基于矩阵Toeplitz稀疏分解的相对波阻抗反演方法

针对利用地震道进行相对波阻抗反演中遇到的横向连续性难以保持、初始子波容错度差以及随机噪声干扰影响反演结果等问题,提出了一种基于矩阵Toeplitz稀疏分解的相对波阻抗反演方法.该方法将地震数据剖面的Toeplitz稀疏分解问题分解为两个子反演问题,其一以Toeplitz子波矩阵元素为待反演的参数,用Fused Lasso方法求解,可保证子波具有紧支集且是光滑的;其二以稀疏反射系数矩阵元素为待反演参数,用基于回溯的快速萎缩阈值迭代算法求解,大大降低了目标函数中参数选择的难度.通过交替迭代求解上述两个子反演问题可将地震数据剖面因式分解为一个Toeplitz子波矩阵和一个稀疏反射系数矩阵;然后由反射系数矩阵递推反演可以得到高分辨率的相对波阻抗剖面;利用测井资料加入低频分量后,也可得到高分辨率的绝对波阻抗剖面.Marmousi2模型生成的合成记录算例和实际地震资料算例均表明:本文方法可以从带限地震数据中有效地反演相对波阻抗,反演结果分辨率高并且能够很好地保持地震数据的横向连续性;即使在初始估计子波存在误差和地震数据被随机噪声污染的情况下也能取得较好的效果.     

基于高维连续小波变换的地震资料不连续性检测方法研究

断层等不连续性结构的检测在地震勘探中具有重要的意义.本文简单介绍了高维连续小波变换的基本理论,包括:高维连续小波变换的定义、高维小波变换系数的切片以及快速实现方法等,利用典型的合成信号说明了高维连续小波变换具有更好的方向选择性(相比于常用的高维张量积小波变换),将高维连续小波变换引入地震资料不连续性检测,并提出了利用小尺度高维连续小波变换系数检测地震资料不连续性的方法,同时给出了方法的实现流程.合成信号以及实际三维地震数据处理效果验证了本文所提方法的有效性.     

Seismic imaging of deep hydrocarbon reservoirs

This paper examines those aspects of reflection seismology which require special consideration when imaging deeper hydrocarbon reservoirs, including the constraints imposed by vertical resolution, lateral resolution, and velocity analysis. We derive quantitative expressions relating the uncertainties in stacking velocities and in interval velocities derived from stacking velocities to acquisition parameters, as well as expressions for the lateral resolution which can theoretically be achieved for migrated seismic images. This analysis shows that the most significant limitations of seismic imaging at depth involve the finite lateral resolution of the seismic method, and the proper lateral positioning of seismic images. These difficulties are overcome in large measure through the proper migration of a seismic dataset, which becomes more critical as deeper horizons are imaged. If these horizons are suspected of having significant 3-D structure, a strong argument may be made for acquiring a 3-D seismic survey over the prospect. Migration of this dataset will then generate an image of the subsurface with good lateral resolution in both the X and Y directions.     

