葛子建^1,2,,
李景叶^1,2,
陈小宏^1,2,
于鑫^1,2,
吴建鲁³
1. 中国石油大学(北京) 油气资源与探测国家重点实验室, 北京 102249
2. 中国石油大学(北京) 海洋石油勘探国家工程实验室, 北京 102249
3. 中国石油大学(华东) 地球科学与技术学院, 青岛 266555

基金项目: 国家自然科学基金项目（U1262207，41390454）和国家科技重大专项课题（2011ZX05019-006）联合资助


详细信息

作者简介: 葛子建, 男, 1989年生, 在读博士生, 主要从事地震资料处理和裂缝储层表征方法研究.E-mail:zingzijian@hotmail.com

中图分类号: P631

收稿日期:2017-11-08
修回日期:2017-12-09
上线日期:2018-07-05

Bayesian linearized AVAZ inversion for fracture weakness parameters in TTI medium

GE ZiJian^1,2,,
LI JingYe^1,2,
CHEN XiaoHong^1,2,
YU Xin^1,2,
WU JianLu³
1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China
2. National Engineering Laboratory for Offshore oil Exploration, China University of Petroleum, Beijing 102249, China
3. School of Geoscience, China University of Petroleum, Qingdao 266555, China


MSC: P631

--> Received Date: 08 November 2017
Revised Date: 09 December 2017
Available Online: 05 July 2018


摘要
摘要:裂缝储层岩石物理参数的准确获得对地下裂缝预测具有重要意义，而叠前方位AVA地震反演是获得裂缝岩石物理参数的有效手段.假设地下岩石为倾斜横向各向同性（TTI）介质，本文从裂缝岩石物理等效模型的构建出发，从测井数据中估计出纵横波相对反射系数和裂缝柔度参数.通过推导含裂缝柔度的方位各向异性反射系数公式，基于贝叶斯反演框架建立了P波线性AVAZ反演方法.合成地震数据应用表明基于贝叶斯理论的TTI介质裂缝柔度反演方法具有一定抗噪性，可以降低裂缝柔度估测的不确定性，为地下裂缝预测提供有力的依据.
关键词: 方位各向异性/
TTI/
裂缝/
岩石物理/
贝叶斯反演

Abstract:It is significant to obtain the accurate rock physics parameters of fractured reservoirs for underground fractures prediction. Prestack azimuthal AVA seismic inversion is an efficient means to estimate rock physics parameters. Assuming that underground is transverse isotropy with a titled axis of symmetry, this paper begins with the building of fracture rock physics equivalent model. The impedance and fracture rock physics parameters can be estimated from well log data by using model. The paper also deduces the azimuthal anisotropic reflectivity equation which contains the fracture weakness parameters. Based on the framework of Bayesian inversion, we build the linearized AVAZ inversion of P-wave for TTI medium. Tests on synthetic data show that the new method can estimate fracture weaknesses parameters reasonably with moderate noise, which leads to reduce the uncertainty for the estimation of fracture rock physics parameters. And the method is a strong tool for fracture prediction.
Key words:Azimuthal anisotropy/
TTI/
Fracture/
Rock physics/
Bayesian inversion



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