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Feasibility study for an anisotropic full waveform inversion of cross-well seismic data

机译:井间地震数据各向异性全波形反演的可行性研究

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Anisotropy is often observed due to the thin layering or aligned micro-structures, like small fractures. At the scale of cross-well tomography, the anisotropic effects cannot be neglected. In this paper, we propose a method of full-wave inversion for transversely isotropic media and we test its robustness against structured noisy data.rnOptimization inversion techniques based on a least-square formalism are used. In this framework, analytical expressions of the misfit function gradient, based on the adjoint technique in the time domain, allow one to solve the inverse problem with a high number of parameters and for a completely heterogeneous medium.rnThe wave propagation equation for transversely isotropic media with vertical symmetry axis is solved using the finite difference method on the cylindrical system of coordinates. This system allows one to model the 3D propagation in a 2D medium with a revolution symmetry. In case of approximately horizontal layering, this approximation is sufficient.rnThe full-wave inversion method is applied to a crosswell synthetic 2-component (radial and vertical) dataset generated using a 2D model with three different anisotropic regions. Complex noise has been added to these synthetic observed data. This noise is Gaussian and has the same amplitude f - k spectrum as the data. Part of the noise is localized as a coda of arrivals, the other part is not localized. Five parameter fields are estimated, (vertical) P-wave velocity, (vertical) S-wave velocity, volumetric mass and the Thomsen anisotropic parameters epsilon and delta. Horizontal exponential correlations have been used. The results show that the full-wave inversion of cross-well data is relatively robust for high-level noise even for second-order parameters such as Thomsen epsilon and delta anisotropic parameters.
机译:由于薄层或对齐的微观结构(如小裂缝),通常会观察到各向异性。在井间层析成像的规模上,各向异性效应不可忽略。本文提出了一种用于横观各向同性介质的全波反演方法,并针对结构噪声数据测试了其稳健性。本文采用了基于最小二乘形式化的优化反演技术。在这种框架下,基于时域的伴随技术,失配函数梯度的解析表达式使人们能够解决大量参数和完全非均质介质的反问题。rn横向各向同性介质的波动方程在圆柱坐标系上使用有限差分法求解具有垂直对称轴的轴。该系统允许以旋转对称性对2D介质中的3D传播进行建模。在近似水平分层的情况下,这种近似就足够了。全波反演方法适用于使用具有三个不同各向异性区域的2D模型生成的井间合成2分量(径向和垂直)数据集。复杂噪声已添加到这些合成的观测数据中。该噪声是高斯噪声,并且具有与数据相同的振幅f-k频谱。一部分噪音被定位为到达的尾声,另一部分则未被定位。估计了五个参数字段,(垂直)P波速度,(垂直)S波速度,体积质量以及Thomsen各向异性参数epsilon和δ。水平指数相关已被使用。结果表明,即使对于二阶参数(如Thomsen epsilon和δ各向异性参数),井间数据的全波反演对于高电平噪声也相对稳健。

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