Lithologic Reservoirs ›› 2021, Vol. 33 ›› Issue (5): 140-147.doi: 10.12108/yxyqc.20210513

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

Oil-bearing evaluation method based on NMR free relaxation characteristics: A case study of conglomerate reservoirs of lower Urho Formation in Mahu Sag,Junggar Basin

MAO Rui, MU Liwei, WANG Gang, FAN Haitao   

  1. Research Institute of Exploration and Development, PetroChina Xinjiang Oilfield Company, Karamay 834000, Xinjiang, China
  • Received:2021-02-11 Revised:2021-05-14 Online:2021-10-01 Published:2021-09-30

PDF (PC)

287

Abstract: The conglomerate reservoirs of Lower Urho Formation in Mahu Sag of Junggar Basin have the characteri-stics of low porosity, low permeability, complex pore structure and strong heterogeneity. Conventional electrical logging and nuclear magnetic resonance(NMR) difference spectrum method are difficult to reflect the oilbearing characteristics of the reservoirs. To clarify the oil-bearing characteristics, NMR free relaxation measurements of light crude oil and NMR experiments of reservoir cores containing different fluids of lower Urho Formation were carried out. The results show that:①The transverse relaxation time of NMR free relaxation T2 spectrum of light crude oil starts from 100.00 ms. ②The T2 spectrum of saturated water core converges to 100.00 ms. ③The NMR T2 spectrum of saturated oil core shows free relaxation characteristics similar to that of crude oil after 100.00 ms. The above phenomenon shows that the core of study area is mainly wetted by water, and the signal of NMR T2 spectrum of saturated oil core greater than 100.00 ms is caused by the free relaxation of light oil. Taking 100.00 ms as the oil-bearing signal of NMR logging, the sensitive parameters were constructed, and the identification chart of fluid properties based on NMR free relaxation features was established. Considering the influence of permeability on oil-bearing property, a calculation model of oil saturation was established. The above method was used to evaluate the oil-bearing property of 31 layers in 22 exploration wells in the study area, the coincidence rate of logging interpretation approached to 93.5%, indicating that the method was effective. This method provides a new idea for the application of NMR logging in oil-bearing evaluation.

Key words: NMR logging, fluid properties, free relaxation, oil saturation, conglomerate reservoirs, Mahu Sag

CLC Number: 

