Q uantitative characterization of sandstone NMR T2 spectrum

doi:10.7623/syxb201603010

Acta Petrolei Sinica ›› 2016, Vol. 37 ›› Issue (3): 382-391,414.DOI: 10.7623/syxb201603010

• Oil Field Development • Previous Articles Next Articles

Q uantitative characterization of sandstone NMR T₂ spectrum

Bai Songtao¹, Cheng Daojie¹, Wan Jinbin¹, Yang Lin¹, Peng Hongli², Guo Xiaokai¹, Zeng Jingbo¹

1. Reservoir Evaluation Center, CNPC Well Logging Company Limited, Shaanxi Xi'an 710077, China;
2. Exploration and Development Research Institute, PetroChina Jidong Oilfield Company, Hebei Tangshan 063004, China

Received:2015-07-26 Revised:2016-01-12 Online:2016-03-25 Published:2016-04-12

砂岩岩石核磁共振T₂谱定量表征

白松涛¹, 程道解¹, 万金彬¹, 杨林¹, 彭洪立², 郭笑锴¹, 曾静波¹

1. 中国石油集团测井有限公司油气评价中心陕西西安 710077;
2. 中国石油冀东油田公司勘探开发研究院河北唐山 063004

通讯作者: 白松涛,男,1988年4月生,2010年获中国石油大学(北京)学士学位,现为中国石油集团测井有限公司油气评价中心工程师,主要从事岩石物理分析及测井资料解释评价工作。Email:baisongtao-123@163.com
作者简介:白松涛,男,1988年4月生,2010年获中国石油大学(北京)学士学位,现为中国石油集团测井有限公司油气评价中心工程师,主要从事岩石物理分析及测井资料解释评价工作。Email:baisongtao-123@163.com
基金资助:
国家重大科技专项(2011ZX05006-006,2011ZX05020-008)和中国石油集团重大工程关键技术装备研究与应用项目(2013E-38-09)资助。

Abstract

Abstract:

Based on the normal distribution model and hybrid geological empirical distribution model in statistics, two mathematical algorithms, i.e., graphic method and moment method, are used to study the quantitative characterization of nuclear magnetic resonance(NMR) T₂ spectrum, so as to extract 16 characteristic variables of NMR T₂ spectrum reflecting pore structure and fluid occurrence state. In combination with mercury-injection pore-throat distribution data, this study analyzes the petrophysical significances of NMR quantitative parameters and validates the reliability of the method that uses NMR quantitative parameters to characterize reservoir micro-pore structures. Based on the correlation analysis of NMR quantitative characterization parameters, the parameters are optimized to calculate reservoir permeability and irreducible water saturation. Compared with actual core analysis data, the new model shows favorable calculation results. In combination with regional reservoir capacity characteristics, the quantitative characterization parameters of NMR T₂ spectrum are applied for comprehensive classified evaluation. The practical application in a certain well block of Jidong oilfield demonstrates that the quantitative characterization parameters of NMR T₂ spectrum have favorable evaluation effects in the research of reservoir micro-pore structure characteristics, the calculation of reservoir permeability and irreducible water saturation, comprehensive reservoir classification and other aspects.

Key words: nuclear magnetic resonance, pore structure, reservoir classification, petrophysics, permeability

摘要：

基于统计学中的正态分布模型和地质混合经验分布模型,应用图解法和矩法2种数学算法,对核磁共振T₂谱进行定量表征研究,提取出核磁共振T₂谱反映自身孔隙结构及流体赋存状态信息的16项特征变量。在此基础上,结合压汞孔喉分布资料分析了核磁共振定量参数的岩石物理意义,验证了核磁共振定量参数表征储层微观孔隙结构方法的可靠性。在核磁共振定量表征参数相关性分析基础上,优选参数进行储层渗透率和束缚水饱和度求取,与实际岩心分析资料对比,新模型计算效果良好。进一步结合地区储层产能特征,利用核磁共振T₂谱定量表征参数对储层进行分类综合评价,在冀东油田某井区的实际应用效果表明,核磁共振T₂谱定量参数在储层微观孔隙结构特征研究、储层渗透率及束缚水饱和度计算、储层综合分类等方面均具有良好的评价效果。

关键词: 核磁共振, 孔隙结构, 储层分类, 岩石物理, 渗透率

CLC Number:

TE122.2

Bai Songtao, Cheng Daojie, Wan Jinbin, Yang Lin, Peng Hongli, Guo Xiaokai, Zeng Jingbo. Q uantitative characterization of sandstone NMR T₂ spectrum[J]. Acta Petrolei Sinica, 2016, 37(3): 382-391,414.

白松涛, 程道解, 万金彬, 杨林, 彭洪立, 郭笑锴, 曾静波. 砂岩岩石核磁共振T₂谱定量表征[J]. 石油学报, 2016, 37(3): 382-391,414.

