[1] COATES G, MENGER S, PRAMMER M, et al. Applying NMR total and effective porosity to formation evaluation[C]. SPE Technical Conference and Exhibition, 1997. [2] 王筱文, 肖立志, 谢然红, 等. 中国陆相地层核磁共振孔隙度研究[J]. 中国科学:物理学、力学、天文学, 2006, 36(4):366-374. [3] XIAO L Z. Some important issues for NMR logging applications in China[J]. Well Logging Technology, 2007, 31(5):401-407.肖立志. 我国核磁共振测井应用中的若干重要问题[J]. 测井技术, 2007, 31(5):401-407. [4] 谢然红, 肖立志, 王忠东, 等. 复杂流体储层核磁共振测井孔隙度影响因素[J]. 中国科学:地球科学, 2008(s1):194-199. [5] LIAO G Z, XIAO L Z, XIE R H, et al. Influence of internal magnetic field gradient on nuclear magnetic resonance of volcanic rocks and its detection method[J]. Journal of China University of Petroleum, 2009, 33(5):56-60. 廖广志, 肖立志, 谢然红, 等. 内部磁场梯度对火山岩核磁共振特性的影响及其探测方法[J]. 中国石油大学学报(自然科学版), 2009, 33(5):56-60. [6] WANG W M, YE C H, GUO H K. Experimental studies of NMR properties of continental sedimentary rocks[J]. Chinese J Magn Reson, 2001, 18(2):113-121. 王为民, 叶朝辉, 郭和坤. 陆相储层岩石核磁共振物理特征的实验研究[J]. 波谱学杂志, 2001, 18(2):113-121. [7] XIE R H, XIAO L Z, DUNN K J. NMR logging porosity activation and data processing method[J]. Chinese Journal of Geophysics, 2006, 49(5):1567-1572. 谢然红, 肖立志, 邓克俊. 核磁共振测井孔隙度观测模式与处理方法研究[J]. 地球物理学报, 2006, 49(5):1567-1572. [8] ZHANG G, HE Z B, CAO W Q, et al. Effect of the echo time on NMR apparent porosity and the correction method[J]. Chinese J Magn Reson, 2020, 37(2):172-181. 张宫, 何宗斌, 曹文倩, 等. 回波间隔对核磁共振表观孔隙度的影响及矫正方法[J]. 波谱学杂志, 2020, 37(2):172-181. [9] SHAO W Z, DING Y J, WANG Q M, et al. A quantitative evaluation method for heavy-oil reservoir with NMR log data[J]. Well Logging Technology, 2006, 30(1):67-71.邵维志, 丁娱娇, 王庆梅, 等. 用核磁共振测井定量评价稠油储层的方法[J]. 测井技术, 2006, 30(1):67-71. [10] MINH C C, GUBELIN G, RAMAMOORYHY R, et al. Sonic-magnetic resonance method:A sourceless porosity evaluation in gas-bearing reservoirs[J]. SPE Reservoir Evaluation & Engineering, 2001, 4(3):209-220. [11] MAO Z Q, ZHANG C, XIAO L. A NMR-based porosity calculation method for low porosity and low permeability gas reservoir[J]. Oil Geophysical Prospecting, 2010, 45(1):105-109.毛志强, 张冲, 肖亮. 一种基于核磁共振测井计算低孔低渗气层孔隙度的新方法[J]. 石油地球物理勘探, 2010, 45(1):105-109. [12] ZHOU Y, WEI G Q, GUO H K. Improvement of nuclear magnet resource reservoir porosity measuring accuracy by artificial intelligent algorithm[J]. Journal of Xian Shiyou University, 2011, 26(5):40-43. 周宇, 魏国齐, 郭和坤. 应用人工智能优化降低核磁共振孔隙度测量误差[J]. 西安石油大学学报(自然科学版), 2011, 26(5):40-43. [13] WU F, SIMA L Q, LING H S. Analysis and correction of low reservoir porosity derived from NMR log in the Kunbei area[J]. Special Oil & Gas Reservoirs, 2014, 21(2):75-79.吴丰, 司马立强, 令狐松, 等. 昆北地区储层核磁共振孔隙度偏低分析及校正[J]. 特种油气藏, 2014, 21(2):75-79. [14] ZHENG Y, XU J X, LIU H, et al. A permeability evaluation method based on NMR logging while drilling and its application:Taking paleogene Shahejie formation in Jinzhou oilfield of Bohai sea as an example[J]. Chia Offshore Oil and Gas, 2019, 31(2):69-75. 郑炀, 徐锦绣, 刘欢, 等. 基于随钻核磁测井的渗透率评价方法及其应用-以渤海锦州油田古近系沙河街组为例[J]. 中国海上油气, 2019, 31(2):69-75. [15] WANG Z D, WANG H, LI N G, et al. Analysis of core NMR data from laboratory measurements[J]. Well Logging Technology, 2001, 25(3):170-170.王忠东, 汪浩, 李能根, 等. 核磁共振岩心基础实验分析[J]. 测井技术, 2001, 25(3):170-170. [16] WANG Z Z, DENG M Y, ZHAI S D, et al. Factors affecting NMR T2 spectra of oil well samples and methods for determining the T2 cutoff value[J]. Chinese J Magn Reson, 2006, 23(1):143-151.王志战, 邓美寅, 翟慎德, 等. 油井样品NMR T2谱的影响因素及T2截止值的确定方法[J]. 波谱学杂志, 2006, 23(1):143-151. [17] GONG G B, SUN B Q, LIU M L, et al. NMR relaxation of the fluid in rock porous media[J]. Chinese J Magn Reson, 2006, 23(3):379-395.龚国波, 孙伯勤, 刘买利, 等. 岩心孔隙介质中流体的核磁共振弛豫[J]. 波谱学杂志, 2006, 23(3):379-395. [18] XIE R H, XIAO L Z, LIU T D. NMR relaxation properties of crude oils[J]. Journal of Southwest Petroleum University, 2007, 29(5):21-24.谢然红, 肖立志, 刘天定. 原油的核磁共振弛豫特性[J]. 西南石油大学学报(自然科学版), 2007, 29(5):21-24. [19] 廖广志, 肖立志. 孔隙尺度侵入模型的核磁共振测井响应特征研究[C]. 全国波谱学学术会议, 2010. [20] 匡立春, 孙中春, 毛志强, 等. 核磁共振测井技术在准噶尔盆地油气勘探开发中的应用[M]. 北京:石油工业出版社, 2015. [21] STRALEY C, ROSSINI D, VINEGR H, et al. Core analysis by low field NMR[R]. The Society of Core Analysts, SCA-9404, 1994. [22] MAO Z Q, XIAO L, WANG Z N, et al. Estimation of permeability by integrating nuclear magnetic resonance (NMR) logs with mercury injection capillary pressure (MICP) data in tight gas sands[J]. Applied Magnetic Resonance, 2013, 44(4):449-468. [23] XIAO L, MAO Z Q, LI J, et al. Effect of hydrocarbon on evaluating formation pore structure using nuclear magnetic resonance (NMR) logging[J]. Fuel, 2018, 216:199-207. [24] KENYON W E. Petrophysical principles of applications of NMR logging[J]. The Log Analysis, 1997, 38(3):21-43. |