从瞬变电磁扩散场到拟地震波场的全时域反变换算法

将瞬变电磁满足的扩散方程转变为波动方程,然后利用地震类成像方法实现瞬变电磁虚拟波场成像,是实现瞬变电磁三维反演的有效手段之一.为了实现由扩散场到虚拟波场的转换,文中采用预条件正则化共轭梯度法求解波场反变换问题.首先,对几种离散方式进行比较,采用条件数最小的离散方式进行离散;然后选择最优的正则化参数,并利用超松弛预条件技术对系数矩阵进行预条件处理;最后,利用共轭梯度法进行迭代求解.超松弛预条件有效降低了系数矩阵的条件数,正则化方法使得反变换得到的波场稳定、可靠,共轭梯度法能够保证计算快速收敛.将反变换结果与已知虚拟波场函数对比,证明算法稳定、可信.将文中算法结果与前人研究结果进行对比,说明方法效果.通过实测数据的波场变换处理给出了文中方法的实际应用效果.结合反变换算法,对不同参数模型进行分析,总结了虚拟波场在色散介质中的传播规律.     

瞬变电磁扩散场到虚拟波场的精细积分变换算法

现有的瞬变电磁解释与反演方法主要对电阻率参数进行解释,较难给出准确的地质构造信息.为了能够较多获得地质构造信息,可将瞬变电磁扩散场信号转换为虚拟波场信号,提高瞬变电磁法的分辨率.本文采用精细积分法,实现了瞬变电磁扩散场到虚拟波场的转换.将一个高度病态的线性方程组转换成求积分的过程,大大降低了解决病态问题的难度.积分步长以2的指数增加,在保证精度的前提下,具有极高的计算效率;设置合理的终止迭代条件,进一步提高本文方法的适用性.对典型地电模型的计算,表明本文方法具有较高的精度;减小两个波峰之间的距离,证明了本文方法具有较好的分辨能力;对含有噪声信号的扩散场进行波场反变换,证明了本文方法具有较好的抗噪性.最后计算三维模型和实测数据的虚拟波场,可以很好地反映出三维地质体的界面信息,证明本文方法稳定、可靠,可以对地下地质目标体的界面进行有效识别.本文方法相比预条件正则化共轭梯度法(PRCG),在计算效率方面提升了 4倍左右;本文方法的相对误差在5％以内,而PRCG的最大相对误差可达40％～50％,精度最高可提升10倍;在分辨率与稳定性方面,也表现出较好的效果.     

瞬变电磁法三维拟地震成像信息提取技术

在瞬变电磁法中,为提高对地下电性界面的分辨率,可移植地震勘探中的诸多技术对界面直接成像,以克服反演中的不适定性.首先为使得波形在高低不同的电性基底所产生的虚拟反射波振幅有可比性,在将原有瞬变电磁场逆变换成虚拟波场数据的基础之上,需要求取均衡系数;接着通过对虚拟波场的离散数据求取反褶积,可基本抵消波场变换的展宽作用和大地滤波影响,以达到对电性界面精确定位的效果;然后,对波形做低通滤波处理后运用克希霍夫积分公式,将虚拟地震波场由地面向地下反向逆时偏移成像.把波场分析原理用于对瞬变电磁场的解释,就形成了瞬变电磁偏移方法.从波场角度看,它拓展和丰富了瞬变电磁场的内涵.使用本方法,可更加容易得到从前用常规解释方法处理无法提取的信息.在延拓成像中可更精确的确定界面深度,并为在瞬变电磁法中合理引入拟地震处理解释方法提供重要的理论依据和实验参照.     