WAVELET ESTIMATION USING THE MULTITAPER METHOD1

An accurate estimate of the seismic wavelet on a seismic section is extremely important for interpretation of fine details on the section and for estimation of acoustic impedance. In the absence of well-control, the recognized best approach to wavelet estimation is to use the technique of multiple coherence analysis to estimate the coherent signal and its amplitude spectrum, and thence construct the seismic wavelet under the minimum-phase assumption. The construction of the minimum-phase wavelet is critically dependent on the decay of the spectrum at the low-frequency end. Traditional methods of cross-spectral estimation, such as frequency smoothing using a Papoulis window, suffer from substantial side-lobe leakage in the areas of the spectrum where there is a large change of power over a relatively small frequency range. The low-frequency end of the seismic spectrum (less than 4 Hz) decays rapidly to zero. Side-lobe leakage causes poor estimates of the low-frequency decay, resulting in degraded wavelet estimates. Thomson's multitaper method of cross-spectral estimation which suffers little from side-lobe leakage is applied here, and compared with the result of using frequency smoothing with the Papoulis window. The multitaper method seems much less prone to estimating spuriously high coherences at very low frequencies. The wavelet estimated by the multitaper approach from the data used here is equivalent to imposing a low-frequency roll-off of some 48 dB/oct (below 3.91 Hz) on the amplitude spectrum. Using Papoulis smoothing the equivalent roll-off is only about 36 dB/oct. Thus the multitaper method gives a low-frequency decay rate of the amplitude spectrum which is some 4 times greater than for Papoulis smoothing. It also gives more consistent results across the section. Furthermore, the wavelet obtained using the multi-taper method and seismic data only (with no reference to well data) has more attractive physical characteristics when compared with a wavelet extracted using well data, than does an estimate using traditional smoothing.     

Multi-trace basis-pursuit seismic inversion for resolution enhancement

Seismic inversion is an important tool that transfers interface information of seismic data to formation information, which renders the seismic data easily understood by geologists or petroleum engineers. In this study, a novel multi-trace basis-pursuit inversion method based on the Bayesian theory is proposed to enhance the vertical resolution and overcome the lateral instability of inversion results between different traces occasionally seen in the traditional trace-by-trace basis-pursuit inversion method. The Markov process is initially introduced to describe the relationship between adjacent seismic traces and their correlation, which we then close couple in the equation of our new inversion method. A recursive function is further derived to simplify the inversion process by considering the particularity of the coefficient matrix in the multi-trace inversion equation. A series of numerical-analysis and field data examples demonstrates that both the traditional and the new methods for P-wave impedance inversion are helpful in enhancing the resolution of thin beds that are usually difficult to discern from original seismic profiles, thus highlighting the importance of acoustic-impedance inversion for thin bed interpretation. Furthermore, in addition to yielding thin bed inversion results with enhanced lateral continuity and high vertical resolution, our proposed method is robust to noise and cannot be easily contaminated by it, which we verify using both synthetic and field data.     

基于共聚焦点道集的叠前深度偏移

共聚焦点(CFP)偏移技术是一种基于等时原理,将Kirchhoff积分法的一步偏移分两步聚焦（即激发聚焦和检波聚焦）来完成的叠前地震成像方法.该方法借助于逆时聚集算子和共聚焦点道集来实现叠前偏移成像.基于共聚焦点道集的叠前深度偏移是把基于共炮集的深度偏移的算法引入到CFP技术上来,基于波场延拓的理论来实现偏移成像,该方法首先生成共聚焦点道集,然后基于面炮合成的理论合成聚焦震源,最终通过相关成像来实现叠前偏移成像.该方法选取较少的聚焦点就可以实现对于地下构造的偏移成像,和炮域波动方程偏移相比,其计算效率得到了提高.通过模型试算和实际资料的试处理,验证了该方法在实现叠前深度偏移成像上的正确性和有效性.     

Velocity anisotropy characteristics and pre-stack time migration imaging of the marine sedimentary strata in the South Yellow Sea Basin

The South Yellow Sea is a superimposed basin overlying Mesozoic-Cenozoic continental sediments, which in turn overlie Paleozoic-Mesozoic marine deposits that are now the target of hydrocarbon exploration. Strongly modified by multiple tectonic events, the marine sediments feature a large tectonic relief, with obvious horizontal anisotropy in seismic velocity, which significantly affects the seismic image quality. In this study, the sedimentary velocity anisotropy and its influence on image quality were analyzed using an analytical theory method, assuming transversely isotropic medium with vertical axis of symmetry (VTI), and using seismic and well-log data. Additionally, an anisotropic prestack time migration was used for the imaging of the field data. The results showed that the anisotropic pre-stack time migration processing could be used to significantly improve the accuracy of the seismic images in areas with distinct faults, offering clear images of accurately located fault planes and fault edges, thereby improving the lateral resolution of the seismic data and its signal-to-noise ratio.     

