起伏地表下的直接叠前时间偏移

提出了一种新的叠前时间偏移方法和流程,可不必应用野外静校正,直接对起伏地表采集的地震数据进行叠前时间偏移.本文采用输入道成像方式,通过基于稳相点原理给出单道数据的走时和振幅计算方法,发展了一个表驱动的叠前时间偏移算法.偏移方法可依据同相轴是否被拉平确定叠加速度和修正近地表速度模型,也可依据拟成像的构造倾角,自适应地确定偏移孔径;后者既减少了偏移计算量,也压制了偏移噪声.文中用二维起伏地表的断陷盆地模型的理论数据验证了所发展方法的成像效果.     

复杂地表条件下高斯波束叠前深度偏移(英文)

在复杂地表条件的区域,地震数据的采集和处理是一项极大的挑战。虽然可以通过静校正来消除起伏地表的影响,然而当地表高程以及近地表速度剧烈变化时,简单的垂直时移对地震波场造成的畸变会严重降低偏移成像的质量。基于射线的偏移方法可以直接在起伏地表面进行波场的延拓成像,是解决上述问题的有效手段。本文针对复杂地表条件下的高斯波束叠前深度偏移进行研究,对倾斜叠加公式进行修改,使之包含地表高程以及速度的信息,通过直接在复杂地表面进行平面波的合成,得到了一种具有更高成像精度的改进方法。首先简单介绍常规高斯波束偏移的基本原理和计算流程,并以此为基础,给出复杂地表条件下高斯波束偏移原有的实现方法以及本文的改进方法,最后通过模型和实际资料的试算验证本文方法的有效性。     

起伏地表叠前逆时偏移的实现及应用

复杂地表复杂构造是近年来陆上地震勘探的重难点问题.其中,复杂构造成像问题可用叠前深度偏移技术如逆时偏移较好地解决,而地表起伏大、横向变速剧烈引起道间时差大问题则需要采用起伏地表偏移的思路.结合常规地震数据处理,本文提出一种基于起伏面的逆时偏移成像技术流程,该流程利用固定面与平滑起伏面高程差和替换速度将静校正后的叠前炮集反静校正到起伏面上,然后进行起伏面逆时偏移成像计算.将流程应用到模型数据和实际资料处理,结果均表明该流程在复杂地表复杂构造地震成像方面具有很好的效果.     

基于起伏地表的层析速度反演方法研究(英文)

叠前深度偏移速度分析是地震数据处理方法研究的重点,是影响地震成像效果的关键技术之一。对于地表起伏、地下构造复杂的双复杂地区,常规的叠前偏移速度分析方法是将起伏面校正到固定基准面上或进行表层建模再进行偏移与速度分析。本文提出的基于起伏地表的层析速度反演方法从起伏地表直接进行速度场的更新,可以提高层析速度反演的精度与效率。首先介绍基于起伏地表的角度域共成像点道集的提取方法,以此为基础阐述了起伏地表层析速度反演方法。起伏地表模型和实际资料试算验证了本文方法的有效性。     

结合基准面重建的叠前时间偏移方法

提出了一种结合虚拟界面、瑞利积分和相移法的混合的基准面重建方法.通过与叠前时间偏移方法结合,形成了针对起伏地表采集数据的叠前时间偏移方法和新流程.该方法能正确考虑波在近地表传播的实际路径,克服了高速层出露时静校正方法的误差;它也能自己确定虚拟层速度,避免了现行基于波场延拓的基准面重建方法需要准确近地表速度的困难.文中分别用近地表存在明显低速层和近地表有高速层出露这两类模型的理论数据,验证了所发展方法和流程的有效性.     

各向异性叠前深度偏移在K油田的应用

在地震资料处理中,为提高地下地质体成像精度,各向异性叠前偏移已逐渐成为常规处理流程.然而,如何可靠地估算和建立各向异性深度偏移的各向异性参数模型是其成功的关键.针对K油田浅层气和边界大断层对地震成像的不利影响,采用了沿层速度分析和网格层析相接合的速度建模方法、利用已知井的信息求取初始各向异性参数、并通过多次迭代更新各向异性参数和速度模型等方法和处理流程,对K油田三维地震资料进行了各向异性叠前深度偏移处理.与只依靠单一速度参数的各向同性叠前深度偏移相比,各向异性叠前深度偏移利用了地震波垂直传播的相速度和根据井控从地震数据中估算出来的两个各向异性参数.从偏移结果中可以看到,各向异性叠前偏移的成像精度和质量得到明显改善,目的层地震偏移深度与井上分层深度吻合更好,地层信息与测井结果一致性好,边界断层的归位更加准确.     

