共查询到19条相似文献，搜索用时 859 毫秒
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椭圆极化现象是电磁场在导电介质中传播时产生的,为得到准确的相位信息,在计算激发磁场时应考虑椭圆极化。本文研究了地面核磁共振(SNMR)信号相位求取电阻率的基本方法,利用SNMR信号通过广义逆反演法得到电阻率未知情况下的含水率及层位分布,作为相位反演电阻率的先验值,通过模拟退火法实现对电阻率的反演。对SNMR的研究解决了通过相位对电阻率的求取,有利于进一步利用相位信息提高含水层和含水率反演的精度。 相似文献
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通过引入模糊均值聚类(FCM)模型约束函数对电阻率与速度进行约束,开展二维直流电阻率法与地震初至波走时成像法联合反演研究.在地下浅层结构勘探中,通常低电阻率的地质体具有低速特征,较高电阻率的地质体表现为较高的地震波速度.直流电阻率法因为低电阻率区域吸引电流而对其敏感,地震走时成像法因为射线集中在高波速区而对高速体敏感,因此,两者联合成像能够大幅度提高反演效果.合成数据反演表明,直流电阻率法和地震初至波走时联合反演对于两类地质体的分辨能力均有提升,能够优势互补.尤其是引入FCM模型约束进行联合反演,根据已知物性进行监督学习,进一步提高了反演质量,改善了成像模型的分辨率. 相似文献
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《地球物理学进展》2017,(1)
随着城市工程勘探及煤矿采矿区勘探要求的不断提高,二维地面及孔间电阻率成像无法确定电性异常沿垂直剖面方向延伸范围,三维地面电阻率成像面临着纵向分辨率小、空间覆盖不均匀等问题.本文提出井地井三维全通道电阻率成像方法,该方法计算时采用除去2个供电电极外其余全部接地电极所采集数据进行反演计算.在成像时首先采用有限差分方法求解3D静电场方程,并基于伴随矩阵方法计算非线性灵敏度矩阵,最后利用牛顿共轭梯度反演方法实现全通道电阻率层析成像.通过理论数据测试表明:全通道3D井地井联合观测方式能有效的对孔间电性结构三维成像,具有较好的纵横向分辨率,可以较好的解决实际工程地质问题及采空区在空间的分布形态难题. 相似文献
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在利用不同的地球物理勘探方法对地下复杂介质成像时,因观测系统的非完备性及数据本身对某些岩石物性的不敏感性,单独成像的结果存在较大的不确定性和不一致性.对于地震体波走时成像与直流电阻率成像,均面临着成像阴影区问题.对于地震走时成像,地震射线对低速区域覆盖较差形成阴影区,造成低速区域分辨率降低.对于电阻率成像,电场线在高阻区域分布较少,造成高阻区域分辨率较低.为了提高地下介质成像的精度,Gallado和Meju(2003)提出了基于交叉梯度结构约束的联合地球物理成像方法.在要求不同的物性模型拟合各自对应的数据同时,模型之间的结构要求一致,即交叉梯度趋于零.为了更有效地实现基于交叉梯度的结构约束,我们提出了一种新的交替结构约束的联合反演流程,即交替反演不同的数据而且在反演一种数据时要求对应的模型与另一个模型结构一致.新的算法能够更容易地把单独的反演系统耦合在一起,而且也更容易建立结构约束和数据拟合之间的平衡.基于新的联合反演流程,我们测试了基于交叉梯度结构约束的二维跨孔地震走时和直流电阻率联合成像.合成数据测试表明,我们提出的交替结构约束流程能够很好地实现基于交叉梯度结构约束的联合成像.与单独成像结果相比,地震走时和全通道电阻率联合成像更可靠地确定了速度和电阻率异常. 相似文献
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电阻率法和背景噪声法是通过获得地下介质的电阻率和速度参数的分布来探究地球内部物质分布的非均匀性特征,联合反演可以有效地发挥两种方法的优势,减小反演多解性.本文采用有限内存拟牛顿（L-BFGS）算法实现了电阻率法和背景噪声法的单方法三维反演,然后基于电阻率和速度模型结构耦合约束,采用交替迭代方式实现了电阻率法和背景噪声法的三维联合反演.通过设计规则体组合模型和不规则体组合模型进行理论模型合成数据三维反演试算,结果表明：联合反演可以获得同时满足数据拟合差和结构更为相似的速度-电阻率模型;联合反演可以压制背景噪声单方法反演出现的假异常,获得更精细的速度结构;联合反演获得的电阻率模型对倾斜异常体、高阻覆层下方异常体、圈闭的高/低阻体等边界信息有明显的提升,有效克服电阻率法单方法反演的局限,提高深部电阻率的分辨率. 相似文献
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快速模拟退火地震反演 总被引：10，自引：3，他引：10
讨论了用模拟退火方法进行地震资料的参数反演，利用快速的降温方式实现模拟退火反演，从而形成了快速模拟退火算法。模拟退火反演的优点是可以突破反演过程中局部最优的限制，获得全局最优解。因此，ＳＡ方法适于解决地震反演中的非凸性目标函数的最优化问题。 相似文献
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《应用地球物理》2013,(4)
三维电阻率探测反演存在着多解性的固有难题,增加已知数据和先验信息、施加先验约束是压制反演多解性的可行途径。针对该问题,将地质推断或其他地球物理勘探方法获得的确定性的异常体空间形态信息作为一种重要的已知先验信息,提出了一种基于异常体空间形态先验约束的三维电阻率反演成像方法,利用已知异常体边界的三个正交方向向量(法向量及两个切向量)及各向异性的权重系数来控制异常体边界区域的法方向及切方向电阻率差异程度,从而实现已知异常体边界空间形态的刻画及其先验约束的表征。将上述异常体空间形态先验约束施加到三维电阻率反演目标函数中,并建立了基于空间形态先验约束的三维电阻率反演成像方程。然后,开展了基于空间形态先验约束的数值反演算例,对三维电阻率反演方向向量及其权重进行了系统探讨,得到了方向向量权重合理的取值范围,验证了空间形态先验约束在降低多余构造,压制多解性方面的可行性和有效性。最后,将该方法用于广州地铁含水层探测中,将地质地雷得到的异常体空间形态施加到三维电阻率反演中,较准确的反演出地下含水层的位置和形态,通过与现场钻孔对比,可发现空间形态约束方法显著的压制了三维电阻率探测反演的多解性问题,具有良好的实用性。 相似文献
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Raghu K. Chunduru Mrinal K. Sen Paul L. Stoffa R. Nagendra 《Geophysical Prospecting》1995,43(8):979-1003
The inversion of resistivity profiling data involves estimation of the spatial distribution of resistivities and thicknesses of rock layers from the apparent resistivity data values measured in the field as a function of electrode separation. The drawbacks of using traditional curve-matching techniques to solve this inverse problem have been overcome by iterative linear techniques but these require good starting models even if the shape of the causative body is asssumed known. In spite of the recent developments in inversion techniques, no robust method exists for the inversion of