A Study on Nuclear Magnetic Resonance to Reservoir Quality Evaluation

doi:10.11885/j.issn.1674-5086.2016.08.04.02

Abstract

Abstract: In view of the difficulties in evaluating the quality and assessing the productivity of low-permeability complex porestructure clastic rock reservoirs with medium to low porosity located in the middle and deep formations of the central Hebei Area, we initiated a study involving the quantitative characterization of the pore structure based on nuclear magnetic resonance spectroscopy. By combining the well testing analytical data, we determined the correlation between the lower reservoir quality limit and index and the reservoir fluid production, established an appropriate reservoir classification standard for the area, and developed a well-rounded reservoir quality and productivity evaluation technique. The application of this technique to the evaluation of reservoir effectiveness and productivity showed good results; with the high accuracy rate of 87.7%, it can provide accurate suggestions for well testing in oil field exploration and development.

Key words: nuclear magnetic resonance, clastic rock, pore structure, reservoir quality, productivity evaluation

CLC Number:

TE19

ZHAO Jianbin, WAN Jinbin, LUO Anyin, CHENG Daojie, LI Huiying. A Study on Nuclear Magnetic Resonance to Reservoir Quality Evaluation[J]. 西南石油大学学报(自然科学版), 2018, 40(1): 89-96.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2016.08.04.02