Application of the continuous wavelet transform on seismic data for mapping of channel deposits and gas detection at the CO2SINK site, Ketzin, Germany

Conventional seismic data are band limited and therefore, provide limited geological information. Every method that can push the limits is desirable for seismic data analysis. Recently, time‐frequency decomposition methods are being used to quickly extract geological information from seismic data and, especially, for revealing frequency‐dependent amplitude anomalies. Higher frequency resolution at lower frequencies and higher temporal resolution at higher frequencies are the objectives for different time‐frequency decomposition methods. Continuous wavelet transform techniques, which are the same as narrow‐band spectral analysis methods, provide frequency spectra with high temporal resolution without the windowing process associated with other techniques. Therefore, this technique can be used for analysing geological information associated with low and high frequencies that normally cannot be observed in conventional seismic data. In particular, the continuous wavelet transform is being used to detect thin sand bodies and also as a direct hydrocarbon indicator. This paper presents an application of the continuous wavelet transform method for the mapping of potential channel deposits, as well as remnant natural gas detection by mapping low‐frequency anomalies associated with the gas. The study was carried out at the experimental CO₂ storage site at Ketzin, Germany (CO₂SINK). Given that reservoir heterogeneity and faulting will have significant impact on the movement and storage of the injected CO₂, our results are encouraging for monitoring the migration of CO₂ at the site. Our study confirms the efficiency of the continuous wavelet transform decomposition method for the detection of frequency‐dependent anomalies that may be due to gas migration during and after the injection phase and in this way, it can be used for real‐time monitoring of the injected CO₂ from both surface and borehole seismics.     

地下复杂介质地震处理中的CFP技术

要简要介绍CFP(Common Focus Point)方法技术的基本原理和主要应用。CFP是复杂介质地震处理中的一项新技术，它把叠前偏移分成两个独立的步骤：首先对检波点(炮点)进行聚焦处理，产生共聚焦点道集(CFP道集)，然后再对炮点(检波点)进行聚焦，产生叠前偏移的输出。两个步骤中间的CFP道集则可以进行其它处理。如果是为了寻找构造信息，那么可以应用共焦点CFP偏移；如果是为了寻找岩石、孔隙或流体的信息，则要应用双焦点CFP偏移。目前，该技术主要应用于：(1)CFP两步聚焦法偏移；(2)叠前深度偏移速度模型的建立；(3)试图通过算于而不是速度来解决复杂地表的静校正；(4)消除全程或层间多次波；(5)CFP方法基准面的延拓和盐下成像；(6)多分量地震资料的偏移成像。     

基于小波分频叠前相干噪声压制方法

基于小波分析的去噪方法在地震资料叠前处理中得到了广泛应用.本文主要介绍利用小波变换的分频特性来压制相干噪声.通过小波分频技术将叠前地震信号分解为不同频带,然后利用有效波和相干干扰波的频谱差异来区分有效信号和噪声,最后利用加权方法去掉不需要的噪声信息来达到去除相干噪声的目的.实际资料的处理结果表明：基于小波分频方法能很好地压制相干噪声,从而提高地震资料信噪比和分辨率.     

偏移成像中的垂直分辨率

Kirchhoff真振幅偏移研究表明,偏移对地震子波具有拉伸作用,拉伸程度与地震波速度、反射角和地层倾角有关.子波拉伸将改变子波宽度(子波延续长度),对垂直分辨率有重要影响.本文通过对衰减Sinc子波的实际计算,分析了地震波速度、反射角和地层倾角分别与子波宽度的关系.从分析来看,陡倾角和大反射角（大炮检距）造成偏移成像垂直分辨率严重下降.高主频子波对各参数均有较低敏感度.     

