Instantaneous polarization attributes in the time–frequency domain and wavefield separation

We introduce a method of wavefield separation from multicomponent data sets based on the use of the continuous wavelet transform. Our method is a further generalization of the approach proposed by Morozov and Smithson, in that by using the continuous wavelet transform, we can achieve a better separation of wave types by designing the filter in the time–frequency domain. Furthermore, using the instantaneous polarization attributes defined in the wavelet domain, we show how to construct filters tailored to separate different wave types (elliptically or linearly polarized), followed by an inverse wavelet transform to obtain the desired wave type in the time domain. Using synthetic and experimental data, we show how the present method can be used for wavefield separation.     

Filter formulation and wavefield separation of cross-well seismic data

Multichannel filtering to obtain wavefield separation has been used in seismic processing for decades and has become an essential component in VSP and cross-well reflection imaging. The need for good multichannel wavefield separation filters is acute in borehole seismic imaging techniques such as VSP and cross-well reflection imaging, where strong interfering arrivals such as tube waves, shear conversions, multiples, direct arrivals and guided waves can overlap temporally with desired arrivals. We investigate the effects of preprocessing (alignment and equalization) on the quality of cross-well reflection imaging wavefield separation and we show that the choice of the multichannel filter and filter parameters is critical to the wavefield separation of cross-well data (median filters, f–k pie-slice filters, eigenvector filters). We show that spatial aliasing creates situations where the application of purely spatial filters (median filters) will create notches in the frequency spectrum of the desired reflection arrival. Eigenvector filters allow us to work past the limits of aliasing, but these kinds of filter are strongly dependent on the ratio of undesired to desired signal amplitude. On the basis of these observations, we developed a new type of multichannel filter that combined the best characteristics of spatial filters and eigenvector filters. We call this filter a ‘constrained eigenvector filter’. We use two real data sets of cross-well seismic experiments with small and large well spacing to evaluate the effects of these factors on the quality of cross-well wavefield separation. We apply median filters, f–k pie-slice filters and constrained eigenvector filters in multiple domains available for these data sets (common-source, common-receiver, common-offset and common-midpoint gathers). We show that the results of applying the constrained eigenvector filter to the entire cross-well data set are superior to both the spatial and standard eigenvector filter results.     

高保真VSP波场分离方法研究

三维VSP资料中,各种不同类型的波混杂一起形成复杂的波场.因此,波场分离是三维VSP数据处理关键的第一步.从不同波场的偏振方向和传播方向之差异着手,提出了一种高保真的VSP波场分离方法.首先通过射线追踪和偏振滤波的结合,把复杂波场(分解为简单波场;然后根据简单波场中不同波的传播方向截然相反的特点,进行方向滤波,达到波场分离的目的.实际数据处理表明,与常规波场分离方法相比,本方法大大降低了混波作用以及由此而生的波形畸变.     

EFFICIENT MULTICHANNEL FILTERING OF SEISMIC DATA1

Multichannel filters are used to eliminate coherent noise from surface seismic data, for wavefield separation from VSP stacks, and for signal enhancement. Their success generally depends on the choice of the filter parameters and the domain of application. Multichannel filters can be applied to shots (monitors), common-receiver traces, CDP traces and stacked sections. Cascaded applications in these domains are currently performed in the seismic industry for better noise suppression and for signal enhancement. One-step shot-domain filtering is adequate for some applications. However, in practice, cascaded applications in shot-and common-receiver domains usually give better results when the S/N ratio is low. Multichannel filtering after stacking (especially after repeated applications in shot and/or receiver domains) may create undesirable results such as artificial continuations, or smearing and smoothing of small features such as small throw faults and fine stratigraphic details. Consequently, multichannel filtering after stacking must be undertaken with the utmost care and occasionally only as a last resort. Multichannel filters with fan-shaped responses (linear moveout filters) should be applied after NMO correction. These are the filters commonly used in the seismic industry where they have such names as velocity filters, moveout filters, f-k filters and coherency filters. Filtering before NMO correction may result in break-up and flattening especially of those shallow reflection events with relatively higher curvatures and diffractions. NMO correction is needed prior to wavefield separation from VSP stacks for the same practical reasons outlined above whenever source-receiver offsets are involved. Creation of artificial lineup and smearing at the outputs of multichannel filters is presently the common practical concern. Optimum multichannel filters with well-defined pass, reject and transition bands overcome the latter problems when applied before stacking and after NMO correction. The trace dimension of these filters must be kept small to avoid such lineups and the smoothing of small structures. Good results can be obtained with only five traces, but seven traces seems to be a better compromise both in surface and well seismic applications. The so-called f-k filtering and τ-p domain filtering are no exceptions to the above practical considerations. Residual static computations after multichannel filtering also need special consideration. Since multichannel filtering improves spatial continuity, residual static algorithms using local correlation, i.e. nonsurface-consistent algorithms, may be impractical especially after multichannel filtering.     