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2018/V40/I1/89

References

[1] 李进步,付斌,赵忠军,等. 苏里格气田致密砂岩气藏储层表征技术及其发展展望[J]. 天然气工业, 2015, 35(12):35-41. doi:10.3787/j.issn.1000-0976.2015.12.-005 LI Jinbu, FU Bin, ZHAO Zhongjun, et al. Characterization technology for tight sandstone gas reservoirs in the Sulige Gas Field, Ordos Basin, and its development prospect[J]. Natural Gas Industry, 2015, 35(12):35-41. doi:10.3787/-j.issn.1000-0976.2015.12.005
[2] 李宏涛,史云清,肖开华,等. 元坝气田须三段气藏层序沉积与储层特征[J]. 天然气工业, 2016, 36(9):20-34. doi:10.3787/j.issn.1000-0976.2016.09.003 LI Hongtao, SHI Yunqing, XIAO Kaihua, et al. Sequence, sedimentary and reservoir characteristics of Xu 3 gas reservoir in the Yuanba Gas Field, NE Sichuan Basin[J]. Natural Gas Industry, 2016, 36(9):20-34. doi:10.3787/-j.issn.1000-0976.2016.09.003
[3] 刘昊伟,郑兴远,陈全红,等. 华庆地区长6深水沉积低渗透砂岩储层特征[J]. 西南石油大学学报(自然科学版),2010,32(1):21-26. doi:10.3863/j.issn.1674-5086.2010.01.004 LIU Haowei, ZHENG Xingyuan, CHEN Quanhong, et al. Analysis on characteristics of deep-water sedimentary tight sandstone reservoir of Chang 6 in Huaqing area[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2010, 32(1):21-26. doi:10.3863/j.-issn.1674-5086.2010.01.004
[4] 李志愿. 测井孔隙结构与储层产能关系研究[D]. 青岛:中国石油大学(华东), 2012, 6875. LI Zhiyuan. Research on relationship between pore structure and reservoir productivity with logging methods[D].Qingdao:China University of Petroleum, 2012, 68-75.
[5] 柴细元,丁娱娇. 孔隙结构与地层压力相结合的储层产能预测技术[J]. 测井技术, 2012, 36(6):636-640. doi:10.16489/j.issn.1004-1338.2012.06.017 CHAI Xiyuan, DING Yujiao. Combination technology of the pore structure and formation pressure for productivity prediction[J]. Well Logging Technology, 2012, 36(6):636-640. doi:10.16489/j.issn.1004-1338.2012.06.017
[6] 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.
[7] 运华云,赵文杰,刘兵开,等. 利用T₂分布进行岩石孔隙结构研究[J]. 测井技术, 2002, 26(1):18-21. doi:10.16489/j.issn.1004-1338.2002.01.007 YUN Huayun, ZHAO Wenjie, LIU Bingkai, et al. Researching rock pore structure with T₂ distribution[J]. Well Logging Technology, 2002, 26(1):18-21. doi:10.16489/-j.issn.1004-1338.2002.01.007
[8] 赵杰,姜亦忠,王伟男,等. 用核磁共振技术确定岩石孔隙结构的实验研究[J]. 测井技术, 2003, 27(3):185-188. doi:10.16489/j.issn.1004-1338.2003.03.004 ZHAO Jie, JIANG Yizhong, WANG Weinan, et al. Investigation of rock pore structure using NMR technology[J]. Well Logging Technology, 2003, 27(3):185-188. doi:10.-16489/j.issn.1004-1338.2003.03.004
[9] 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. doi:10.13278/j.cnki.-jjuese.2005.02.008 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. doi:10.13278/j.cnki.jjuese.-2005.02.008
[10] 邵维志,丁娱娇,刘亚,等. 核磁共振测井在储层孔隙结构评价中的应用[J]. 测井技术, 2009, 33(1):52-56. doi:10.16489/j.issn.1004-1338.2009.01.020 SHAO Weizhi, DING Yujiao, LIU Ya, et al. The application of NMR log data in evaluation of reservoir pore structure[J]. Well Logging Technology, 2009, 33(1):52-56. doi:10.16489/j.issn.1004-1338.2009.01.020
[11] 赵毅,施振飞,朱立华,等. 构造毛管压力曲线法在A油田储层评价中的应用[J]. 复杂油气藏, 2014(1):52-57. doi:10.16181/j.cnki.fzyqc.2014.01.011 ZHAO Yi, SHI Zhenfei, ZHU Lihua, et al. Application of capillary pressure curve construction method in the reservoir evaluation of A Oilfield[J]. Complex Hydrocarbon Reservoirs, 2014(1):52-57. doi:10.16181/j.cnki.fzyqc.-2014.01.011
[12] 李鹏举,谷雨峰. 核磁共振T₂谱转换伪毛管压力曲线的矩阵方法[J]. 天然气地球科学, 2015, 26(4):700-705. doi:10.11764/j.issn.1672-1926.2015.04.0700 LI Pengju, GU Yufeng. Matrix method of transforming NMR T₂ spectrum to pseudo capillary pressure curve[J]. Natural Gas Geoscience, 2015, 26(4):700-705. doi:10.-11764/j.issn.1672-1926.2015.04.0700