References

[1] Yakov V,Looyestijn W J,Slijkerman W F J,et al.A practical approach to obtain primary drainage capillary pressure curves from NMR core and log data[J].Petrophysics,2001,42(4):334-343.
[2] 何雨丹,毛志强,肖立志,等.利用核磁共振T₂分布构造毛管压力曲线的新方法[J].吉林大学学报:地球科学版,2005,35(2):177-181.
He Yudan,Mao Zhiqiang,Xiao Lizhi,et al.A new method to obtain capillary pressure curve using NMR T₂ distribution[J].Journal of Jilin University:Earth Science Edition,2005,35(2):177-181.
[3] 何雨丹,毛志强,肖立志,等.核磁共振T₂分布评价岩石孔径分布的改进方法[J].地球物理学报,2005,48(2):373-378.
He Yudan,Mao Zhiqiang,Xiao Lizhi,et al.An improved method of using NMR T₂ distribution to evaluate pore size distribution[J].Chinese Journal of Geophysics,2005,48(2):373-378.
[4] 周灿灿,刘堂晏,马在田,等.应用球管模型评价岩石孔隙结构[J].石油学报,2006,27(1):92-96.
Zhou Cancan,Liu Tangyan,Ma Zaitian,et al.Evaluation of pore structure using sphere-cylinder model[J].Acta Petrolei Sinica,2006,27(1):92-96.
[5] 李天降,李子丰,赵彦超,等.核磁共振与压汞法的孔隙结构一致性研究[J].天然气工业,2006,26(10):57-59.
Li Tianjiang,Li Zifeng,Zhao Yanchao,et al.Consistency of pore structures between NMR and mercury intrusion method[J].Natural Gas Industry,2006,26(10):57-59.
[6] Zhou Cancan,Liu Zhonghua,Shi Yujiang,et al.Applications of NMR logs to complex lithology interpretation of Or-dos basin[R].SPWLA-2007,2007.
[7] Timur A.Nuclear magnetic resonance study of carbonate rocks[R].SPWLA-1972,1972.
[8] Coates G R,Xiao L,Prammer M G.NMR logging:principles and applications[M].Houston:Gulf Professional Publishing,1999.
[9] Voloitin Y,Looyestijn W J,Slijkerman W F J,et al.A practical approach to obtain primary drainage capillary pressure curves from NMR core and log data[J].Petrophysics,2001,42(4):a3.
[10] 罗蛰潭,王允诚.油气储层的孔隙结构[M].北京:科学出版杜,1986.
Luo Zhetan,Wang Yuncheng.Oil and gas reservoir pore structure[M].Beijing:Science Press,1986.
[11] 刘堂宴,王绍民,傅容珊,等.核磁共振谱的岩石孔喉结构分析[J].石油地球物理勘探,2003,38(3):328-333.
Liu Tangyan,Wang Shaomin,Fu Rongshan,et al.Analysis of rock pore throat structure with NMR spectra[J].Oil Geophysical Prospecting,2003,38(3):328-333.
[12] 刘春杨,卢双舫,薛海涛,等.用核磁共振和常规测井资料预测毛细管压力曲线方法[J].测井技术,2011,34(6):597-600.
Liu Chunyang,Lu Shuangfang,Xue Haitao,et al.On predicting capillary pressure curve with NMR and conventional log data[J].Well Logging Technology,2011,34(6):597-600.
[13] 周科平,李杰林,许玉娟,等.基于核磁共振技术的岩石孔隙结构特征测定[J].中南大学学报:自然科学版,2012,43(12):4796-4800.
Zhou Keping,Li Jielin,Xu Yujuan,et al.Measurement of rock pore structure based on NMR technology[J].Journal of Central South University:Science and Technology,2012,43(12):4796-4800.
[14] 万金彬,孙宝佃,陈守军,等.数字岩心技术研究及应用[J].测井技术,2012,36(2):154-159.
Wan Jinbin,Sun Baodian,Chen Shoujun,et al.Digital core technology research and its applications[J].Well Logging Technology,2012,36(2):154-159.
[15] 徐风,白松涛,赵建斌,等.一种基于孔隙分量组合下的渗透率计算方法[J].石油天然气学报,2013,35(11):76-80.
Xu Feng,Bai Songtao,Zhao Jianbin,et al.A method of calculating permeability based on the combination of pore-components[J].Journal of Oil and Gas Technology,2013,35(11):76-80.
[16] 赵澄林,朱筱敏.沉积岩石学[M].3版.北京:石油工业出版社,2001.
Zhao Chenglin,Zhu Xiaomin.Sedimentary petrology[M].3rd ed.Beijing:Petroleum Industry Press,2001.
[17] 裘亦楠,薛叔浩.油气储层评价技术[M].北京:石油工业出版社,1997.
Qiu Yinan,Xue Shuhao.Oil and gas reservoir evaluation[M].Beijing:Petroleum Industry Press,1997.