交错网格与旋转交错网格对VTI介质波场分离的影响分析

利用交错网格有限差分和旋转交错网格有限差分进行各向异性介质弹性波场数值模拟时, 质点振动速度分量与应力张量的网格节点定义方式均不相同, 从而对各向异性波场分离效果产生不同的影响. 针对这一问题, 本文以具有垂直对称轴的横向各向同性(VTI)介质的波场分离为例, 首先分析了两种网格的参数定义方式以及VTI介质波场的分离过程; 其次, 详细研究和分析了这两种网格的参数定义方式对各向异性介质波场分离的影响, 并依据波前面连续性以及波场分离效果等方面, 通过数值模拟实验对该影响进行分析验证. 结果表明, 旋转交错网格的参数定义方式更有利于进行各向异性介质波场数值模拟和波场分离.      

基于改进线性Radon变换的井孔地震上下行波场分离方法

反射波场分离是井孔地震资料处理中极其重要的一个环节,波场分离的质量直接影响成像结果的精度.不管是VSP还是井间地震资料,其反射波时距曲线都近似直线型,根据这一特征,本文提出一种改进的线性Radon变换方法来进行井孔资料的反射波上下行波场分离.该方法基于频率域线性Radon变换,通过引入一个新的变量λ来消除变换算子对频率的依赖性,避免了求取每一频率分量对应的不同变换算子,显著降低了计算成本;文中在求解该方法对应的最小二乘问题时,引入了发展较为成熟的高分辨率Radon变换技术来进一步提高波场分离的精度.采用本文方法进行井孔地震资料的上下行波场分离可以在保证分离精度的前提下有效地提高计算效率.根据上下行波在λ-f域内分布的特殊性,设计简单的滤波算子就可实现上下行波场的分离.最后通过合成数据试算以及实际资料处理（VSP数据和井间地震数据）验证了该方法的可行性和有效性.     

交错网格中基于波数域插值的波场分离方法研究（英文）

应用多分量地震资料进行成像时通常需要先做波场分离,然后再对分离的波型进行成像。其中,波场分离可以在空间域或波数域实现。然而,由于用交错网格有限差分进行弹性波场数值模拟时,用来进行波数域波场分离的质点振动速度分量定义在不同网格节点上,本文提出了利用波数域插值方法来估算同一网格节点所需质点振动速度值;进而给出了先进行波数域插值后进行波场分离的波数域保幅波场分离方案。数值实验结果表明波数域插值方法具有较高的插值精度且保幅波场分离方法具有较好的保幅性,将本文方法进一步应用于弹性波逆时偏移可以获得保幅性较好的成像结果且对存在一定程度速度误差情况具有较好的适应性。     

基于广义Curvelet变换和相空间特征聚类的VSP波场分离方法

垂直地震剖面(Vertical Seismic Profiling, VSP)蕴含大量的地层地质信息, 是连接地震反射数据与测井资料之间的桥梁.VSP数据分辨率高, 资料丰富, 包括上行波、下行波、转换波等多种类型的波场, 常被用于地层反射界面标定、介质衰减参数反演等.其中, 如何有效地分离波场是将VSP资料应用于油气勘探的关键之一.广义Curvelet变换是一种具有多尺度、多角度的相空间变换, 能够进行相空间域波场特性的提取.本文聚焦于VSP波场的上下行波分离问题, 提出一种基于广义Curvelet变换和相空间特征聚类方法.首先, 采用广义Curvelet变换对VSP波场进行特征提取, 构造融入相空间角度信息的特征数据集; 然后, 利用K-means聚类算法在相空间对波场特征进行分类; 最后, 对分类结果进行反变换, 完成VSP上下行波波场的自适应分离.为了验证方法的有效性, 本文将所提出的方法用于合成数据和实际VSP数据的波场分离, 并与常用的基于F-K变换的波场分离方法进行对比.处理结果表明, 本文方法角度分辨率高、抗噪能力强, 波场分离结果的保真保幅性好, 这为后续的成像与地层的特征分析提供了重要基础资料.