瞬变电磁合成孔径成像方法研究

瞬变电磁法虽然广泛应用于资源勘探和工程勘察中,但仍存在一些亟待解决问题.迫切需要引进一些新的技术与方法,以进一步提高解释精度.由于瞬变电磁资料可以通过数学公式转换成虚拟波;多孔径瞬变电磁物理模拟证明TEM多孔径具有相干性;相邻位置上同一地质体的反射回波具有较好的相关性.所以,对于瞬变电磁资料可以进行多孔径合成成像.本文借助于合成孔径雷达的基本思想,提出一套新的数据处理方法,即采用相关叠加技术,实现多孔径数据合成.在完成瞬变电磁虚拟波提取后,将传统的以剖面为主的处理方式发展成为以测点为中心的多孔径合成,将传统的以单点处理方式发展成为逐点推移多次覆盖的处理方法.采用相关叠加的方法来进行合成孔径,由此大大提高瞬变电磁法的分辨率.从波场的角度拓展和丰富了瞬变电磁场的内涵,使得从实测资料中提取到常规瞬变电磁法提取不到的信息,对地下目标体成像更为有利.通过对所设计模型和实测资料处理,结果表明合成孔径成像效果较好.研究成果为发展瞬变电磁成像技术,提高分辨率提供了一条新途径.     

矿井瞬变电磁法超前探测合成孔径成像研究

在矿井瞬变电磁超前探测数据处理和解释中,为了更好地识别巷道前方含水体电性分界面,利用扩散场与波动场间的函数关系,将矿井瞬变电磁法超前探测中瞬变电磁波场转换为拟地震波场,实现波场转换.同时,为了解决波场转换后信号幅值偏弱,以增加信噪比利于解释,利用雷达的合成孔径方法对波场转换后的拟地震信号进行相关叠加处理.将矿井瞬变电磁法巷道超前探测的同一测点不同探测方向的数据作为孔径数据进行合成孔径成像,以突出弱异常而提高信噪比,结合应用实例验证了方法的效果.研究表明,矿井瞬变电磁法合成孔径成像方法能够提高电性界面信息的信噪比和界面几何分辨率,对矿井瞬变电磁法精细超前探测含水构造具有重要的理论意义和应用价值.     

瞬变电磁法拟地震成像研究进展

瞬变电磁法是工程地球物理勘察中应用较多的一种勘探方法之一,瞬变电磁法拟地震成像方法研究是当前电磁探测理论与应用研究的热门.文中详细叙述了瞬变电磁法拟地震成像的两种不同思路,一种是建立时间—频率转换经验公式,把TEM数据转换成平面波数据,借鉴大地电磁法拟地震解释思路进行成像,另一种是通过积分变换,把扩散场变成虚拟波场,把电磁衰减信号变成拟地震子波,然后按照地震解释法进行解释,并分析了各自存在的的问题.指出下一步研究的方向.     

瞬变电磁虚拟波场成像方法及其对未爆弹探测的试验研究

未爆弹严重威胁人类的安全,瞬变电磁是一种对其有效的探测方法.探讨了瞬变电磁波场变换理论,实现了对瞬变电磁信号中波场特性的提取,提出了基于虚拟波场波形特征的速度分析反演成像方法,计算了三维数值模型和水槽物理模拟数据的反演结果,取得了良好的成像效果.结合未爆弹探测的工程实例,对瞬变电磁虚拟波场反演成像方法的实用性和有效性进行了验证.研究表明:瞬变电磁虚拟波场反演成像方法能够解决微小低阻异常体精确定位的难题.     

多道瞬变电磁法(MTEM)国外研究进展

多道瞬变电磁法(Multi-transient electromagnetic method,MTEM)最早由英国爱丁堡大学学者提出,该方法不仅融合了地震勘探中的数据采集和处理解释方法,而且把电磁法勘探中的几何测量和感应测量结合在一起,它是目前石油和矿产资源勘查领域具有发展潜力的电磁勘探方法.本文首先对MTEM方法的提出和发展过程进行了回顾,然后分析了其采用大功率接地源形式、伪随机码发射源、多道观测、类地震资料处理等特点等.最后介绍了采用MTEM在陆地、海洋等勘探环境下进行的探测和监测实际勘探例子.该方法成功的应用,为推进我国多道瞬变电磁深部探测系统研发起到了积极的作用.     

多通道瞬变电磁m序列全时正演模拟与反演

传统瞬变电磁方法主要用于金属矿勘查,无法满足油气资源高阻目标体的勘探需要.多通道瞬变电磁(MTEM)系统的出现解决了这一问题.该方法采用伪随机序列发射波形和拟地震观测方式,测量同线电场分量,记录全时发射电流及多道观测数据,实现对高阻薄层的高精度探测.鉴于国内对此方法的研究还处于理论探索阶段,尚未进行相应的仿真模拟和数据处理工作,本文针对m序列发射波形多通道瞬变电磁法的全时正演模拟和反演解释进行研究,为国内正在进行的MTEM仪器系统研发及数据解释提供理论指导.我们利用方波响应移位叠加和电流导数与阶跃响应褶积两种方法实现理论m序列和实际发射波形的全时正演模拟;再通过相关辨识技术,削弱噪声影响,计算脉冲响应;最后对积分得到的阶跃响应进行共中心点道集数据联合反演,获取地下电性分布信息.     

