Abstract:Clay bound water is one of the important indicators of reservoir logging evaluation. The theoretical formula reflecting the relationship between the clay bound water porosity and the cation exchange capacity (CEC) of clay is derived in light of the diffuse double layer theory, and then the clay bound water porosity is determined through the core cation exchange experiment. Depending on nuclear magnetic resonance (NMR) and cation exchange experiments,this paper analyzes the error of determining clay bound water porosity by a traditional method of utilizing the T2 cutoff of 3ms clay bound water and clarifies the variation rules between the clay bound water porosity calculated by T2 cutoff and different NMR cutoff. A model is established for the calculation of clay bound water porosity with variable T2 cutoff of clay bound water. Further, a new method for its calculation in NMR logging is developed, with the specific calculation steps given in the paper. The application results show that the method is more reasonable and more suitable for core analysis than the traditional 3ms NMR logging method,which is an effective means of clay bound water evaluation.
陆云龙, 崔云江, 朱猛, 赵书铮. 核磁共振测井黏土束缚水计算新方法[J]. 石油地球物理勘探, 2022, 57(3): 713-718.
LU Yunlong, CUI Yunjiang, ZHU Meng, ZHAO Shuzheng. A new method for calculating clay bound water in NMR logging. Oil Geophysical Prospecting, 2022, 57(3): 713-718.
冯渊, 秦康, 李二党, 等. 基于黏土矿物分析的低电阻率油层识别[J]. 新疆石油地质, 2020, 41(2):237-242.FENG Yuan, QIN Kang, LI Erdang, et al. Identification of low-resistivity oil layers based on clay mineral analysis[J]. Xinjiang Petroleum Geology, 2020, 41(2):237-242.
[2]
张丽华, 潘保芝, 王云梅, 等. 砂岩中绿泥石包膜与岩石润湿性及岩电参数的关系研究[J]. 石油物探, 2020, 59(4):647-654.ZHANG Lihua, PAN Baozhi, WANG Yunmei, et al. Relationship between pore-lining chlorite and wettability of rocks, and rock electrical parameters of sandstone[J]. Geophysical Prospecting for Petroleum, 2020, 59(4):647-654.
[3]
郑观有, 韩晓程, 杨可, 等. 黏土矿物对储层饱和度实验结果的影响及解决方法探讨[J]. 石化技术, 2021, 28(2):134-136.ZHENG Guanyou, HAN Xiaocheng, YANG Ke, et al. The influence and solution of clay minerals on the experimental results of reservoir saturation[J]. Petrochemical Industry Technology, 2021, 28(2):134-136.
[4]
HILL H J, MILBURN J D. Effect of clay and water salinity on electrochemical behavior of reservoir rocks[J]. Transactions of the AIME, 1956, 207(1):65-72.
[5]
GRISMER M E. Water vapor adsorption kinetics and isothermal infiltration[J]. Soil Science, 1988, 146(5):297-302.
[6]
FUKUE M, MINATO T, CHIDA T. Thickness of adsorbed water layer for clay particles[J]. Clay Science for Engineering, 2001:423-427.
[7]
袁建滨. 黏土中结合水特性及其测试方法研究[D].广东广州:华南理工大学, 2012.YUAN Jianbin. The Study for Properties of Bound Water on Clayey Soils and Their Quantitative Me-thods[D]. South China University of Technology, Guangzhou, Guangdong, China, 2012.
[8]
WAXMAN M H, SMITS L J M. Electrical conductivities in oil-bearing shaly sands[J]. Society of Petroleum Engineers Journal, 1968, 8(2):107-122.
[9]
CLAVIER C, COATES G, DUMANOIR J. Theoretical and experimental bases for the dual water model for interpretation of shaly sands[J]. Society of Petroleum Engineers Journal, 1984, 24(2):153-168.
