核磁共振T_2弛豫仿真软件研发及在岩心核磁实验中的应用
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摘要
开发一套核磁共振T_2(横向弛豫)弛豫仿真软件,考虑了不完全极化、扩散弛豫、信噪比等多种因素,完成岩心核磁共振实验及井下核磁共振测井的数值模拟。仿真软件由弛豫谱构造、模拟数据采集和回波拟合三个模块构成,采用实时图形化显示,可以同时模拟多种流体的T_2弛豫过程。该软件使用简单,结果精确,可在核磁共振反演算法、油气识别算法、岩心核磁实验参数优化等多个领域发挥作用。
We developed a set of nuclear magnetic resonance(NMR) T_2 relaxation simulation software. The software considered many factors, such as incomplete polarization, diffusion relaxation and signal-to-noise ratio. It could complete core NMR experiments and numerical simulation of NMR logging. The simulation software consisted of three modules: relaxation spectrum structure, analog data acquisition and echo fitting. It could simulate the T_2 relaxation process of various fluids simultaneously by using real-time graphical display. The software is simple in use and accurate in results. It can play an important role in many fields, such as NMR inversion algorithm, oil and gas identification algorithm, core NMR experiment parameter optimization and so on.
We developed a set of nuclear magnetic resonance(NMR) T_2 relaxation simulation software. The software considered many factors, such as incomplete polarization, diffusion relaxation and signal-to-noise ratio. It could complete core NMR experiments and numerical simulation of NMR logging. The simulation software consisted of three modules: relaxation spectrum structure, analog data acquisition and echo fitting. It could simulate the T_2 relaxation process of various fluids simultaneously by using real-time graphical display. The software is simple in use and accurate in results. It can play an important role in many fields, such as NMR inversion algorithm, oil and gas identification algorithm, core NMR experiment parameter optimization and so on.
引文
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[2] 李鹏举, 张智鹏, 姜大鹏. 核磁共振测井流体识别方法综述[J]. 测井技术, 2011, 35(5):396-401.
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[6] 范宜仁,倪自高,邓少贵,等. 储层性质与核磁共振测量参数的实验研究[J]. 石油实验地质, 2005, 27(6): 624-626.
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[8] 孙建孟,宗成林,董旭,等. 基于核磁共振的页岩粉碎样品孔隙度研究[J]. 测井技术, 2017, 41(5): 512-516.
[9] 王为民, 李培, 叶朝辉. 核磁共振弛豫信号的多指数反演[J]. 中国科学(A辑), 2001, 31(8):59-65.
[10] 廖广志, 肖立志, 谢然红,等. 孔隙介质核磁共振弛豫测量多指数反演影响因素研究[J]. 地球物理学报, 2007, 50(3):932-938.
[11] 姜瑞忠, 姚彦平, 苗盛,等. 核磁共振T2谱奇异值分解反演改进算法[J]. 石油学报, 2005, 26(6):57-59.
[12] 王忠东, 肖立志, 刘堂宴. 核磁共振弛豫信号多指数反演新方法及其应用[J]. 中国科学G辑:物理学、力学、天文学, 2003, 33(4):323-332.
[13] 谢然红, 肖立志, 刘家军,等. 核磁共振多回波串联合反演方法[J]. 地球物理学报, 2009, 52(11):2913-2919.
[14] 吴量, 陈方, 黄重阳,等. 基于改进非线性拟合的核磁共振T2谱多指数反演[J]. 物理学报, 2016, 65(10):300-310.
[15] Butler J P, Reeds J A, Dawson S V. Estimating solutions of first kind integral equations with nonnegative constraints and optimal smoothing[J]. SIAM Journal on Numerical Analysis, 1981, 18(3):381-397.
[2] 李鹏举, 张智鹏, 姜大鹏. 核磁共振测井流体识别方法综述[J]. 测井技术, 2011, 35(5):396-401.
[3] Vinegar H J, Akkurt R, Tutunjian P N. NMR logging of natural gas in reservoirs: US, US5498960[P]. 1996.
[4] Coates G, Xiao L, Prammer M. NMR logging: principles and applications[M]. Halliburton Energy Services, 1999.
[5] 郝乐伟,王琪,唐俊. 储层岩石微观孔隙结构研究方法与理论综述[J]. 岩性油气藏, 2013, 25(5): 123-128.
[6] 范宜仁,倪自高,邓少贵,等. 储层性质与核磁共振测量参数的实验研究[J]. 石油实验地质, 2005, 27(6): 624-626.
[7] 高明哲,邹长春,彭诚,等. 页岩储层岩心核磁共振实验参数选取方法研究[J]. 工程地球物理学报, 2016, 13(3): 263-270.
[8] 孙建孟,宗成林,董旭,等. 基于核磁共振的页岩粉碎样品孔隙度研究[J]. 测井技术, 2017, 41(5): 512-516.
[9] 王为民, 李培, 叶朝辉. 核磁共振弛豫信号的多指数反演[J]. 中国科学(A辑), 2001, 31(8):59-65.
[10] 廖广志, 肖立志, 谢然红,等. 孔隙介质核磁共振弛豫测量多指数反演影响因素研究[J]. 地球物理学报, 2007, 50(3):932-938.
[11] 姜瑞忠, 姚彦平, 苗盛,等. 核磁共振T2谱奇异值分解反演改进算法[J]. 石油学报, 2005, 26(6):57-59.
[12] 王忠东, 肖立志, 刘堂宴. 核磁共振弛豫信号多指数反演新方法及其应用[J]. 中国科学G辑:物理学、力学、天文学, 2003, 33(4):323-332.
[13] 谢然红, 肖立志, 刘家军,等. 核磁共振多回波串联合反演方法[J]. 地球物理学报, 2009, 52(11):2913-2919.
[14] 吴量, 陈方, 黄重阳,等. 基于改进非线性拟合的核磁共振T2谱多指数反演[J]. 物理学报, 2016, 65(10):300-310.
[15] Butler J P, Reeds J A, Dawson S V. Estimating solutions of first kind integral equations with nonnegative constraints and optimal smoothing[J]. SIAM Journal on Numerical Analysis, 1981, 18(3):381-397.