     

Median filter behaviour with seismic data1

Median filters may be used with seismic data to attenuate coherent wavefields. An example is the attenuation of the downgoing wavefield in VSP data processing. The filter is applied across the traces in the ‘direction’ of the wavefield. The final result is given by subtracting the filtered version of the record from the original record. This method of median filtering may be called ‘median filtering operated in subtraction’. The method may be extended by automatically estimating the slowness of coherent wavefields on a record. The filter is then applied in a time- and-space varying manner across the record on the basis of the slowness values at each point on the record. Median filters are non-linear and hence their behaviour is more difficult to determine than linear filters. However, there are a number of methods that may be used to analyse median filter behaviour: (1) pseudo-transfer functions to specific time series; (2) the response of median filters to simple seismic models; and (3) the response of median filters to steps that simulate terminating wavefields, such as faults on stacked data. These simple methods provide an intuitive insight into the behaviour of these filters, as well as providing a semiquantitative measurement of performance. The performance degradation of median filters in the presence of trace-to-trace variations in amplitude is shown to be similar to that of linear filters. The performance of median filters (in terms of signal distortion) applied obliquely across a record may be improved by low-pass filtering (in the t-dimension). The response of median filters to steps is shown to be affected by background noise levels. The distortion of steps introduced by median filters approaches the distortion of steps introduced by the corresponding linear filter for high levels of noise.     

Elastic wave mode separation for tilted transverse isotropy media

Seismic waves propagate through the earth as a superposition of different wave modes. Seismic imaging in areas characterized by complex geology requires techniques based on accurate reconstruction of the seismic wavefields. A crucial component of the methods in this category, collectively known as wave‐equation migration, is the imaging condition that extracts information about the discontinuities of physical properties from the reconstructed wavefields at every location in space. Conventional acoustic migration techniques image a scalar wavefield representing the P‐wave mode, in contrast to elastic migration techniques, which image a vector wavefield representing both the P‐ and S‐waves. For elastic imaging, it is desirable that the reconstructed vector fields are decomposed into pure wave modes, such that the imaging condition produces interpretable images, characterizing, for example, PP or PS reflectivity. In anisotropic media, wave mode separation can be achieved by projection of the reconstructed vector fields on the polarization vectors characterizing various wave modes. For heterogeneous media, because polarization directions change with position, wave mode separation needs to be implemented using space‐domain filters. For transversely isotropic media with a tilted symmetry axis, the polarization vectors depend on the elastic material parameters, including the tilt angles. Using these parameters, we separate the wave modes by constructing nine filters corresponding to the nine Cartesian components of the three polarization directions at every grid point. Since the S polarization vectors in transverse isotropic media are not defined in the singular directions, e.g., along the symmetry axes, we construct these vectors by exploiting the orthogonality between the SV and SH polarization vectors, as well as their orthogonality with the P polarization vector. This procedure allows one to separate all three modes, with better preserved P‐wave amplitudes than S‐wave amplitudes. Realistic synthetic examples show that this wave mode separation is effective for both 2D and 3D models with strong heterogeneity and anisotropy.     

虚拟波场降速条件下电性源瞬变电磁垂直磁场分量的波场反变换方法

通过波场反变换从瞬变电磁信号中提取虚拟波场是定位电性界面和刻画地下导电目标形态的有效手段.波场反变换过程中, 降低虚拟波场速度有利于改善虚拟波场对电性界面的分辨能力.然而, 波场变换核函数随时间、虚拟时间以及虚拟波场速度变化的动态范围极大, 且随虚拟波场降速而进一步扩大, 造成波场反变换问题高度不适定, 制约了虚拟波场提取的精度和效果.对此, 在虚拟波场降速的条件下, 本文以核函数在无穷区间上积分的解析解为准绳, 通过最优化与数据拟合得到了经验公式, 确定了波场反变换所需的最优积分区间; 在适应采集时间与虚拟波场速度的同时, 最大限度缩短了积分区间长度, 降低了核函数变化的动态范围, 压制了波场反变换方程的病态程度.此外, 通过引入精细积分方法求解波场反变换方程, 提高了波场反变换方程的求解精度.为验证方法的有效性与可靠性, 对正演模拟的电性源瞬变电磁垂直磁场分量及其时间导数分量进行了波场反变换; 结果回代后的拟合数据与正演数据的相对误差小于5%.在所提取的虚拟波场记录中观察到了合理的运动学特征, 如实反映了低阻目标层深度、厚度和二次场观测时间范围的变化.在计算条件相同的前提下, 通过降低虚拟波场速度, 改善了波场反变换的精度和效果.降速后提取的虚拟波场记录对低阻层上下界面的刻画更为清晰.在对实测数据的处理中, 本文的虚拟波场降速、积分区间最优化和精细积分求解方法得到了合理可信的虚拟波场提取结果, 为进一步利用虚拟波场开展低阻目标体成像提供了数据保障.

