摘要
三维各向异性走时层析反演问题一直是地震数据处理中的难点,其核心是各向异性参数敏感核函数的建立和三维大规模数据的处理。基于球谐展开群速度表达式,计算走时关于各向异性参数的敏感核函数,引入整形正则化来处理大规模、不适定反问题,并利用共轭梯度法对垂直慢度、水平慢度和动校正慢度的参数化方法(第一种参数化方法)与Thomsen参数化方法(第二种参数化方法)进行反演,实现三维VTI介质初至波走时层析反演。理论模型和实际资料处理结果表明,与经典的Thomsen参数化方法相比,垂直慢度、水平慢度和动校正慢度的参数化方法,更有利于三维VTI介质走时层析速度反演和各向异性参数的建模,进一步提高了反演的精度,具有较好的应用前景。
The problem of 3 Danisotropic traveltime tomography inversion has always been a difficult point in seismic data processing.The core of it is the establishment of anisotropic parameter sensitivity kernel functions and the processing of 3 Dlarge-scale data.Based on the group velocity expression of the spherical harmonic expansion,the paper study calculates the sensitivity kernel function of traveltime for anisotropic parameters,and introduces the shaping regularization to deal with large-scale,III-posed inverse problems.Besides,the study also realized the traveltime tomographic inversion of first-arrival in 3 DVTI media by using the conjugate gradient method to inverse the vertical slowness,horizontal slowness and NMO slowness parameterterization（the first parameterization）as well as the Thomsen parameterization（the second parameterization）.According to the theoretical models and real data processing results,compared with traditional Thomsen parameterization,the first parameterization is more beneficial to the inversion of 3 Danisotropic traveltime tomography velocity and the modeling of anisotropic parameter,improving the accuracy of inversion further,and has a good application prospect.
出处
《天然气地球科学》
EI
CAS
CSCD
北大核心
2017年第11期1771-1777,共7页
Natural Gas Geoscience
基金
国家自然科学基金项目"基于石油勘探中地震面波信息的近地表参数反演方法研究"(编号:41374123)
国家自然科学基金项目"基于微地震数据的致密油气储层裂纹演化分形特征研究"(编号:41504097)
国家科技重大专项项目"复杂目标多尺度资料高精度处理关键技术研究"(编号:2016ZX05006-002-03)联合资助
关键词
VTI介质
走时层析
敏感核函数
整形正则化
参数建模
VTI media
Travel tomographic
Sensitivity kernel functions
Shaping regularization
Parameter modeling
