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基于反射界面自动拾取的AVA反演方法研究
引用本文:骆春妹, 袁三一, 王尚旭. 2017. 基于反射界面自动拾取的AVA反演方法研究. 地球物理学报, 60(3): 1132-1142, doi: 10.6038/cjg20170324
作者姓名:骆春妹  袁三一  王尚旭
作者单位: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) CNPC物探重点实验室, 北京 102249; 3. 中国石油大学 (北京) 地球物理与信息工程学院, 北京 102249
基金项目:国家重点基础研究发展计划(973计划)(2013CB228600),国家自然科学基金(41674127),中国石油大学(北京)优秀青年教师项目(ZX20150105)和中国石油科技管理部重大科技项目(2016B-0603)联合资助.
摘    要:

本文将逐点匹配滤波思想应用于叠前AVA反演,提出了一种反射界面自动拾取方法,从而将叠前非线性反演问题转化为两步线性反演进行求解.首先基于逐点计算的方式获取每个采样点对应的残差值,然后在残差曲线上自动拾取波谷以定位反射界面,最后在频率域采用最小二乘反演对叠前参数进行更准确的估计.相比于传统的同时估计反射界面位置和幅值的非线性反演方法,该方法不需要关于参数的个数、分布等先验假设,并且具有运算速度快、求解稳定的优点.模型试验以及实际地震资料处理验证了该方法的有效性.



关 键 词:AVA反演   匹配滤波   最小二乘反演
收稿时间:2016-06-03
修稿时间:2017-02-08

AVA inversion based on automatic picking-up of reflection interfaces
LUO Chun-Mei, YUAN San-Yi, WANG Shang-Xu. 2017. AVA inversion based on automatic picking-up of reflection interfaces. Chinese Journal of Geophysics (in Chinese), 60(3): 1132-1142, doi: 10.6038/cjg20170324
Authors:LUO Chun-Mei  YUAN San-Yi  WANG Shang-Xu
Affiliation:1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China; 2. CNPC Key Lab of Geophysical Exploration, China University of Petroleum, Beijing 102249, China; 3. College of Geophysics and Information Engineering, China University of Petroleum, Beijing 102249, China
Abstract:The idea of matched filtering in a sample-by-sample way is applied to prestack AVA inversion and an automatic method for reflection interfaces picking is proposed, which permits to transform the nonlinear prestack inversion into a two-step linear inversion. First, the residuals corresponding to all samples are calculated sample-by-sample.Then reflection interfaces are located automatically by picking up the troughs on the residual curve. Finally, the intercepts and gradients are estimated with the least-squares inversion in the frequency domain.Compared with the traditional methods to simultaneously invert for locations and amplitudes of reflections, the proposed method has higher computation efficiency and better stability and does not need some prior constraints such as the distribution or the number of the parameters.Synthetic examples and experiments on field data validate the feasibility of this method.
Keywords:AVA inversion  Matched filtering  Least-squares inversion
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