[18] Chilingar G V,Mannon R W,Rieke Ⅲ H H.Oil and gas production from carbonate rocks[M].New York:American Elsevier Publishing Company Inc.,1972.
[19] 王克文,李宁.储层特性与饱和度对核磁T₂谱影响的数值模拟[J].石油学报,2009,30(3):422-426.
Wang Kewen,Li Ning.Numerical simulation on effects of reservoir characteristics and saturation on T₂ spectra of nuclear magnetic resonance[J].Acta Petrolei Sinica,2009,30(3):422-426.
[20] 肖立志,刘堂宴,傅容珊.利用核磁共振测井评价储层的捕集能力[J].石油学报,2004,25(4):38-41.
Xiao Lizhi,Liu Tangyan,Fu Rongshan.Application of nuclear magnetic resonance log to trapping capability evaluation[J].Acta Petrolei Sinica,2004,25(4):38-41.
[21] 何更生,唐海.油层物理[M].2版.北京:石油工业出版社,2011.
He Gengsheng,Tang Hai.Reservoir physics[M].2nd ed.Beijing:Petroleum Industry Press,2011.
[22] 杨正明,李治硕,王学武,等.特低渗透油田相对渗透率曲线测试新方法[J].石油学报,2010,31(4):629-632.
Yang Zhengming,Li Zhishuo,Wang Xuewu,et al.A new method for testing relative permeability of ultra-low permeability reservoirs[J].Acta Petrolei Sinica,2001,31(4):629-632.
[23] 杨正明,郭和坤,姜汉桥,等.火山岩气藏不同岩性核磁共振实验研究[J].石油学报,2009,30(3):400-403.
Yang Zhengming,Guo Hekun,Jiang Hanqiao,et al.Experimental study on different lithologic rock of volcanic gas reservoir using nuclear magnetic resonance technique[J].Acta Petrolei Sinica,2009,30(3):400-403.
[24] 李潮流,徐秋贞,张振波.用核磁共振测井评价特低渗透砂岩储层渗透性新方法[J].测井技术,2009,33(5):436-439.
Li Chaoliu,Xu Qiuzhen,Zhang Zhenbo.A new method on permeability analysis for sand reservoir with specially low permeability by NMR[J].Well Logging Technology,2009,33(5):436-439.
[25] 周灿灿,程相志,司兆伟,等.核磁共振自旋回波串确定渗透率方法探讨[J].测井技术,2002,26(2):123-126.
Zhou Cancan,Cheng Xiangzhi,Si Zhaowei,et al.On permeability determination with NMR echo trains[J].Well Logging Technology,2002,26(2):123-126.
[26] 王为民,郭和坤,叶朝辉.利用核磁共振可动流体评价低渗透油田开发潜力[J].石油学报,2001,22(6):40-44.
Wang Weimin,Guo Hekun,Ye Chaohui.The evaluation of development potential in low permeability oilfield by the aid of NMR movable fluid detecting technology[J].Acta Petrolei Sinica,2001,22(6):40-44.
[27] 付晨东.用核磁共振测井资料确定束缚水饱和度的新方法[J].测井技术,2011,35(3):243-246.
Fu Chendong.A new method to determine irreducible water saturation with NMR log data[J].Well Logging Technology,2011,35(3):243-246.
[28] 黄振凯,陈建平,王义军,等.松辽盆地白垩系青山口组泥岩微观孔隙特征[J].石油学报,2013,34(1):30-36.
Huang Zhenkai,Chen Jianping,Wang Yijun,et al.Characteristics of micropores in mudstones of the Cretaceous Qingshankou Formation,Songliao Basin[J].Acta Petrolei Sinica,2013,34(1):30-36.
[29] 杨正明,张仲宏,刘学伟,等.低渗/致密油藏分段压裂水平井渗流特征的物理模拟及数值模拟[J].石油学报,2014,35(1):85-92.
Yang Zhengming,Zhang Zhonghong,Liu Xuewei,et al.Physical and numerical simulation of porous flow pattern in multi-stage fractured horizontal wells in low permeability/tight oil reservoirs[J].Acta Petrolei Sinica,2014,35(1):85-92.
[30] 雷裕红,罗晓容,张立宽,等.东营凹陷南斜坡东段沙河街组砂岩输导层连通性量化表征[J].石油学报,2013,34(4):692-700.
Lei Yuhong,Luo Xiaorong,Zhang Likuan,et al.Quantitative characterization of Shahejie Formation sandstone carrier connectivity of the eastern part of the south slope in Dongying sag[J].Acta Petrolei Sinica,2013,34(4):692-700.

Q uantitative characterization of sandstone NMR T₂ spectrum

砂岩岩石核磁共振T₂谱定量表征

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