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A Novel Efficient Inversion Method for Three-Dimensional NMRNormal access

Authors: X. Hu, Y. Fan, X. Yuan and P. Zhan
Event name: 80th EAGE Conference and Exhibition 2018
Session: Petrophysics I
Publication date: 11 June 2018
DOI: 10.3997/2214-4609.201800782
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 601Kb )
Price: € 20

As three dimensional (3D) NMR spectrum could provide distributions of longitudinal relaxation time (T1), transverse relaxation time (T2) and diffusivity (D) simultaneously, it greatly improves the capacity of fluid identification, typing and quantitative evaluation. However, several challenges, which significantly hindering its wide applications, still exist. One of them is the expensive time and memory cost of the current 3D NMR inversion algorithms. In this paper, a novel 3D NMR inversion, namely randomized singular value decomposition (RSVD), was introduced. It could reduce the memory occupation and ensure the computational efficiency and accuracy. To further speed up the computational speed, window averaging technique (WA) is also adopted in this paper. Because of the efficiency and stability of this novel algorithm and the optimized method, the current research in this paper would further promote the widespread application of 3D NMR.

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