海洋CSEM资料二维反演模型的变空间迭代恢复
Space-Varying Iterative Restoration of 2-D Inversion Models Computed from Marine CSEM Data
摘要：
海洋可控源电磁（CSEM）既用于大规模地球物理应用，也用于碳氢化合物和天然气水合物的勘探。由于EM场的扩散特性，仅使用非常低的频率，导致具有相当低分辨率的反演结果。在本文中，我们计算了与反演相关的分辨矩阵，并导出了相应的点扩散函数。PSF给出了关于实际反演已经模糊了多少的信息，并且因此使用空间变化反褶积可以进一步改善反演结果。实际的去模糊是利用非负柔性共轭梯度最小二乘算法（NN-FCGLS），这是一种快速迭代恢复技术。为了完整性，我们还介绍了通过使用基于极大似然估计（MLE）与未知PSF的盲反卷积算法获得的结果。所提出的方法的潜力已被证明使用复杂的合成数据以及在巴伦支海的Wisting油田获得的现场数据。在这两种情况下，最终反演结果的分辨率都有所提高，并与已知目标区域显示出更好的一致性。
英文摘要：
Marine Controlled Source Electromagnetic (CSEM) is employed both in large-scale geophysical applications as well as within exploration of hydrocarbons and gas hydrates. Due to the diffusive character of the EM field only very low frequencies are used leading to inversion results with rather low resolution. In this paper, we calculate the resolution matrix associated with the inversion and derive the corresponding point spread functions (PSFs). The PSFs give information about how much the actual inversion has been blurred, and use of space-varying deconvolution can therefore further improve the inversion result. The actual deblurring is carried out by use of the nonnegative flexible conjugate gradient algorithm for least squares problem (NN-FCGLS), which is a fast iterative restoration technique. For completeness, we also introduce results obtained by use of a blind deconvolution algorithm based on maximum likelihood estimation (MLE) with unknown PSFs. The potential of the proposed approaches have been demonstrated using both complex synthetic data as well as field data acquired at the Wisting oil field in the Barents Sea. In both cases, the resolution of the final inversion result has improved and shows better agreement with the known target area.
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