Method of Determining Unconventional Reservoir Saturation with NMR Logging

Author:

Ye Shin-Ju1,Scribner Allison1,McLendon Darren1,Ijasan Olabode1,Chen Songhua2,Shao Wei2,Balliet Ron2

Affiliation:

1. ExxonMobil

2. Halliburton

Abstract

Abstract Nuclear magnetic resonance (NMR) T1-T2 logs from several west Texas wells over various formation layers were acquired to assess the values of NMR logging for fluid typing and saturation quantification in tight mudstone reservoirs. To quantify fluids in those low-porosity formations, high-density NMR data with adequate signal-to-noise ratio (SNR) are essential, and an inversion algorithm capable of resolving fluids on T1-T2 map is needed. These requirements are achieved with multifrequency data acquisition having a short interecho spacing (TE) for all frequencies, which yields a total of 15,400 echoes per depth in a single NMR pulse sequence cycle. This large data density enables less vertical averaging to be needed in both 1D and 2D processing, which is essential for capturing the porosity and fluid volume variation in these layered formations. The use of the inversion-forward modeling-inversion (IFMI) method improves the spectral resolution of the relaxation time distribution and T1-T2 map resolution because the method adequately addresses the effect of gradient differences in NMR responses in multifrequency data acquisition. 2D T1-T2 map fluid resolution of downhole stations and moving logs are compared to determine the minimal stacking required for fluid discrimination. The porosity and water volume are compared with those of conventional and mineralogy logs.

Publisher

SPE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learnings From Impact and Implications of Signal-To-Noise in NMR T1-T2 Logging of Unconventional Reservoirs;Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description;2023-12-01

2. Variational Mode Decomposition for NMR Echo Data Denoising;IEEE Transactions on Geoscience and Remote Sensing;2023

3. Surface relaxivities and bulk relaxation times from nuclear magnetic resonance T1-T2 logging in unconventional reservoirs;GEOPHYSICS;2022-07-01

4. NMR T1-T2 Logging in Unconventional Reservoirs: Pore-Size Distribution, Permeability, and Reservoir Quality;Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description;2022-06-01

5. NMR Logging Data Processing;Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description;2022-06-01

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