瞬变电磁拟地震子波宽度压缩研究

导电媒质中电磁场所满足的扩散方程与无耗媒质中电磁场所满足的无阻尼波动方程之间存在着数学转换关系式,可以实现瞬变电磁法拟地震资料解释.但是转换出的虚拟波往往波形较宽,使分辨能力下降,影响了瞬变电磁拟地震方法的发展和推广.本文针对虚拟波形展宽这一现象进行了研究,认为虚拟波形展宽的原因,不是由于波在介质中传播时能量损耗所致,...     

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.     

Preconditioned non‐linear conjugate gradient method for frequency domain full‐waveform seismic inversion

We present preconditioned non‐linear conjugate gradient algorithms as alternatives to the Gauss‐Newton method for frequency domain full‐waveform seismic inversion. We designed two preconditioning operators. For the first preconditioner, we introduce the inverse of an approximate sparse Hessian matrix. The approximate Hessian matrix, which is highly sparse, is constructed by judiciously truncating the Gauss‐Newton Hessian matrix based on examining the auto‐correlation and cross‐correlation of the Jacobian matrix. As the second preconditioner, we employ the approximation of the inverse of the Gauss‐Newton Hessian matrix. This preconditioner is constructed by terminating the iteration process of the conjugate gradient least‐squares method, which is used for inverting the Hessian matrix before it converges. In our preconditioned non‐linear conjugate gradient algorithms, the step‐length along the search direction, which is a crucial factor for the convergence, is carefully chosen to maximize the reduction of the cost function after each iteration. The numerical simulation results show that by including a very limited number of non‐zero elements in the approximate Hessian, the first preconditioned non‐linear conjugate gradient algorithm is able to yield comparable inversion results to the Gauss‐Newton method while maintaining the efficiency of the un‐preconditioned non‐linear conjugate gradient method. The only extra cost is the computation of the inverse of the approximate sparse Hessian matrix, which is less expensive than the computation of a forward simulation of one source at one frequency of operation. The second preconditioned non‐linear conjugate gradient algorithm also significantly saves the computational expense in comparison with the Gauss‐Newton method while maintaining the Gauss‐Newton reconstruction quality. However, this second preconditioned non‐linear conjugate gradient algorithm is more expensive than the first one.     

Extracting the Virtual Reflected Wavelet from TEM Data Based on Regularizing Method

A pseudo-seismic interpretation method is an alternative way to process and explain transient electromagnetic (TEM) data, and has become a popular research field in recent years. TEM signals which satisfy the diffusion equation can be converted by means of a mathematical transformation into ones which obey the wave equation. For an ill-posed problem of this kind of transformation, a sub-regularization algorithm is developed in this paper to extract a virtual wavelet of the TEM field. According to the conventional designation of TEM recordings, the entire integration period is divided into seven time intervals. In order to avoid low accuracy in the calculations, high-density wavefield data has been calculated based on the former sub-division. Therefore, the virtual wavelet can be extracted successfully by using an optimized algorithm to obtain high-density integral coefficients for all time windows, and a satisfactory condition number of the coefficient matrix while taking a different channel number in each time period. The Tikhonov regularization inversion scheme is used to determine the optimal parameters based on minimizing a least squares misfit, and the Newton iterative formula is used to obtain optimal regularization parameters. Both synthetic model simulations and a real data interpretation example indicate that the proposed pseudo-seismic wavefield method is a suitable alternative way to interpret TEM data.     