Seismic endoscopy: multi-offset multi-azimuth imaging around boreholes – data processing and experimental results

An acoustic method, called seismic endoscopy, able to perform 3D imaging around shallow-depth boreholes is presented. A probe, composed of an isotropic source and a directional receiver working in the 20–100 kHz frequency range, provides images of cylindrical volumes having radii of a few metres, with an accuracy of centimetres and 25° azimuthal directivity. In order to obtain clear images of the medium discontinuities, multi-offset and multi-azimuth data acquisition allows specific algorithms to be used to determine vertical directivity correction, azimuthal focusing and reflected wave enhancement by cancellation of the tube waves. The method is tested with data acquired in an acoustic tank and with synthetic data. Initial experimental results at a test site demonstrate the performance of the seismic endoscopy probe.     

同时震源数据的加权结构增强最小二乘逆时偏移

同时震源（Simultaneous-source,SS）地震采集技术能有效地提高地震数据采集效率,但直接对SS混合数据偏移成像会在最后的成像剖面中引入很强的串扰噪声.将SS数据偏移成像看作一个反演问题,利用最小二乘（Least-squares,LS）求解是压制SS直接成像中串扰噪声的一种有效尝试.构造增强滤波（Structure-enhancing filter,SE）约束的最小二乘逆时偏移（LSRTM）方法可以有效地压制SS数据成像中的串扰噪声,但SE实质为低通滤波,会将成像中的陡倾角等细节信息平滑涂抹,降低成像分辨率.本文在利用SE对LSRTM约束的基础上,提出了基于加权构造增强约束的LSRTM方法（WSE-LSRTM）并应用于SS数据的反演成像中.该方法不仅能够有效地压制串扰噪声（cross-talk）、保留结构信息,而且可以保护成像中的陡倾角结构不被过度平滑而破坏.在对简单模型和复杂Marmousi模型的数值测试中,该方法都取得了良好的效果.     

Semi-automatic fault/fracture interpretation based on seismic geometry analysis

Fault and fracture interpretation is a fundamental but essential tool for subsurface structure mapping and modelling from 3D seismic data. The existing methods for semi-automatic/automatic fault picking are primarily based on seismic discontinuity analysis that evaluates the lateral changes in seismic waveform and/or amplitude, which is limited by its low resolution on subtle faults and fractures without apparent vertical displacements in seismic images. This study presents an innovative workflow for computer-aided fault/fracture interpretation based on seismic geometry analysis. First, the seismic curvature and flexure attributes are estimated for highlighting both the major faults and the subtle fractures in a seismic volume. Then, fault probability is estimated from the curvature and flexure volumes for differentiation between the potential faults and non-faulting features in the geometric attributes. Finally, the seeded fault picking is implemented for interpreting the target faults and fractures guided by the knowledge of interpreters to avoid misinterpretation and artefacts in the presence of faulting complexities as well as coherent seismic noises. Applications to two 3D seismic volumes from the Netherlands North Sea and the offshore New Zealand demonstrate the added values of the proposed method in imaging and picking the subtle faults and fractures that are often overlooked in the conventional seismic discontinuity analysis and the following fault-interpretation procedures.     

地震道空间分辨力研究

在高分辨率地震勘探中，除了了解子波特性对分辨力的影响外，研究地震道在空间任意方向的分辨力变化规律同样是非常重要的.受分辨力估算方法的局限性，除垂直分辨力和水平分辨力外，目前对于空间任意空间方向分辨力变化的研究很少.本文分析了微分法分辨力和广义空间分辨力估算公式的异同.并利用广义空间分辨力公式分析了分辨力随炮检距、观测点位置、深度的变化规律及其内在本质.与此同时，对广义空间分辨力概念进行了图形解释，揭示了其实质.这对于更好地理解和运用广义空间分辨力计算公式具有重要的意义.     

