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A Novel Method to Enhance the Inversion Speed and Precision of the NMR T2 Spectrum by the TSVD Based Linearized Bregman Iteration

Yiguo Chen1,2,3,*, Congjun Feng1,2, Yonghong He3, Zhijun Chen3, Xiaowei Fan3, Chao Wang3, Xinmin Ge4

1 State Key Laboratory of Continental Dynamics, Northwest University, Xi’an, 710069, China
2 Department of Geology, Northwest University, Xi’an, 710069, China
3 Reseach Institute of Shaanxi Yanchang Petroleum (Group) Co., Ltd., Xi’an, 710075, China
4 School of Geosciences, China University of Petroleum, Qingdao, 266580, China

* Corresponding Author: Yiguo Chen. Email: email

(This article belongs to this Special Issue: Modeling of Fluids Flow in Unconventional Reservoirs)

Computer Modeling in Engineering & Sciences 2023, 136(3), 2451-2463. https://doi.org/10.32604/cmes.2023.021145

Abstract

The low-field nuclear magnetic resonance (NMR) technique has been used to probe the pore size distribution and the fluid composition in geophysical prospecting and related fields. However, the speed and accuracy of the existing numerical inversion methods are still challenging due to the ill-posed nature of the first kind Fredholm integral equation and the contamination of the noises. This paper proposes a novel inversion algorithm to accelerate the convergence and enhance the precision using empirical truncated singular value decompositions (TSVD) and the linearized Bregman iteration. The L1 penalty term is applied to construct the objective function, and then the linearized Bregman iteration is utilized to obtain fast convergence. To reduce the complexity of the computation, empirical TSVD is proposed to compress the kernel matrix and determine the appropriate truncated position. This novel inversion method is validated using numerical simulations. The results indicate that the proposed novel method is significantly efficient and can achieve quick and effective data solutions with low signal-to-noise ratios.

Graphical Abstract

A Novel Method to Enhance the Inversion Speed and Precision of the NMR T<sub>2</sub> Spectrum by the TSVD Based Linearized Bregman Iteration

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Cite This Article

Chen, Y., Feng, C., He, Y., Chen, Z., Fan, X. et al. (2023). A Novel Method to Enhance the Inversion Speed and Precision of the NMR T2 Spectrum by the TSVD Based Linearized Bregman Iteration. CMES-Computer Modeling in Engineering & Sciences, 136(3), 2451–2463.



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