为了更好利用叠加式双阻尼振荡模型(ABDOM,Accumulative Bi-Damped Os-cillation Model)来描述、预测和评估真实软件缺陷发现时序过程,在提出理想软件缺陷发现时序过程范型(ISPSDD,Ideal Sequential Process of Software Defects Discov...为了更好利用叠加式双阻尼振荡模型(ABDOM,Accumulative Bi-Damped Os-cillation Model)来描述、预测和评估真实软件缺陷发现时序过程,在提出理想软件缺陷发现时序过程范型(ISPSDD,Ideal Sequential Process of Software Defects Discovery)的基础上,对AB-DOM中软件缺陷发现阻尼a和软件缺陷发现周期阻尼b的规范化进行了进一步讨论,提出了软件缺陷发现时序过程质量评价指数Q,给出了其典型取值和相关意义,并将其引入ABDOM,最终得到了经过参数规范化和离散化改进后的ABDOM-Qd,并利用一个真实的工程实践项目数据对ABDOM-Qd进行了验证.展开更多
In transversely isotropic media with a vertical symmetry axis （VTI）, the converted-wave （C-wave） moveout over intermediate-to-far offsets is determined by four parameters. These are the C-wave stacking velocity Vc...In transversely isotropic media with a vertical symmetry axis （VTI）, the converted-wave （C-wave） moveout over intermediate-to-far offsets is determined by four parameters. These are the C-wave stacking velocity Vc2 , the vertical and effective velocity ratios γ0 and γeff, and the anisotropic parameter χeff. We refer to the four parameters as the C-wave stacking velocity model. The purpose of C-wave velocity analysis is to determine this stacking velocity model. The C-wave stacking velocity model Vc2, γ0, γeff, and χeff can be determined from P-and C-wave reflection moveout data. However, error propagation is a severe problem in C-wave reflection-moveout inversion. The current short-spread stacking velocity as deduced from hyperbolic moveout does not provide sufficient accuracy to yield meaningful inverted values for the anisotropic parameters. The non-hyperbolic moveout over intermediate-offsets （x/z from 1.0 to 1.5） is no longer negligible and can be quantified using a background γ. Non-hyperbolic analysis with a γ correction over the intermediate offsets can yield Vc2 with errors less than 1% for noise free data. The procedure is very robust, allowing initial guesses of γ with up to 20% errors. It is also applicable for vertically inhomogeneous anisotropic media. This improved accuracy makes it possible to estimate anisotropic parameters using 4C seismic data. Two practical work flows are presented for this purpose： the double-scanning flow and the single-scanning flow. Applications to synthetic and real data show that the two flows yield results with similar accuracy but the single-scanning flow is more efficient than the double-scanning flow.展开更多
文摘为了更好利用叠加式双阻尼振荡模型(ABDOM,Accumulative Bi-Damped Os-cillation Model)来描述、预测和评估真实软件缺陷发现时序过程,在提出理想软件缺陷发现时序过程范型(ISPSDD,Ideal Sequential Process of Software Defects Discovery)的基础上,对AB-DOM中软件缺陷发现阻尼a和软件缺陷发现周期阻尼b的规范化进行了进一步讨论,提出了软件缺陷发现时序过程质量评价指数Q,给出了其典型取值和相关意义,并将其引入ABDOM,最终得到了经过参数规范化和离散化改进后的ABDOM-Qd,并利用一个真实的工程实践项目数据对ABDOM-Qd进行了验证.
基金This work is funded by the Edinburgh Anisotropy Project of the British Geological Survey.
文摘In transversely isotropic media with a vertical symmetry axis （VTI）, the converted-wave （C-wave） moveout over intermediate-to-far offsets is determined by four parameters. These are the C-wave stacking velocity Vc2 , the vertical and effective velocity ratios γ0 and γeff, and the anisotropic parameter χeff. We refer to the four parameters as the C-wave stacking velocity model. The purpose of C-wave velocity analysis is to determine this stacking velocity model. The C-wave stacking velocity model Vc2, γ0, γeff, and χeff can be determined from P-and C-wave reflection moveout data. However, error propagation is a severe problem in C-wave reflection-moveout inversion. The current short-spread stacking velocity as deduced from hyperbolic moveout does not provide sufficient accuracy to yield meaningful inverted values for the anisotropic parameters. The non-hyperbolic moveout over intermediate-offsets （x/z from 1.0 to 1.5） is no longer negligible and can be quantified using a background γ. Non-hyperbolic analysis with a γ correction over the intermediate offsets can yield Vc2 with errors less than 1% for noise free data. The procedure is very robust, allowing initial guesses of γ with up to 20% errors. It is also applicable for vertically inhomogeneous anisotropic media. This improved accuracy makes it possible to estimate anisotropic parameters using 4C seismic data. Two practical work flows are presented for this purpose： the double-scanning flow and the single-scanning flow. Applications to synthetic and real data show that the two flows yield results with similar accuracy but the single-scanning flow is more efficient than the double-scanning flow.
