基于IR-BSSFP-CPMG脉冲序列的T1-T2频谱采集效率改进方法*

IF 4.2 2区地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers & Geosciences Pub Date : 2025-02-01 DOI:10.1016/j.cageo.2024.105792

Fu Zuo , Xinmin Ge , Lanchang Xing , Bohan Wu , Yiren Fan , Jackson Jervis Junior , Bin Wang

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引用次数: 0

摘要

纵向弛豫时间（T1）和横向弛豫时间（T2）的相关图提供了不同质子贡献的有价值信息，是非常规储层复杂弛豫组分识别、量化和表征的重要数据。但是，现有脉冲序列的采集速度和光谱分辨率不能同时保证。我们设计了一个改进的脉冲序列，该序列集成了反演恢复平衡稳态自由进动（IR-BSSFP）序列和carr - purcell - meiboomm - gill （CPMG）序列，允许测量二维T1-T2光谱。IR-BSSFP序列采用低重聚焦角和减小翻转角脉冲传输功率的方法，无需完全偏振。此外，通过数值模拟对改进后的脉冲序列的翻转角的取值、翻转角的个数、重复时间等参数进行了讨论。结果表明，新脉冲序列具有高精度的测量性能，可以在几秒内获得T1-T2频谱。

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An improved method to accelerate the acquisition efficiency of the T1-T2 spectrum based on the IR-BSSFP-CPMG pulse sequence∗

The correlation map of the longitudinal relaxation time (T₁) and the transverse relaxation time (T₂) offers valuable information of different proton contributions and is served as a significant data for identifying, quantifying and characterizing complex relaxation components in unconventional reservoirs. However, the acquisition speed and spectral resolution for existing pulse sequences cannot be guaranteed simultaneously. We designed an improved pulse sequence which integrates the inversion recovery-balanced steady-state free precession (IR-BSSFP) sequence and the Carr-Purcell-Meiboom-Gill (CPMG) sequence, allowing for the measurement of two-dimensional T₁-T₂ spectrums. The IR-BSSFP sequence adopts a low refocusing angle and reduced flip angle pulse transmission power, eliminating the need for complete polarization. Moreover, the parameters of the improved pulse sequence such as the value and the number of the flip angle, the repetition time are discussed by numerical simulations. The result showed that the new pulse sequence achieves high-precision measurement performance, and the T₁-T₂ spectrum can be achieved within a few seconds.

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来源期刊

Computers & Geosciences 地学-地球科学综合

CiteScore

9.30

自引率

6.80%

发文量

164

审稿时长

3.4 months

期刊介绍： Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.