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AAPG Bulletin, Preliminary version published online Ahead of Print 1 October 2022.

Copyright © 2022. The American Association of Petroleum Geologists. All rights reserved.

DOI:10.1306/06282218185

An Empirical Method to Correct NMR Porosity of Tight Sandstone Using Low Field Nuclear Magnetic Resonance Data

Xinmin Ge123 , Yiren Fan12 , Jianyu Liu4 , Donghui Xing3 , Hongjun Xu15 , and Falong Hu5

1 School of Geosciences, China University of Petroleum (East China), Qingdao, China
2 Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
3 Key Laboratory of Marine Mineral Resources, Ministry of Land and Resources, Guangzhou, China
4 PetroChina Research Institute of Petroleum Exploration and Development-Northwest, Lanzhou, China
5 PetroChina Research Institute of Petroleum Exploration & Development, Beijing, China

Ahead of Print Abstract

Low filed NMR technology has been widely used in laboratory core analysis and formation evaluation since the recording signal is only sensitive to the number of hydrogens in fluid, and the rock matrix has no contribution to the NMR response. However, it is a challenge to obtain accurate porosity from NMR logging in tight sandstone formation due to the effect of echo spacing on short T2 fluid components in T2 distribution. The aim of this paper is to establish an empirical method to correct NMR porosity of tight sandstone by using multi-echo spacing laboratory experiment, dual T2 cutoff model and graph non-negative matrix factorization. The effect of echo spacing on the transverse relaxation spectrum is investigated and corrected for different relaxation ranges which are determined by the dual T2 cutoff model. The graph non-negative matrix factorization is adopted to separate the relaxation components from T2 spectrum, aiming to eliminate the effect of hydrocarbon. This study demonstrated that the corrected NMR porosity agrees well with the laboratory data. This method can be easily extended in other tight sandstone formation to realize NMR porosity correction.

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Please cite this AAPG Bulletin Ahead of Print article as:

Xinmin Ge , Yiren Fan , Jianyu Liu , Donghui Xing , Hongjun Xu , Falong Hu: An Empirical Method to Correct NMR Porosity of Tight Sandstone Using Low Field Nuclear Magnetic Resonance Data, (in press; preliminary version published online Ahead of Print 01 October 2022: AAPG Bulletin, DOI:10.1306/06282218185.

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