[13] 闫建平,温丹妮,李尊芝,等. 基于核磁共振测井的低渗透砂岩孔隙结构定量评价方法——以东营凹陷南斜坡沙四段为例[J]. 地球物理学报, 2016, 59(4):1543-1552. doi:10.6038/cjg20160434 YAN Jianping, WEN Danni, LI Zunzhi, et al. The quantitative evaluation method of low permeable sandstone pore structure based on nuclear magnetic resonance (NMR) logging[J]. Chinese Journal of Geophysics, 2016, 59(4):1543-1552. doi:10.6038/cjg20160434
[14] ZHOU C, LIU Z, SHI Y, et al. Applications of NMR logs to complex lithology interpretation of Ordos Basin[C]. Texas:SPWLA 48^th Annual Logging Symposium, 2007.
[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(江汉石油学院学报), 2013, 35(11):76-80, 93. XU Feng, BAI Songtao, ZHAO Jianbin, et al. A method of calculating permeability based on combination of components[J]. Journal of Oil and Gas Technology,2013, 35(11):76-80, 93.
[16] 司兆伟,赵建斌,白松涛,等. 基于岩石物理与核磁测井的储层分类方法研究——以冀东油田某区块为例[J]. 石油天然气学报, 2013, 35(12):73-78. SI Zhaowei, ZHAO Jianbin, BAI Songtao, et al. Research of reservoir classification by nmr logging based on rock physics[J]. Journal of Oil and Gas Technology (J. JPI), 2013, 35(12):73-78.
[17] 白松涛,程道解,万金彬,等. 砂岩岩石核磁共振T₂谱定量表征[J]. 石油学报, 2016, 37(3):374-378. doi:10.7623/syxb201603010 BAI Songtao, CHENG Daojie, WAN Jinbin, et al. Quantitative characterization of sandstone NMR T₂ spectrum[J]. Acta Petrolei Sinica, 2016, 37(3):374-378. doi:10.7623/-syxb201603010
[18] 刘堂宴,王绍明,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. doi:10.13810/j.cnki.issn.1000-7210.2003.03.022 LIU Tangyan, WANG Shaoming, FU Rongshan, et al. Analysis of rock pore throat structure with NMR spectra[J]. Oil Geophysical Prospecting, 2003, 38(3):328-333. doi:10.13810/j.cnki.issn.1000-7210.2003.03.022
[19] 于秀英,古正富,贾俊杰,等. 储层孔隙结构测井表征的新方法[J]. 非常规油气, 2016, 3(1):14-20. YU Xiuying, GU Zhengfu, JIA Junjie, et al. New method of reservoir pore structure logging characterization[J]. Unconventional Oil & Gas, 2016, 3(1):14-20.
[20] 张冲,毛志强,金燕. 基于实验室条件下的核磁共振测井束缚水饱和度计算方法研究[J]. 核电子学与探测技术, 2010, 30(4):514-516. ZHANG Chong, MAO Zhiqiang, JIN Yan. experimental studies of nmr logging irreducible water saturation[J]. Nuclear Electronics & Detection Technology, 2010, 30(4):514-516.
[21] 张冲,张超谟,张占松,等. 致密气储层岩心束缚水饱和度实验对比[J]. 天然气地球科学, 2016, 27(2):352-358. doi:10.11764/j.issn.1672-1926.2016.02.0352 ZHANG Chong, ZHANG Chaomo, ZHANG Zhansong, et al. Comparative experimental study of the core irreducible water saturation of tight gas reservoir[J]. Natural Gas Geoscience, 2016, 27(2):352-358. doi:10.11764/j.issn.1672-1926.2016.02.0352
[22] COATES G R, MARDON D, MARSCHALL D, et al. A new characterization of bulk volume irreducible using magnetic resonance[J]. Log Analysts, 1998, 39(1):51-63.
[23] 郑庆华,柳益群. 特低渗透储层微观孔隙结构和可动流体饱和度特征[J]. 地质科技情报, 2015, 34(4):124-131. ZHENG Qinghua, LIU Yiqun. Microscopic pore structure and movable fluid saturation of ultra low permeability reservoir[J]. Geological Science and Technology Information, 2015, 34(4):124-131.
[24] 韦青,李治平,白瑞婷,等. 微观孔隙结构对致密砂岩渗吸影响的试验研究[J]. 石油钻探技术, 2016, 44(5):109-115. doi:10.11911/syztjs.201605019 WEI Qing, LI Zhiping, BAI Ruiting, et al. An experimental study on the effect of microscopic pore structure on spontaneous imbibition in tight sandstones[J]. Petroleum Drilling Techniques, 2016, 44(5):109-115. doi:10.-11911/syztjs.201605019
[25] 万金彬,白松涛,郭笑锴,等. 南堡凹陷深层低孔隙度低渗透率储层产能预测方法[J]. 测井技术, 2015, 32(3):382-392. doi:10.16489/j.issn.1004-1338.2015.03.022 WAN Jinbin, BAI Songtao, GUO Xiaokai, et al. Productivity prediction methods of low porosity and permeability in deep reservoir in Nanpu Sag[J]. Well Logging Technology, 2015, 32(3):382-392. doi:10.16489/j.issn.1004-1338.2015.03.022
[26] 苏俊磊,孙建孟,苑吉波,等. 基于核磁共振孔隙结构的产能评价[J]. 西安石油大学学报(自然科学版), 2011, 26(3):44-47. SU Junlei, SUN Jianmeng, YUAN Jibo, et al. Reservoir productivity evaluation based on NMR pore structure[J]. Journal of Xi'an Shiyou University (Natural Science Edition), 2011, 26(3):44-47.