起伏地表下地震波传播数值模拟方法研究进展

起伏地表是地震数据的采集、处理和解释中普遍遇到的难题.起伏地表下的地震波传播数值模拟,对起伏地表观测的地震资料处理解释有重要意义.地震波场模拟和地震波走时场分别描述地震波的动力学和运动学信息,为研究地震波传播理论的两种重要途径.本文从地震波场和地震波走时场两方面回顾和总结了起伏地表下的地震波传播数值模拟方法的研究进展,并展示了该领域的一些最新研究成果,为使读者能从中找到突破点,为起伏地表这一勘探领域的经典难题做出贡献.     

基于起伏地形平化策略的弹性波逆时偏移成像方法

随着能源和资源勘查开采工作的深入,地形强烈起伏的盆山耦合地区的地震资料处理解释技术正日益成为山地地震勘探面临的重要挑战.逆时偏移方法作为精确的地震偏移成像方法之一,能对地下结构进行高精度成像.逆时偏移的核心是地震波场延拓,由于传统的地震波场延拓技术往往基于水平地表条件,相应的方法在直接处理强地形起伏条件下的地震资料时往往存在一定的精度损失.本文引入一种精度无损的处理起伏边界的模型参数化方法：基于贴体网格的地形"平化"策略发展了与地形有关的地震波波动方程数值模拟方法,采用零延迟归一化互相关成像条件实现了起伏地表条件下的弹性波场逆时偏移成像.对工业界的标准Marmousi模型和盐丘模型进行改造,获得了相应起伏地形条件下的复杂几何模型,开展了起伏地表下的地震偏移成像数值试验.结果表明基于贴体网格"平化"策略的逆时偏移成像方法具有较高的灵活性,可适应不同类型起伏地表采集的地震资料,显示出该方法在地震勘探领域的良好应用前景.     

叠前时间偏移技术在深层断陷区地震成像中的应用

Kirchhoff积分叠前时间偏移应用波动方程的Kirchhoff积分解实现地下反射层的偏移问题,该技术应用所有偏移距的地震资料,能适应纵横向速度变化较大的情况,是复杂地区地震资料成像的较理想的方法.叠前时间偏移是对偏移处理和偏移速度修改的一个迭代过程,偏移速度的精度直接影响到偏移效果.对大庆油田古龙断陷某工区的三维地震资料,应用叠前时间偏移技术进行成像处理,对于埋深较大的目的层,断陷结构复杂,介质的各向异性较为严重,所以应用考虑各向异性参数的速度修改公式,得到较为精确的偏移速度体,进而保证偏移CRP道集拉平,得到成像良好的偏移数据体.实际地震数据偏移处理结果表明叠前时间偏移技术可对复杂构造的地震数据准确成像,可在古龙地区断陷地层勘探中推广应用.     

起伏地表稳相偏移方法及其在准噶尔盆地高密度地震勘探中的应用

稳相偏移方法为基于菲涅耳带的散射叠加偏移方法.叠前时间偏移实践中,稳相偏移对振幅保真、偏移噪声压制、陡倾角构造正确成像以及计算效率提升均有较大帮助.基于浮动基准面假设,提出了起伏地表倾角道集计算方法.菲涅耳带可直观的展示于这一偏移域倾角道集中.采用人机交互拾取菲涅耳带边界后,可在起伏地表叠前时间偏移中结合地震道在成像点的倾角计算,剔除菲涅耳带之外的噪声干扰,从而实现起伏地表稳相偏移技术流程.准噶尔盆地阜东斜坡某试验区的单点高密度数据处理试验表明,起伏地表稳相偏移方法由于提供了空变、时变的偏移孔径,因而可兼顾陡倾角构造成像和偏移噪声的压制.进一步的分析表明,稳相偏移方法可提高单点高密度采集数据高频段信号的信噪比,为结合叠前时间偏移补偿介质对高频信号的吸收效应,提高地震成像的分辨率,进而发挥单点高密度采集数据集的宽频带优势提供重要辅助作用.     

Wave equation datuming applied to marine OBS data and to land high resolution seismic profiling

One key step in seismic data processing flows is the computation of static corrections, which relocate shots and receivers at the same datum plane and remove near surface weathering effects. We applied a standard static correction and a wave equation datuming and compared the obtained results in two case studies: 1) a sparse ocean bottom seismometers dataset for deep crustal prospecting; 2) a high resolution land reflection dataset for hydrogeological investigation. In both cases, a detailed velocity field, obtained by tomographic inversion of the first breaks, was adopted to relocate shots and receivers to the datum plane. The results emphasize the importance of wave equation datuming to properly handle complex near surface conditions. In the first dataset, the deployed ocean bottom seismometers were relocated to the sea level (shot positions) and a standard processing sequence was subsequently applied to the output. In the second dataset, the application of wave equation datuming allowed us to remove the coherent noise, such as ground roll, and to improve the image quality with respect to the application of static correction. The comparison of the two approaches evidences that the main reflecting markers are better resolved when the wave equation datuming procedure is adopted.     

