摘要
基于褶积模型的地震反演能得到较高分辨率的结果,但它对初始模型的依赖性强。依托波动理论的波形反演法可获得准确、稳定的低频信息,横向保真性高;测井资料纵向分辨率高,频率信息丰富。本文提出一种基于波形反演结果和测井资料的联合建模方法,综合波形反演结果横向高保真性和测井资料纵向高分辨的优势,提高初始模型的构建精度,进而提高反演结果的精度。应用结果表明,联合构建的三维模型不仅具有波形反演结果的低频特征,还具有测井资料纵向高分辨率的优点,以此作为褶积模型反演的初始模型,提高了储层预测的精度。
Seismic inversion based on a convolution model can obtain high resolution result, but it strongly depends on the initial model. So how to build a reasonable and accurate initial model is essential. The full waveform inversion (FWI) method based on the wave equation can obtain accurate and stable low frequency result, and the inversion result has good lateral fidelity. Well logging data have high vertical resolution and abundant frequency information, but it can only reflect characteristics at well location. In this paper, we propose a joint modeling method based on integration of waveform inversion result with well logging data to improve precision of initial model, and then improve the inversion result. Real data application results show that the established 3D model has advantages of both lateral and vertical high resolution. The use of this initial model for convolution model inversion improves the accuracy of reservoir prediction. © 2016, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2016年第5期947-954,837,共8页
Oil Geophysical Prospecting
基金
国家重大专项(2011ZX05006-006
2011ZX05009)
国家"973"专项(2011CB201104)等课题联合资助
关键词
地震反演
时频分析
初始模型
联合建模
Convolution
Data integration
Seismology
Waveform analysis
Well logging