Point‐spread functions for interferometric imaging

Interferometric redatuming is a data‐driven method to transform seismic responses with sources at one level and receivers at a deeper level into virtual reflection data with both sources and receivers at the deeper level. Although this method has traditionally been applied by cross‐correlation, accurate redatuming through a heterogeneous overburden requires solving a multidimensional deconvolution problem. Input data can be obtained either by direct observation (for instance in a horizontal borehole), by modelling or by a novel iterative scheme that is currently being developed. The output of interferometric redatuming can be used for imaging below the redatuming level, resulting in a so‐called interferometric image. Internal multiples from above the redatuming level are eliminated during this process. In the past, we introduced point‐spread functions for interferometric redatuming by cross‐correlation. These point‐spread functions quantify distortions in the redatumed data, caused by internal multiple reflections in the overburden. In this paper, we define point‐spread functions for interferometric imaging to quantify these distortions in the image domain. These point‐spread functions are similar to conventional resolution functions for seismic migration but they contain additional information on the internal multiples in the overburden and they are partly data‐driven. We show how these point‐spread functions can be visualized to diagnose image defocusing and artefacts. Finally, we illustrate how point‐spread functions can also be defined for interferometric imaging with passive noise sources in the subsurface or with simultaneous‐source acquisition at the surface.     

Seismic interferometry experiment in a shallow cased borehole using a seismic vibrator source‡

We present the results of a seismic interferometry experiment in a shallow cased borehole. The experiment is an initial study for subsequent borehole seismic surveys in an instrumented well site, where we plan to test other surface/borehole seismic techniques. The purpose of this application is to improve the knowledge of the reflectivity sequence and to verify the potential of the seismic interferometry approach to retrieve high‐frequency signals in the single well geometry, overcoming the loss and attenuation effects introduced by the overburden. We used a walkaway vertical seismic profile (VSP) geometry with a seismic vibrator to generate polarized vertical and horizontal components along a surface seismic line and an array of 3C geophones cemented outside the casing. The recorded traces are processed to obtain virtual sources in the borehole and to simulate single‐well gathers with a variable source‐receiver offset in the vertical array. We compare the results obtained by processing the field data with synthetic signals calculated by numerical simulation and analyse the signal bandwidth and amplitude versus offset to evaluate near‐field effects in the virtual signals. The application provides direct and reflected signals with improved bandwidth after vibrator signal deconvolution. Clear reflections are detected in the virtual seismic sections in agreement with the geology and other surface and borehole seismic data recorded with conventional seismic exploration techniques.     

基于辛格式奇异核褶积微分算子的地震标量波场模拟

本文在对地震波场进行模拟时,采用辛差分格式对波动方程进行时间离散,采用奇异核褶积微分算子对波动方程进行空间离散.该方法尽管增加了一些计算量,但提高了计算精度和稳定性;相对于其他非辛算法,它是全局保结构的,并且具有较强的长时间跟踪能力.该方法为解决大尺度、长时程地震波场的高精度模拟问题提供了一种新的、有效的选择.     

西太平洋俯冲板块对中国东北构造演化的影响及其动力学意义

中国东北地区在古生代期间以众多微陆块的拼合以及古亚洲洋的闭合为特征,其后又经历了中-新生代太平洋构造域及中生代蒙古-鄂霍茨克构造域的叠加与改造,以致东北地区的构造行迹显得极为复杂,而大兴安岭重力梯级带及其西部地区构造演化是否与西太平洋俯冲有关仍然存在争议.本研究利用分布于中国东北、华北地区以及韩国、日本等部分台网所接收的近震与远震走时数据获得了中国东北地区壳幔精细的三维P波速度结构.成像结果显示,太平洋板块持续西向俯冲,俯冲板片的前缘停滞在大兴安岭-太行山重力梯度带以东区域的地幔转换带之中;长白山火山区上地幔存在着显著的低速异常体,推测西太平洋板块的深俯冲脱水导致了上地幔底部岩石的熔点降低,从而形成了大范围的部分熔融物质上涌.通过分析上地幔的速度结构,我们认为由于太平洋板块的大规模西向深俯冲,在大地幔楔中发生板片脱水、低速热物质上涌等复杂的地球动力学过程;俯冲板片前缘带动上地幔中不均匀分布的地幔流强烈作用于上部的岩石圈,这对东北地区深部壳幔结构乃至大兴安岭重力梯级带的形成、演化有着重要的影响.