     

基于解析时间波场外推与波场分解的逆时偏移方法研究

双程波方程逆时深度偏移是复杂介质高精度成像的有效技术, 但其结果中通常包含成像方法引起的噪音和假象, 一般的滤波方法会破坏成像剖面上的振幅, 其中的假象也会给后续地质解释带来困扰.将波场进行方向分解然后实现入射波与反射波的相关成像能够有效地消除这类成像噪音, 并提高逆时偏移成像质量.波传播方向的分解通常在频率波数域实现, 它会占用大量的存储和计算资源, 不便于在沿时间外推的逆时深度偏移中应用.本文提出解析时间波场外推方法, 可以在时间外推的每个时间片上实现波传播方向的显式分解, 逆时深度偏移中利用分解后的炮检波场进行对应的相关运算, 实现成像噪音和成像信号的分离.在模型和实际数据上的测试表明, 相比于常规互相关逆时偏移成像结果, 本文方法能够有效地消除低频成像噪音和特殊地质构造导致的成像假象.     

多尺度τ-p谱及其应用

把小波变换与τ-ｐ变换有机地结合起来,本文提出了多尺度τ-ｐ谱的概念,给出了基于多尺度τ-ｐ谱作滤波处理和波场分离的方法．与通常的τ-ｐ变换相比,该方法将x－t域的地震记录变换到（τ,p,a）或（τ,p,f）空间（即多尺度τ-ｐ谱）．多尺度τ-ｐ谱比通常τ-ｐ谱增加了一维,因此用于波场分离或去噪,前者优于后者．若恰当地选择小波函数,该方法抗噪能力强,计算精度高．文中给出了模型及实际地震资料处理实例;证明了此方法的有效性．     

Reverse time migration of ground-penetrating radar with full wavefield decomposition based on the Hilbert transform

The conventional reverse time migration of ground-penetrating radar data is implemented with the two-way wave equation. The cross-correlation result contains low-frequency noise and false images caused by improper wave paths. To eliminate low-frequency noise and improve the quality of the migration image, we propose to separate the left-up-going, left-down-going, right-up-going and right-down-going wavefield components in the forward- and backward-propagated wavefields based on the Hilbert transform. By applying the reverse time migration of ground-penetrating radar data with full wavefield decomposition based on the Hilbert transform, we obtain the reverse time migration images of different wavefield components and combine correct imaging conditions to generate complete migration images. The proposed method is tested on the synthetic ground-penetrating radar data of a tilt-interface model and a complex model. The migration results show that the imaging condition of different wavefield components can highlight the desired structures. We further discuss the reasons for incomplete images by reverse time migration with partial wavefields. Compared with the conventional reverse time migration methods for ground-penetrating radar data, low-frequency noise can be eliminated in images generated by the reverse time migration method with full wavefield decomposition based on the Hilbert transform.     

多尺度τ-p谱及其应用

把小波变换与τ-ｐ变换有机地结合起来,本文提出了多尺度τ-ｐ谱的概念,给出了基于多尺度τ-ｐ谱作滤波处理和波场分离的方法．与通常的τ-ｐ变换相比,该方法将x－t域的地震记录变换到（τ,p,a）或（τ,p,f）空间（即多尺度τ-ｐ谱）．多尺度τ-ｐ谱比通常τ-ｐ谱增加了一维,因此用于波场分离或去噪,前者优于后者．若恰当地选择小波函数,该方法抗噪能力强,计算精度高．文中给出了模型及实际地震资料处理实例;证明了此方法的有效性．     

Quantitative evaluation of crosshole seismic reflection images using physical model data1

Physical models give us a known geometry with which to compare our processed reflection images and therefore our imaging techniques. We show how this comparison may be quantified in order to evaluate processed images properly. A crosshole data set was acquired through a model interrogated at ultrasonic frequencies using Durham University's physical modelling system. Various reflectivity images were obtained using processing sequences which include deconvolution, wavefield separation and migration. An error-energy scheme was used to assess the quality of these images, by comparing them against a best-fit depth model. A synthetic data set was also used to evaluate the imaging capability of the crosshole geometry and the effectiveness of the different processing schemes.     

