远距离井间电磁成像测井系统的快速正演反演方法

Zhiqiang Yang, Yongli Ji, Zhiqiang Li, Huaxiong Wang, Fengyun Guo
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摘要

长距离井间电磁成像方法可以解释500米以上的地层剖面。地层资料反演的重点和难点在于反演成像的精度和速度。反演成像采用迭代方法,逐步减小正演模型与实测结果之间的差异,逼近真实地层。正演计算包括格林函数法、有限元法和有限差分法。轴对称坐标下格林函数法的计算过程简单,但需要知道背景电阻率。计算精度随距离的增加而降低,影响反演成像精度。有限元法和有限差分法在直角坐标系下建立大型线性方程组求解奇异矩阵,效率低下。反演成像的优点是可以用互易定理求解雅可比矩阵。本文首次提出了数值模式匹配法进行正演计算,该方法具有纵向分析和横向逼近的特点,同时兼顾了精度和效率。然而,在轴对称坐标系下,不能利用互易定理求解雅可比矩阵,通过差分逼近雅可比矩阵计算反演效率太低。本文提出了一种在轴对称坐标系下用格林函数法代替差分逼近法计算雅可比矩阵的快速算法。雅可比矩阵只能由一个正函数和一个格林函数的乘积得到。并与差分逼近法的结果进行了对比验证。大大提高了计算速度。地层模型下的仿真结果表明,采用改进的格林函数雅各布计算的高斯-牛顿逆算法在远距离井间电磁成像测井系统中是可行的,适用于轴对称二维非均匀地层。二维地层的参数和边界可以确定。速度比差分逼近法快几十倍。
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A Fast Forward and Inversion Method for Long Distance Cross-well Electromagnetic Imaging Logging System
Long distance cross-well electromagnetic imaging method can explain the formation profile more than 500 m. The emphasis and difficulty of formation data inversion focus on the accuracy and speed for inversion imaging. Inversion imaging uses iterative method to gradually reduce the difference between the forward model and the measured results to approximate the real formation. Forward calculation includes Green’s function method, finite element method and finite difference method. The calculation process of Green’s function method in axisymmetric coordinates is simple, but it needs to know the background resistivity. The calculation accuracy decreases with the increase of distance, which affects the inversion imaging accuracy. Finite element method and finite difference method establish large linear equations in Cartesian coordinates to solve the singular matrix, which is inefficient. The advantage of inversion imaging is that the Jacobian matrix can be solved by the reciprocity theorem. In this paper, numerical mode matching method is proposed for forward calculation for the first time, which has the characteristics of longitudinal analysis and lateral approximation, and takes into account both accuracy and efficiency. However, in axisymmetric coordinates, the reciprocity theorem cannot be used to solve Jacobian matrix, and the inversion efficiency is too low through difference approximated Jacob matrix calculation. In this paper, a fast algorithm for computing Jacobian matrix by using Green function method instead of difference approximation method is proposed under axisymmetric coordinates. Jacobian matrix can be obtained only by the product of one forward and one Green function. Then the method is verified by contrast with the result of difference approximation method. It improves the calculation speed significantly. The simulation results under formation model show that the Gauss-Newton inverse algorithm with modified Green function Jacob calculation applied in long distance cross-well electromagnetic imaging logging system is feasible for axial symmetry 2D non-uniform formation. The parameters and bounders can be determined for 2D formation. The speed is dozens of times faster than difference approximation method.
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