     

ABCD2评分法结合颅脑DWI及CTA预测TIA后脑梗死风险

目的：在ABCD2评分基础上,评估结合弥散加权成像（DWI）及CTA对短暂性脑缺血（TIA）后短期内发生脑梗死风险的预测价值。方法：连续选取本院2015年1月至2017年6月170例TIA患者（平均年龄62.4岁±5.4岁）,全部患者均行DWI及CTA检查,且随访3个月。分别于7天、3个月记录患者ABCD2评分、DWI阳性结果及CTA诊断大动脉粥样硬化（LAA）,以评估所有患者短期内发生脑梗死风险的预测价值。结果：170例患者中,68例（40%）患者DWI阳性,43例（25%）诊断LAA。DWI阳性患者中单侧肢体无力（OR=2.3;95% CI,1.1~4.8）,TIA症状持续时间≥ 60 min（OR=3.7;95% CI,1.4~9.9）,ABCD2> 5（OR=5.4;95% CI,1.5~18.8）,LAA（OR=2.7;95% CI,1.3至5.5）。随访期间,7天内发生脑梗死1例,7天至3个月内发生脑梗死6例,ABCD2评分> 5（OR=24.4;95% CI,2.5~238.7）,DWI阳性结果（OR=9.8;95% CI,1.1~83.1）,LAA（OR=20.4;95% CI,2.4~175.1）。除1例患者外,3个月内发生脑梗死的DWI均为阳性。ABCD2评分、DWI阳性结果及LAA与7天、3个月脑梗死风险的增加是相关联的。结论：在ABCD2评分基础上引入DWI和CTA检查作为辅助,能提高对TIA后发生脑梗死风险的预测能力。     

煤层中流体地震可探测性的模拟分析

作为一种典型的强阻抗差低阻抗薄层,煤层中孔隙含流体时是否会引起地震反射产生明显的异常是回答地震检测流体是否可行的根本.为此,本文针对强阻抗差薄层模型,基于Biot双相介质理论,通过弹性波有限差分法数值模拟,与各向同性单相介质假设的煤层反射对比,探讨了反射复合波受煤层孔隙度及流体性质变化的影响程度.模拟分析发现：由于薄层孔隙度和孔隙流体属性的变化在Biot理论中表现为纵波速度的变化,PP波反射AVO（Amplitude Versus Offset,振幅随偏移距变化）特征对薄层是否含流体相对敏感;综合使用PP与PS波对比有利于薄层中流体的预测;孔隙度一定时,PP波反射振幅随着含气饱和度的增加而增大;受薄层调谐作用的影响,孔隙和流体变化对煤层反射的频谱特征影响不大,近似于单相介质时的情况.

     

基于偏微分方程的模型光滑处理在偏移成像中的应用

本文针对射线类偏移成像当中的速度模型光滑处理问题,借鉴数字图像处理当中的偏微分方程法,基于能量泛函,应用变分方法导出基于速度模型的偏微分方程实现射线类偏移成像当中的速度模型的光滑处理.由于偏微分方程法具有线性叠加特性、模型解的唯一性和局部特征保持性,因此,应用该算法可以实现基于原始速度模型空间结构的模型光滑处理.通过在原始速度模型以及光滑处理后的速度模型上计算速度的空间分布以及地震波走时、射线路径可以得出,偏微分方程法对速度模型的光滑处理能够很好地保持原始模型的空间结构,偏移成像结果也证明了该方法的实用性.

