透過您的圖書館登入
IP:18.117.103.219
  • 期刊

A Prestack Three-parameter Inversion Method based on ATpV Regularization

摘要


The Seismic pre-stack inversion technology can make full use of pre-stack information to accurately predict various parameters of reservoir media, which greatly enriches the means of describing reservoirs and is widely used in oil and gas exploration and development. However, seismic inversion is a typical ill-posed problem. Using regularization can overcome this problem and reduce the ill-posedness of the inversion problem. In this paper, a prestack three-parameter inversion method based on ATpV regularization is proposed. This method introduces ATpV regularization into prestack inversion, which effectively solves the ill-posed problem of inversion. The experimental results show that this method has the advantages of small inversion error and good sparsity.

參考文獻


Arild Buland, Henning Omre. Bayesian linearized AVO inversion[J]. Geophysics, 2003, 68(1): 185-198.
Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physica D, 1992, 60(1): 259-268.
Wang D, Gao J, Zhou H. Data-driven multichannel seismic impedance inversion with anisotropic total variation regularization[J]. Journal of Inverse and Ill-Posed Problems, 2018, 26(2): 229-241.
Yangting Liu, Chenguang Liu, Chengliang Xie, Qing-Xian Zhao. A Hybrid Regularization Operator and Its Application in Seismic Inversion[J]. IEEE Access, 2021, 9: 378-387.
Li S, He YM, Chen YP, Liu W, Yang X, Peng ZM. Fast multi-trace impedance inversion using anisotropic total p-variation regularization in the frequency domain(Article)[J]. Journal of Geophysics and Engineering, 2018, 15(5): 2171-2182.

延伸閱讀