基于动校正前CRP道集的多波联合AVO反演新方法

发布时间：2018-03-18 12:22

本文选题：AVO联合反演　切入点：模量反射系数　出处：《科学技术与工程》2017年33期 　论文类型：期刊论文

【摘要】：叠前AVO反演可以得到地层的弹性信息,继而进行地层岩性和流体类型识别。与速度信息相比,弹性模量信息更有利于储层描述。因此,本文采用叠前AVO反演方法直接反演得到纵波模量反射系数、横波模量反射系数和密度反射系数,联合纵波(PP)资料和转换横波(PS)资料进行AVO反演提高反演结果的精度和稳定性。常规AVO反演方法所采用的数据都是动校正后的CRP道集,动校正处理引入的动校正拉伸效应会影响反演效果,降低反演精度,尤其是密度的反演结果会受到较大影响。本文采用动校正前的CRP道集进行联合AVO反演,在反演过程中引入贝叶斯理论,从而提高反演的稳定性和精度。理论模型试算结果表明,本文提出的反演方法具有更好的稳定性、更高的精度以及更强的抗噪能力。
[Abstract]:Prestack AVO inversion can obtain the elastic information of the formation and then identify the lithology and fluid type of the formation. Compared with the velocity information, the elastic modulus information is more favorable to the reservoir description. In this paper, the reflection coefficient of P-wave modulus, S-wave modulus and density reflection coefficient are obtained by using prestack AVO inversion method. The accuracy and stability of the inversion results are improved by using the AVO inversion method combined with the P-P data and the converted S-P data. The data used in the conventional AVO inversion method are all CRP gathers after NMO correction. The NMO stretch effect introduced by NMO processing will affect the inversion effect and reduce the inversion accuracy, especially the inversion result of density will be greatly affected. In this paper, the CRP gather before NMO correction is used for joint AVO inversion. Bayesian theory is introduced into the inversion process to improve the stability and accuracy of the inversion. The experimental results of the theoretical model show that the proposed inversion method has better stability, higher accuracy and stronger anti-noise ability.
【作者单位】：中国石油勘探开发研究院廊坊分院;中国石油大学(北京)地球物理与信息工程学院;
【基金】：国家科技重大专项(2016ZX05047-002)资助
【分类号】：P631.4

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