resistivity profiling data for the simple model of dikes and spheres which are the classical models of geophysical prospecting. We apply three different non-linear inversion schemes to invert synthetic resistivity profiling data for the classical models embedded in a uniform matrix of contrasting resistivity. The three non-linear algorithms used are called the Metropolis simulated annealing (SA), very fast simulated annealing (VFSA) and a genetic algorithm (GA). We compare the performance of the three algorithms using synthetic data for an outcropping vertical dike model. Although all three methods were successful in obtaining optimal solutions for arbitrary starting models, VFSA proved to be computationally the most efficient. 相似文献
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在已有研究成果的基础上,为了适应物性参数剧烈变化的复杂模型并满足联合反演的要求,开发了速度和电阻率随机分布共网格单元模型的建模技术.基于这种统一的物性随机分布的网格介质模型,利用有限元方法和改进的射线追踪法分别正演计算大地电磁场和地震走时,结合改进的模拟退火算法,研究实现了电阻率和速度随机分布条件下的大地电磁与地震资料的同步联合反演.对物性界面不完全一致和物性变化剧烈的带地形复杂模型的试验,表明了该方法在精细反演复杂电阻率和速度结构方面的效果,克服了以往研究局限于简单模型的不足.对地震资料品质差的地区开展的实际资料联合反演,表明了方法的适用性,先验信息约束下的联合反演提高了反演精度. 相似文献
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The problem of equivalence in direct current (DC) resistivity and electromagnetic methods for a thin resistive and conducting layer is well‐known. Attempts have been made in the past to resolve this problem through joint inversion. However, equivalence still remains an unresolved problem. In the present study, an effort is made to reduce non‐uniqueness due to equivalence using global optimization and joint inversion by successive refinement of the model space. A number of solutions derived for DC resistivity data using very fast simulated annealing global inversion that fits the observations equally well, follow the equivalence principle and show a definite trend. For a thin conductive layer, the quotient between resistivity and thickness is constant, while for a resistive one, the product between these magnitudes is constant. Three approaches to obtain very fast simulated annealing solutions are tested. In the first one, layer resistivities and thicknesses are optimized in a linear domain. In the second, layer resistivities are optimized in the logarithmic domain and thicknesses in the linear domain. Lastly, both layer resistivities and thicknesses are optimized in the logarithmic domain. Only model data from the mean models, corresponding to very fast simulated annealing solutions obtained for approach three, always fit the observations. The mean model defined by multiple very fast simulated annealing solutions shows extremely large uncertainty (almost 100%) in the final solution after inversion of individual DC resistivity or electromagnetic (EM) data sets. Uncertainty associated with the intermediate resistive and conducting layers after global optimization and joint inversion is still large. In order to reduce the large uncertainty associated with the intermediate layer, global optimization is performed over several iterations by reducing and redefining the search limits of model parameters according to the uncertainty in the solution. The new minimum and maximum limits are obtained from the uncertainty in the previous iteration. Though the misfit error reduces in the solution after successive refinement of the model space in individual inversion, it is observed that the mean model drifts away from the actual model. However, successive refinement of the model space using global optimization and joint inversion reduces uncertainty to a very low level in 4–5 iterations. This approach works very well in resolving the problem of equivalence for resistive as well as for conducting layers. The efficacy of the approach has been demonstrated using DC resistivity and EM data, however, it can be applied to any geophysical data to solve the inherent ambiguities in the interpretations. 相似文献