3D depth migration by rotated McClellan filters1

The application of McClellan transformations considerably reduces the computational cost of 3D wavefield depth extrapolation by explicit convolutional methods. The accuracy of migration methods based on McClellan transformation depends on how well the transformation filter (cos !;κ!;) is approximated; errors in this approximation cause anisotropy in the extrapolation operator and frequency dispersion in the migrated results. The anisotropy can be greatly reduced by rotating the approximate filter by 45° and averaging the rotated filter with the original filter. The application of the rotated filter yields a migration method that correctly images very steep dips, with little or no additional computational cost. McClellan migration with the improved circular response enhances the imaging of synthetic and real data.     

THE ANALYSIS AND DESIGN OF TWO-DIMENSIONAL FILTERS FOR TWO-DIMENSIONAL DATA *

Some of the methods such as regional removal and second derivative calculations which can be used to outline anomalies on potential data maps can be thought of as a filtering operation. The analysis and design of such two-dimensional filters by means of direct and inverse two-dimensional Fourier transforms have been considered. An analysis of several published sets of second derivative coefficient sets indicates that, in general, they are not a good approximation to the theoretical second derivative filter. Alternate methods of designing regional removal and second derivative filters are discussed. The properties of various two-dimensional filters are further illustrated by means of maps obtained from the convolution of several of these filters with a set of observed field data. These maps show the large changes in anomaly shape which can result from the inclusion or rejection of various wavelength components.     

基于两步SVD变换的零偏VSP资料上下行波场分离方法

垂直地震剖面(Vertical Seismic Profiling,VSP)资料处理中波场分离是关键问题之一.随着属性提取技术的发展,新的属性参数(例如Q值)提取技术对波场分离的保真性要求越来越高.本文改进了传统奇异值分解(Singular Value Decomposition,SVD)法,给出了一种对波场的动力学特征具有更好的保真性,可以作为Q值提取的预处理步骤的零偏VSP资料上下行波场分离方法.该方法通过两步奇异值分解变换实现:第一步,排齐下行波同相轴,利用SVD变换压制部分下行波能量;第二步,在剩余波场中排齐上行波同相轴,使用SVD变换提取上行波场.在该方法的实现过程中,压制部分下行波能量后的剩余波场中仍然存在较强的下行波干扰,使得上行波同相轴的排齐比较困难.本文给出了一种通过极大化多道数据线性相关程度(Maximize Coherence,MC)排齐同相轴的算法,在一定程度上解决了低信噪比下排齐同相轴的问题.将本文提出的方法用于合成数据和实际资料的处理,并与传统SVD法的处理结果进行对比,结果表明本文提出的波场分离方法具有良好的保真性,得到波场的质量明显优于传统SVD法.通过对本文方法和传统SVD法处理合成数据得到的下行波场提取Q值,然后进行对比可知,本文方法可以有效提高所提取Q值的准确性,适合作为Q值提取的预处理步骤.     

Common-Reflection-Surface Stack for Converted Waves

The finite-offset (FO) common-reflection-surface (CRS) stack has been shown to be able to handle not only P-P or S-S but also arbitrarily converted reflections. It can provide different stack sections such as common-offset (CO), common-midpoint (CMP) and common-shot (CS) sections with significantly increased signal-to-noise ratio from the multi-coverage pre-stack seismic data in a data-driven way. It is our purpose in this paper to demonstrate the performance of the FO CRS stack on data involving converted waves in inhomogeneous layered media. In order to do this we apply the FO CRS stack for common-offset to a synthetic seismic data set involving P-P as well as P-S converted primary reflections. We show that the FO CRS stack yields convincing improvement of the image quality in the presence of noisy data and successfully extracts kinematic wavefield attributes useful for further analyses. The extracted emergence angle information is used to achieve a complete separation of the wavefield into its P-P and P-S wave components, given the FO CRS stacked horizontal and vertical component sections.