Yang Jixin, He Xiao, Chen Hao, Li Jiacheng, Wang Wenwen
State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Sensors (Basel). 2024 Apr 30;24(9):2881. doi: 10.3390/s24092881.
Full waveform inversion (FWI) is recognized as a leading data-fitting methodology, leveraging the detailed information contained in physical waveform data to construct accurate, high-resolution velocity models essential for crosshole surveys. Despite its effectiveness, FWI is often challenged by its sensitivity to data quality and inherent nonlinearity, which can lead to instability and the inadvertent incorporation of noise and extraneous data into inversion models. To address these challenges, we introduce the scale-aware edge-preserving FWI (SAEP-FWI) technique, which integrates a cutting-edge nonlinear anisotropic hybrid diffusion (NAHD) filter within the gradient computation process. This innovative filter effectively reduces noise while simultaneously enhancing critical small-scale structures and edges, significantly improving the fidelity and convergence of the FWI inversion results. The application of SAEP-FWI across a variety of experimental and authentic crosshole datasets clearly demonstrates its effectiveness in suppressing noise and preserving key scale-aware and edge-delineating features, ultimately leading to clear inversion outcomes. Comparative analyses with other FWI methods highlight the performance of our technique, showcasing its ability to produce images of notably higher quality. This improvement offers a robust solution that enhances the accuracy of subsurface imaging.
全波形反演（FWI）被认为是一种领先的数据拟合方法，它利用物理波形数据中包含的详细信息来构建用于井间调查的准确、高分辨率速度模型。尽管FWI很有效，但它常常受到对数据质量的敏感性和固有的非线性的挑战，这可能导致不稳定性以及噪声和无关数据被无意中纳入反演模型。为了应对这些挑战，我们引入了尺度感知边缘保留全波形反演（SAEP-FWI）技术，该技术在梯度计算过程中集成了一种前沿的非线性各向异性混合扩散（NAHD）滤波器。这种创新的滤波器有效地降低了噪声，同时增强了关键的小尺度结构和边缘，显著提高了全波形反演结果的保真度和收敛性。SAEP-FWI在各种实验和真实井间数据集上的应用清楚地证明了其在抑制噪声和保留关键的尺度感知和边缘描绘特征方面的有效性，最终导致清晰的反演结果。与其他全波形反演方法的对比分析突出了我们技术的性能，展示了其生成质量明显更高的图像的能力。这一改进提供了一个强大的解决方案，提高了地下成像的准确性。