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Use of VFSA for resolution, sensitivity and uncertainty analysis in 1D DC resistivity and IP inversion 总被引：1，自引：0，他引：1
We present results from the resolution and sensitivity analysis of 1D DC resistivity and IP sounding data using a non-linear inversion. The inversion scheme uses a theoretically correct Metropolis–Gibbs' sampling technique and an approximate method using numerous models sampled by a global optimization algorithm called very fast simulated annealing (VFSA). VFSA has recently been found to be computationally efficient in several geophysical parameter estimation problems. Unlike conventional simulated annealing (SA), in VFSA the perturbations are generated from the model parameters according to a Cauchy-like distribution whose shape changes with each iteration. This results in an algorithm that converges much faster than a standard SA. In the course of finding the optimal solution, VFSA samples several models from the search space. All these models can be used to obtain estimates of uncertainty in the derived solution. This method makes no assumptions about the shape of an a posteriori probability density function in the model space. Here, we carry out a VFSA-based sensitivity analysis with several synthetic and field sounding data sets for resistivity and IP. The resolution capability of the VFSA algorithm as seen from the sensitivity analysis is satisfactory. The interpretation of VES and IP sounding data by VFSA, incorporating resolution, sensitivity and uncertainty of layer parameters, would generally be more useful than the conventional best-fit techniques. 相似文献
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Global optimization with very fast simulated annealing (VFSA) in association with joint inversion is performed for 1D earth structures. The inherent problems of equivalence and suppression in electromagnetic (EM) and direct current (DC) resistivity methods are studied. Synthetic phase data from multifrequency sounding using a horizontal coplanar coil system and synthetic apparent resistivity data from Schlumberger DC resistivity measurements are inverted individually and jointly over different types of layered earth structures. Noisy data are also inverted. The study reveals that global optimization of individual data sets cannot solve inherent equivalence or suppression problems. Joint inversion of EM and DC measurements can overcome the problem of equivalence very well. However, a suppression problem cannot be solved even after combination of data sets. This study reveals that the K-type earth structure is easiest to resolve while the A-type is the most difficult. We also conclude that the equivalence associated with a thin resistive layer can be resolved better than that for a thin conducting layer. 相似文献
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过套管电阻率测井是通过测量套管壁电势实现测量地层的视电阻率,基于传输线方程理论,针对层状地层,给出了套管壁电势、电流对地层横向电阻导数的微分方程(称Jacobi矩阵微分方程)及边界条件;利用Jacobi矩阵微分方程边值问题导出了过套管电阻率测井反演地层参数的Jacobi矩阵系数的解析表示,利用Marquardt方法实现了过套管测井的地层电阻率反演;通过计算对Jacobi矩阵的特性进行了探讨,并获得了较快的计算速度(因为Jacobi矩阵是用解析解表示的),反演结果与地层模型取得了较好的逼近.本文实现了过套管电阻率测井地层参数的Jacobi系数矩阵的快速计算及地层电阻率反演,为进一步开展电阻率测井数据处理提供了理论依据和快速反演算法. 相似文献