     

Statistical facies classification from multiple seismic attributes: comparison between Bayesian classification and expectation–maximization method and application in petrophysical inversion

We present here a comparison between two statistical methods for facies classifications: Bayesian classification and expectation–maximization method. The classification can be performed using multiple seismic attributes and can be extended from well logs to three‐dimensional volumes. In this work, we propose, for both methods, a sensitivity study to investigate the impact of the choice of seismic attributes used to condition the classification. In the second part, we integrate the facies classification in a Bayesian inversion setting for the estimation of continuous rock properties, such as porosity and lithological fractions, from the same set of seismic attributes. The advantage of the expectation–maximization method is that this algorithm does not require a training dataset, which is instead required in a traditional Bayesian classifier and still provides similar results. We show the application, comparison, and analysis of these methods in a real case study in the North Sea, where eight sedimentological facies have been defined. The facies classification is computed at the well location and compared with the sedimentological profile and then extended to the 3D reservoir model using up to 14 seismic attributes.     

2017年九寨沟MS7.0地震场地特征分析

场地条件对地震动具有较大影响, 研究不同场地条件下的地震动特征对地震动的校正具有重要意义。 本文以九寨沟地震为例, 收集了66个台站的198条三分量强震观测记录和SRTM(Shuttle Radar Topography Mission)公里格网的DEM(Digital Elevation Model)数据, 从多个角度对场地特征进行分析。 首先根据坡度法使用DEM数据对九寨沟特征进行了场地分类, 然后讨论了不同场地类型下的加速度时程、 加速度反应谱、 地震动衰减等地震动特征。 研究表明, 缺少实测资料的情况下, 地形坡度可以作为Vs30(地表以下30 m范围的平均剪切波速度)的一种替代指标, 利用坡度法可以较快速地对场地进行分类; 利用强震观测记录能够从多角度对台站的场地特征进行分析, 不同场地类型对地震动影响不同, 其中, 土层对地震动具有明显的放大效应。 该结论可以为地震动结果的校正提供依据。     

CO2 saturation estimates at Sleipner (North Sea) from seismic tomography and rock physics inversion

CO₂ saturations are estimated at Sleipner using a two-step imaging workflow. The workflow combines seismic tomography (full-waveform inversion) and rock physics inversion and is applied to a two-dimensional seismic line located near the injection point at Sleipner. We use baseline data (1994 vintage, before CO₂ injection) and monitor data that was acquired after 12 years of CO₂ injection (2008 vintage). P-wave velocity models are generated using the Full waveform inversion technology and then, we invert selected rock physics parameters using an rock physics inversion methodology. Full waveform inversion provides high-resolution P-wave velocity models both for baseline and monitor data. The physical relations between rock physics properties and acoustic wave velocities in the Utsira unconsolidated sandstone (reservoir formation) are defined using a dynamic rock physics model based on well-known Biot–Gassmann theories. For data prior to injection, rock frame properties (porosity, bulk and shear dry moduli) are estimated using rock physics inversion that allows deriving physically consistent properties with related uncertainty. We show that the uncertainty related to limited input data (only P-wave velocity) is not an issue because the mean values of parameters are correct. These rock frame properties are then used as a priori constraint in the monitor case. For monitor data, the Full waveform inversion results show nicely resolved thin layers of CO₂–brine saturated sandstones under intra-reservoir shale layers. The CO₂ saturation estimation is carried out by plugging an effective fluid phase in the rock physics model. Calculating the effective fluid bulk modulus of the brine–CO₂ mixture (using Brie equation in our study) is shown to be the key factor to link P-wave velocity to CO₂ saturation. The inversion tests are done with several values of Brie/patchiness exponent and show that the CO₂ saturation estimates are varying between 0.30 and 0.90 depending on the rock physics model and the location in the reservoir. The uncertainty in CO₂ saturation estimation is usually lower than 0.20. When the patchiness exponent is considered as unknown, the inversion is less constrained and we end up with values of exponent varying between 5 and 20 and up to 33 in specific reservoir areas. These estimations tend to show that the CO₂–brine mixing is between uniform and patchy mixing and variable throughout the reservoir.