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四维多波地震在油藏动态监测中的应用
引用本文:王波,聂其海,陈进娥,王春燕,郭静茹,刘渊. 四维多波地震在油藏动态监测中的应用[J]. 石油地球物理勘探, 2021, 56(2): 340-345. DOI: 10.13810/j.cnki.issn.1000-7210.2021.02.016
作者姓名:王波  聂其海  陈进娥  王春燕  郭静茹  刘渊
作者单位:东方地球物理公司研究院, 河北涿州 072751
摘    要:研究区位于加拿大阿萨巴斯卡油砂区,该区目的层埋深极小,地表条件复杂,油藏开发时间短.因此,开发前、后地震数据差异小,四维地震一致性处理、提取可靠的油藏变化信息及二次测井数据难度大,限制了四维地震反演方法的推广、应用.为此,提出了一种基于低频模型驱动的四维多波联合反演方法,在反演模型中考虑了两期转换波的差异信息,在反演过...

关 键 词:四维三分量  地震数据体匹配  岩石物理  联合反演  纵横波速度比  油藏监测
收稿时间:2020-07-28

Application of 4D multi-component seismic survey in dynamic reservoir monitoring
WANG Bo,NIE Qihai,CHEN Jin'e,WANG Chunyan,GUO Jingru,LIU Yuan. Application of 4D multi-component seismic survey in dynamic reservoir monitoring[J]. Oil Geophysical Prospecting, 2021, 56(2): 340-345. DOI: 10.13810/j.cnki.issn.1000-7210.2021.02.016
Authors:WANG Bo  NIE Qihai  CHEN Jin'e  WANG Chunyan  GUO Jingru  LIU Yuan
Affiliation:GRI, BGP Inc., CNPC, Zhuozhou, Hebei 072751, China
Abstract:In the study area located in the Athabasca oil sand region of Canada, the target layers are extremely shallow, the surface conditions are complex, and the time of reservoir development is short. Therefore, the difference of seismic data before and after the reservoir development is small, and it is difficult to do 4D seismic consistency processing, extract reliable reservoir change and record secondary logging data. This limits the popularization and application of 4D seismic inversion. This paper proposes a 4D multi-component joint inversion method based on a low-frequency model. The model takes into account the difference of converted seismic data, adds converted seismic data into the inversion process. By using 4D3C seismic data and fully integrating two frontier seismic exploration technologies (“4D” and “multi-component”), the 4D multi-component joint inversion method realizes fine reservoir characterization and dynamic monitoring. The following understandings are obtained: ①Real-time combination of processing and interpretation and step by step quality control improve the consistency of non-reservoirs, and retains and highlights the real difference of reservoirs; ②rock physics analysis shows that the velocity ratio of compressional and shear wave is most sensitive to reservoir change and can be used as a sensitive parameter for dynamic reservoir monitoring; ③by making full use of time-shift information of compressional seismic data and converted seismic data, the low-frequency model reflecting reservoir variation can be established, which avoids the limitation of secondary logging data. The method is simple and easy to use, and the prediction of steam chamber is accurate and reliable.
Keywords:4D multi-component seismic  data matching  rock physics  joint inversion  velocity ratio of compressional and shear wave  reservoir monitoring  
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