:1000-7210
年,卷(期):2024.59(5)