[10]
贾景超, 杨庆. Gouy-Chapman双电层模型在蒙脱石长程膨胀中应用[J]. 大连理工大学学报, 2010, 50(2):239-244.JIA Jingchao, YANG Qing. Application of Gouy-Chapman double layer model to long-range swelling of montmorillonite[J]. Journal of Dalian University of Technology, 2010, 50(2):239-244.
[11]
崔云江, 王培春, 李瑞娟, 等. 基于扩散双电层理论的低对比度油层判别新方法[J]. 测井技术, 2018, 42(3):294-299.CUI Yunjing, WANG Peichun, LI Ruijuan, et al. New method for discrimination of low contrast reservoir based on diffusion double layer theory[J]. Well Logging Technology, 2018, 42(3):294-299.
[12]
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.MAO Zhiqiang, ZHANG Chong, XIAO Liang. A NMR-based porosity calculation method for low porosity and low permeability gas reservoir[J]. Oil Geo-physical Prospecting, 2010, 45(1):105-109.
[13]
刘卫, 肖忠祥, 杨思玉, 等. 利用核磁共振(NMR)测井资料评价储层孔隙结构方法的对比研究[J]. 石油地球物理勘探, 2009, 44(6):773-778.LIU Wei, XIAO Zhongxiang, YANG Siyu, et al. Comparative studies on methods of evaluation of re-servoir pore structure by using NMR (nuclear magnetic resonance) well logging data[J]. Oil Geophysical Prospecting, 2009, 44(6):773-778.
[14]
朱明, 贾春明, 穆玉庆, 等. 基于正态分布拟合的致密砂砾岩储层核磁共振测井可变T2截止值计算方法[J]. 石油地球物理勘探, 2021, 56(3):612-621.ZHU Ming, JIA Chunming, MU Yuqing, et al. A method of predicting T2 cutoffs from NMR logging data of tight glutenite reservoirs based on normal distribution simulation[J]. Oil Geophysical Prospecting, 2021, 56(3):612-621.
[15]
张冲, 张占松, 宋秋强. 基于岩心核磁共振实验数据确定阳离子交换容量[J]. 测井技术, 2013, 37(2):128-131.ZHANG Chong, ZHANG Zhansong, SONG Qiu-qiang. Qv determination based on NMR testing data[J]. Well Logging Technology, 2013, 37(2):128-131.
[16]
罗兴平, 苏东旭, 王振林, 等. 核磁共振测井在低阻油层评价中的应用——以准格尔盆地阜东斜坡头屯河组为例[J]. 新疆石油地质, 2017, 38(4):470-476.LUO Xingping, SU Dongxu, WANG Zhenlin, et al. Application of NMR logging in low-resistivity reservoir evaluation:a case study of Toutunhe formation on the eastern Fukang slope, Junggar basin[J]. Xinjiang Petroleum Geology, 2017, 38(4):470-476.
[17]
王伟, 赵延伟, 毛锐, 等. 页岩油储层核磁有效孔隙度起算时间的确定——以吉木萨尔凹陷二叠系芦草沟组页岩油储层为例[J]. 石油与天然气地质, 2019, 40(3):550-557.WANG Wei, ZHAO Yanwei, MAO Rui, et al. Determination of the starting time for measurement of NMR effective porosity in shale oil reservoir:a case study of the Permian Lucaogou shale oil reservoir, Jimusaer sag[J]. Oil & Gas Geology, 2019, 40(3):550-557.
[18]
雍世和, 张超谟. 测井数据处理与综合解释[M]. 山东东营:石油大学出版社, 2002, 188-192.YONG Shihe, ZHANG Chaomo. Logging Data Processing and Comprehensive Interpretation[M]. University of Petroleum Press, Dongying, Shandong, 2002, 188-192.
[19]
邓克俊, 谢然红. 核磁共振测井理论及应用[M]. 山东东营:中国石油大学出版社, 2010, 52-55.DENG Kejun, XIE Ranhong. Theory and Application of Nuclear Magnetic Resonance Logging[M]. China University of Petroleum Press, Dongying, Shandong, 2010, 52-55.