Near-surface layer traveltime inversion: a synthetic example1

The near-surface layer is modelled as a constant-velocity layer with varying thickness. The base of the layer is described by a B-spline curve. The optimum model is calculated by minimizing, with respect to the model parameters, the difference between traveltimes predicted by the model and those observed in the data. Once a model has been produced, corrections that are dependent on the raypath geometry through the near-surface layer can be calculated. The effect of the near-surface layer is normally considered to be consistent at each shot or geophone station for all traveltimes arriving at that location (the surface-consistent approximation). This assumption linearizes the problem, allowing timeshifts to be calculated and the traveltimes corrected to a chosen datum, representing static corrections. The single correction at each point is an averaged correction, based on an assumption that is particularly inaccurate in the presence of lateral variations of velocity or thickness of the surface layer, in the presence of large surface layer velocities or in the presence of a thick surface layer. The method presented considers the non-linear relationship between data and model explicitly, hence the correction that is dependent on the raypath. Linearization removes this dependence and reduces the problem to a surface-consistent approximation. The method is applied to synthetic data calculated from a model with surface layer variations. Comparisons are made between the corrected data resulting from the method described here and the conventional surface-consistent approach. From these results it becomes apparent that the near-surface layer inversion method presented here can reproduce accurate models and correct for near-surface layer effects in cases where conventional methods encounter difficulties. Additionally the method can be readily extended to 3D.     

STATIC CORRECTIONS FOR SHEAR WAVE SECTIONS*

The computation of static corrections requires information about subsurface velocities. This information can be obtained by different methods: surface wave analysis, short refraction lines, downhole times, uphole times and first arrivals from seismograms. For pure shear waves generated by SH sources the analysis of first arrivals from seismograms combined, if necessary, with short refraction lines has proved to be most accurate and economic. A comparison of first-arrival plots from P- and S-wave surveys of the same line measured in areas of unconsolidated sediments in northern Germany illustrates the characteristic differences between the two velocity models. P-waves show a marked velocity increase at the water table from about 600 to 1800 m/s. S-wave velocities of the same strata increase gradually from about 100 to 400 m/s. As a consequence, S-wave models are vertically and laterally more complex and, in general, show no significant velocity increase at a defined boundary as P-wave models do. Therefore, other suitable correction levels with specific velocities must be chosen. A comparison of “tgd-corrections” (correction time between geophone position and datum level) for P- and S-waves in areas of unconsolidated sediments shows that their ratio is different from the P-/S-velocity ratio for the respective correction level because of the greater depth of the S-wave refractor. Therefore, P- and S-waves are influenced by different near-surface anomalies, and time corrections calculated for both wave types are largely independent.     

三维波动方程基准面校正方法的应用研究

波动方程基准面校正处理被认为是当地表高程变化剧烈、地表一致性假设又不成立的情况下对于常规高程基准面校正的必要替代. 在二维波动方程基准面校正方面,前人已经作了大量工作,并且在实际应用中获得了良好的效果,应该将其进一步推广到三维. 本文采用三维频率空间域有限差分波场延拓算子以“逐步－累加”的方式实现了三维波动方程基准面校正,并对实际数据进行了处理. 对于西部某三维数据的实际计算结果表明,相对于传统的模型法高程静校正,波动方程基准面校正更合理地实现了基准面校正,有助于提高后续的速度分析精度和成像质量.     

Time-lapse processing of 2D seismic profiles with testing of static correction methods at the CO2 injection site Ketzin (Germany)