广义S变换与薄互层地震响应分析

Stockwell等人提出的S变换虽然与Fourier谱能保持直接联系，然而，由于S变换中的基本小波不适用于地震资料处理. 为此本文采用两个步骤对S变换加以推广，得到两种新变换（统称为广义S变换）. 首先， 用带有4个待定参数的调幅简谐波来代替S变换中的基本小波,定义广义S变换1，给出对应的逆变换；然后，以第一步中的基本小波的线性组合为新的基本小波，定义广义S变换2，并构造其逆变换公式. 最后，分别使用S变换及广义S变换对几种典型的薄互层模型进行分析计算. 结果表明，后者比前者有更强的探测能力， 后者可准确地确定厚度为1/8波长的薄互层中波阻抗界面位置，但前者却不能. 文中还用实际资料处理的结果，证明了广义S变换方法的有效性.     

The effect of gauge length on axially incident P‐waves measured using fibre optic distributed vibration sensing

Distributed vibration sensing, also known as distributed acoustic sensing, is a relatively new method for recording vertical seismic profile data using a fibre optic cable as the sensor. The signal obtained from such systems is a distributed measurement over a length of fibre referred to as the gauge length. In this paper, we show that gauge length selection is one of the most important acquisition parameters for a distributed vibration sensing survey. If the gauge length is too small, then the signal‐to‐noise ratio will be poor. If the gauge length is too large, resolution will be reduced and the shape of the wavelet will be distorted. The optimum gauge length, as derived here, is a function of the velocity and frequencies of the seismic waves being measured. If these attributes vary considerably over the depth of a survey, then the use of different gauge lengths is recommended. The significant increases in data quality resulting from the use of multiple gauge length values are demonstrated using field data.     

等效偏移距偏移方法在声波反射成像测井中的应用研究(英文)

声波反射成像测井能够获得井眼周围构造的重要信息,然而,由于接收到的反射波信号远小于井眼模式波、信噪比较低,且每次发射只有8道接收,因此应用常规的偏移成像处理方法成像效果不好。本文应用一种基于散射理论的等效偏移距偏移方法,对声波反射成像测井模拟数据及现场数据进行偏移处珲。结果表明,与常规叠后深度偏移方法相比,等效偏移距方法可以有效提高覆盖次数,对于低信噪比的声波反射测井资料可以获得较好的井旁构造成像效果。     

城市活断层的抗干扰高分辨率浅层地震勘探研究

首先，简要介绍了城市活断层探测的意义及世界各国开展城市活断层探测的基本情况。在简述抗干扰高分辨率浅层地震勘探基本原理的基础上，重点论述了城市活断层的抗干扰高分辨率浅层地震勘探的震源激发、数字地震仪性能、接收方式与接收条件、观测系统以及数据处理与资料解释等。研究表明，对于城市活断层的抗干扰高分辨率浅层地震勘探，在数据采集环节应采用具有线性或非线性变频扫描功能的可控震源和与其相匹配的地震仪器，以及小道间距、小偏移距、多接收道、短排列和高频检波器接收的工作方法；在数据处理与解释环节，要重视折射静校正技术、噪声压制技术、高精度速度分析技术、子波压缩技术、子波零相位化技术和叠前偏移技术等的应用。最后，给出了城市活断层的抗干扰高分辨率浅层地震勘探实例。     

HFE在提高地震数据分辨率中的应用

提高地震数据分辨率是地震勘探中获得高质量数据的关键,而分辨率与信噪比的相互制约关系是高分辨率处理的根本问题。本文基于反褶积的基本原理,采用压缩子波的方法,对原始地震数据进行高频拓展法(High Frequency Expanding,HFE)处理。通过测试子波压缩参数,分析研究可选参数对地震资料分辨率和保真度的影响,确定最佳处理参数,并应用于实际地震资料处理中。应用结果表明,HFE处理后的地震资料,其品质得到了明显的改善,处理后的剖面弱反射带层间细节反射更为丰富,横向变化清晰,频带变宽,分辨率得到了很大提高。