预条件共轭梯度反褶积及其应用

预条件共轭梯度反褶积方法是结合稀疏反褶积的实现,运用优化的预条件共轭梯度法,完成反射系数的反演。用该方法处理地震资料时可提高资料频率,展宽有效频率宽度。但由于地震信号具有时变性,因此本文将该反褶积过程中的子波用多尺度时变子波代替。由数值算例可以看出,该方法可取得较好的实用效果。     

预条件共轭梯度法在地震数据重建方法中的应用

基于最小平方的Fourier地震数据重建方法最终转化为求解一个线性方程组, 其系数矩阵是Toeplitz矩阵,可以用共轭梯度法求解该线性方程组.共轭梯度法的迭代次数受系数矩阵病态程度的影响,地震数据的非规则采样程度越高,所形成的系数矩阵病态程度越高,就越难收敛和得到合理的计算结果.本文研究了基于Toeplitz矩阵的不同预条件的构造方法,以及对共轭梯度法收敛性的影响.通过预条件的使用,加快了共轭梯度法的迭代速度, 改进了共轭梯度算法的收敛性,提高了计算的效率.数值算例和实际地震数据重建试验证明了预条件共轭梯度法对计算效率有很大的提高.     

利用多通道瞬变电磁法识别深部矿体——以内蒙兴安盟铅锌银矿为例

多通道瞬变电磁法由于采用伪随机编码发射、最佳匹配相干解码技术,所以相比于传统时间域电磁方法勘探深度大且抗干扰能力强,是目前地面资源勘查领域的研究热点.针对内蒙兴安盟某铅锌银矿埋藏深度大等特点,首先根据矿区资料建立一维以及二维模型,数值计算脉冲响应并分析其特征,说明多通道瞬变电磁对于大埋深低阻异常体有良好的反映,随后通过多通道瞬变电磁技术对矿区进行实例勘查,数据处理过程中利用了反卷积的方法提取大地脉冲响应,根据轴向大地脉冲响应的峰值时刻计算视电阻率,通过对视电阻率进行全波形反演得到解释剖面,与测区钻孔资料对比分析证明,多通道瞬变电磁法是反映深部低阻异常体的有效手段.     

Preconditioned prestack plane-wave least squares reverse time migration with singular spectrum constraint

Least squares migration can eliminate the artifacts introduced by the direct imaging of irregular seismic data but is computationally costly and of slow convergence. In order to suppress the migration noise, we propose the preconditioned prestack plane-wave least squares reverse time migration (PLSRTM) method with singular spectrum constraint. Singular spectrum analysis (SSA) is used in the preconditioning of the take-offangle-domain common-image gathers (TADCIGs). In addition, we adopt randomized singular value decomposition (RSVD) to calculate the singular values. RSVD reduces the computational cost of SSA by replacing the singular value decomposition (SVD) of one large matrix with the SVD of two small matrices. We incorporate a regularization term into the preconditioned PLSRTM method that penalizes misfits between the migration images from the plane waves with adjacent angles to reduce the migration noise because the stacking of the migration results cannot effectively suppress the migration noise when the migration velocity contains errors. The regularization imposes smoothness constraints on the TADCIGs that favor differential semblance optimization constraints. Numerical analysis of synthetic data using the Marmousi model suggests that the proposed method can efficiently suppress the artifacts introduced by plane-wave gathers or irregular seismic data and improve the imaging quality of PLSRTM. Furthermore, it produces better images with less noise and more continuous structures even for inaccurate migration velocities.     

On regularized time varying gravity field models based on grace data and their comparison with hydrological models

Determination of spherical harmonic coefficients of the Earth’s gravity field is often an ill-posed problem and leads to solving an ill-conditioned system of equations. Inversion of such a system is critical, as small errors of data will yield large variations in the result. Regularization is a method to solve such an unstable system of equations. In this study, direct methods of Tikhonov, truncated and damped singular value decomposition and iterative methods of ν, algebraic reconstruction technique, range restricted generalized minimum residual and conjugate gradient are used to solve the normal equations constructed based on range rate data of the gravity field and climate experiment (GRACE) for specific periods. Numerical studies show that the Tikhonov regularization and damped singular value decomposition methods for which the regularization parameter is estimated using quasioptimal criterion deliver the smoothest solutions. Each regularized solution is compared to the global land data assimilation system (GLDAS) hydrological model. The Tikhonov regularization with L-curve delivers a solution with high correlation with this model and a relatively small standard deviation over oceans. Among iterative methods, conjugate gradient is the most suited one for the same reasons and it has the shortest computation time.