The Ketzin project provides an experimental pilot test site for the geological storage of CO₂. Seismic monitoring of the Ketzin site comprises 2D and 3D time-lapse experiments with baseline experiments in 2005. The first repeat 2D survey was acquired in 2009 after 22 kt of CO₂ had been injected into the Stuttgart Formation at approximately 630 m depth. Main objectives of the 2D seismic surveys were the imaging of geological structures, detection of injected CO₂, and comparison with the 3D surveys. Time-lapse processing highlighted the importance of detailed static corrections to account for travel time delays, which are attributed to different near-surface velocities during the survey periods. Compensation for these delays has been performed using both pre-stack static corrections and post-stack static corrections. The pre-stack method decomposes the travel time delays of baseline and repeat datasets in a surface consistent manner, while the latter cross-aligns baseline and repeat stacked sections along a reference horizon.Application of the static corrections improves the S/N ratio of the time-lapse sections significantly. Based on our results, it is recommended to apply a combination of both corrections when time-lapse processing faces considerable near-surface velocity changes. Processing of the datasets demonstrates that the decomposed solution of the pre-stack static corrections can be used for interpretation of changes in near-surface velocities. In particular, the long-wavelength part of the solution indicates an increase in soil moisture or a shallower groundwater table in the repeat survey.Comparison with the processing results of 2D and 3D surveys shows that both image the subsurface, but with local variations which are mainly associated to differences in the acquisition geometry and source types used. Interpretation of baseline and repeat stacks shows that no CO₂ related time-lapse signature is observable where the 2D lines allow monitoring of the reservoir. This finding is consistent with the time-lapse results of the 3D surveys, which show an increase in reflection amplitude centered around the injection well. To further investigate any potential CO₂ signature, an amplitude versus offset (AVO) analysis was performed. The time-lapse analysis of the AVO does not indicate the presence of CO₂, as expected, but shows signs of a pressure response in the repeat data.     

Application of the topographic datuming operator to a data setfrom the Eastern Arabian Peninsula

We apply a redatuming methodology, designed to handle rugged topography and the presence of high‐velocity layers near the acquisition surface, to a 2D land seismic data set acquired in Saudi Arabia. This methodology is based on a recently developed prestack operator, which we call the topographic datuming operator (TDO). The TDO, unlike static corrections, allows for the movement of reflections laterally with respect to their true locations, corresponding to the new datum level. Thus, it mitigates mispositioning of events and velocity bias introduced by the assumption of surface consistency and the time‐invariant time shifts brought about by static corrections. Using the shallow velocities estimated from refracted events, the TDO provides a superior continuity of reflections and better focusing than that obtained from conventional static corrections in most parts of the processed 2D line. The computational cost of applying the TDO is only slightly higher than static corrections. The marginal additional computational cost and the possibility of estimating, after TDO redatuming, stacking velocities that are not affected by a spurious positive bias, as in the case of static corrections, are further advantages of the proposed methodology. The likelihood of strong heterogeneities in the most complex part of the line limits the applicability of any approach based upon geometrical optics; however, the TDO produces results that are slightly better than those obtained from static corrections because of its ability to partially collapse diffractions generated in the near surface.     

Laplace-domain full waveform inversion using irregular finite elements for complex foothill environments

Refraction-traveltime tomography is the most common approach and widely used for estimating velocity models with rugged topography and strongly variant near-surface geology. However, for complex geographical structures, there is often a restriction to the application of the conventional approach because the refracted energy can be trapped by the near-surface structure, which leads to limited depth penetration. To solve this problem, we propose a velocity estimation algorithm for foothill areas using Laplace-domain full waveform inversion (FWI) with irregular finite elements. Because the Laplace-domain FWI uses wavefields damped exponentially in time, the acoustic wave equation can be applied to foothill datasets without suppressing various types of elastic noise. In this study, irregular finite elements are generated to depict complicated surface topography using a Delaunay triangulation and tetrahedralization algorithm. Furthermore, adaptive mesh generation that formulates larger size elements with greater depth is used for minimizing the intensive computational costs in solving the full wave equation in the 2D and 3D domains. The validity of our proposed algorithm is demonstrated for 2D and 3D synthetic datasets and a 2D real exploration dataset acquired in the complex Aquio field foothill area in Bolivia.     

Solving the complex near‐surface problem using 3D data‐driven near‐surface layer replacement

In many land seismic situations, the complex seismic wave propagation effects in the near‐surface area, due to its unconsolidated character, deteriorate the image quality. Although several methods have been proposed to address this problem, the negative impact of 3D complex near‐surface structures is still unsolved to a large extent. This paper presents a complete 3D data‐driven solution for the near‐surface problem based on 3D one‐way traveltime operators, which extends our previous attempts that were limited to a 2D situation. Our solution is composed of four steps: 1) seismic wave propagation from the surface to a suitable datum reflector is described by parametrized one‐way propagation operators, with all the parameters estimated by a new genetic algorithm, the self‐adjustable input genetic algorithm, in an automatic and purely data‐driven way; 2) surface‐consistent residual static corrections are estimated to accommodate the fast variations in the near‐surface area; 3) a replacement velocity model based on the traveltime operators in the good data area (without the near‐surface problem) is estimated; 4) data interpolation and surface layer replacement based on the estimated traveltime operators and the replacement velocity model are carried out in an interweaved manner in order to both remove the near‐surface imprints in the original data and keep the valuable geological information above the datum. Our method is demonstrated on a subset of a 3D field data set from the Middle East yielding encouraging results.