  • TE132
[1] 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. 北京:石油工业出版社, 2015:1-10. KUANG L C, SUN Z C,MAO Z Q,et al. Application of NMR in Junggar Basin exploration and development. Beijing:Petroleum Industry Press, 2015:1-10.
[2] 邓克俊.核磁共振测井理论及应用.北京:中国石油大学出版社, 2010:1-20. DENG K J. Theory and application of nuclear magnetic resonance logging. Beijing:China University of Petroleum Press, 2010:1-20.
[3] COATES G R, XIAO L Z, PRAMMER M G. NMR logging principles and applications. Texas:Gulf Publishing Company, 1999.
[4] AKKURT R. NMR logging of natural gas reservoirs//GUILLIRY A J. SPWLA 36th Annual Logging Symposium Transactions, 1995.
[5] 谭茂金, 赵文杰, 范宜仁.用测井双TW观测数据识别储层流体性质.天然气工业, 2006, 26(4):38-40. TAN M J, ZHAO W J, FAN Y R. Identification of fluid property with NMR dual TW well logging data. Natural Gas Industry, 2006, 26(4):38-40.
[6] 谭茂金, 石耀霖, 赵文杰, 等.核磁共振双TW测井数据联合反演与流体识别.地球物理学报, 2008, 51(5):1582-1590. TAN M J, SHI Y L, ZHAO W J, et al. Joint inversion method for NMR dual-TW logging data and fluid typing. Chinese Journal of Geophysics, 2008, 51(5):1582-1590.
[7] PRAMMER M G. Lithology-independent gas detection by gradient NMR logging. SPE Annual Technical Conference and Exhibition proceedings, 1995.
[8] 谢然红, 肖立志, 刘家军.核磁共振测井时域分析法数值模拟及影响因素分析.地球物理学报, 2011, 54(8):2184-2192. XIE R H, XIAO L Z, LIU J J. Time domain analysis numerical simulation and influence factors of NMR logging. Chinese Journal of Geophysics, 2011, 54(8):2184-2192.
[9] 何宗斌, 倪静, 伍栋, 等.根据双TE测井确定含烃饱和度.岩性油气藏, 2007, 19(3):89-92. HE Z B, NI J, WU D, et al. Hydrocarbon saturation determined by dual-TE logging. Lithologic Reservoirs, 2007, 19(3):89-92.
[10] 李鹏举, 张智鹏, 姜大鹏.核磁共振测井流体识别方法综述. 测井技术, 2011, 35(5):396-401. LI P J, ZHANG Z P, JIANG D P. Review on fluid identification methods with NMR logging. Well Logging Technology, 2011, 35(5):396-401.
[11] LOOTESIJN W J. Determination of oil saturation from diffusion NMR logs. SPWLA 37th Annual Logging Symposium, 1996.
[12] HURLIMANN M D. Diffusion editing:New NMR measurement of saturation and pore Geometry. SPWLA 43rd Annual Logging Symposium, 2002.
[13] ZHAO Q S. Overview of magnetic resonance imaging logging technology. World Well Logging Technology, 2008, 23(2):8-13.
[14] 刘忠华, 李霞, 赵文智, 等.核磁共振增强扩散方法在复杂储集层流体识别中的应用.石油勘探与开发, 2010, 37(6):703-707. LIU Z H, LI X, ZHAO W Z, et al. Enhanced diffusion theory of nuclear magnetic resonance(NMR)and its application to fluid identification of complex reservoirs. Petroleum Exploration and Development, 2010, 37(6):703-707.
[15] AKKURT R. Enhanced diffusion:Expanding the range of NMR direct hydrocarbon typing applications. SPWLA 39th Annual Logging Symposium, 1998.
[16] 赵永刚, 吴非.核磁共振测井技术在储层评价中的应用.天然气工业, 2007, 27(7):42-44. ZHAO Y G, WU F. Application of nuclear magnetic resonance logging technique to reservoir evaluation. Natural Gas Industry, 2007, 27(7):42-44.
[17] 张筠, 吴见萌, 朱国璋.致密气核磁共振测井观测模式及气水弛豫分析:以四川盆地为例.天然气工业, 2018, 38(1):49-55. ZHANG J, WU J M, ZHU G Z. NMR logging activation sets selection and fluid relaxation characteristics analysis of tight gas reservoirs:A case study from the Sichuan Basin. Natural Gas Industry, 2018, 38(1):49-55.
[18] 张小莉, 冯乔, 王鹏, 等.核磁共振测井在致密含气砂岩中的应用.天然气工业, 2007, 27(3):40-42. ZHANG X L, FENG Q, WANG P, et al. The application of nuclear magnetic resonance logging in gas-bearing tight sandstone. Natural Gas Industry, 2007, 27(3):40-42.
[19] 李雄炎, 周金昱, 李洪奇, 等.复杂岩性及多相流体智能识别方法.石油勘探与开发, 2012, 39(2):243-248. LI X Y, ZHOU J Y, LI H Q, et al. Computational intelligent methods for predicting complex lithologies and multiphase fluids. Petroleum Exploration and Development, 2012, 39(2):243-248.
[20] 李阳, 肖立志, 孙华峰.核磁共振测井TDA识别油气的影响因素.波谱学杂志, 2012, 29(1):21-31. LI Y, XIAO L Z, SUN H F. Analyses of influencing factors of hydrocarbon identification using NMR time domain analysis. Chinese Journal of Magnetic Resonance, 2012, 29(1):21-31.
[21] 邵维志.核磁共振测井移谱差谱法影响因素实验分析.测井技术, 2003, 27(6):502-507. SHAO W Z. On effect of NMR differential and shifted spectrum method in laboratory. Well Logging Technology, 2003, 27(6):502-507.
[22] 肖立志.我国核磁共振测井应用中的若干重要问题.测井技术, 2007, 31(5):401-407. XIAO L Z. Some important issues for NMR logging applications in China. Well Logging Technology, 2007, 31(5):401-407.
[23] 邵维志, 贵兴海, 郝丽萍, 等.浅析核磁共振测井在储层流体性质识别方面的局限性.测井技术, 2014, 38(6):684-703. SHAO W Z, GUI X H, HAO L P, et al. Analysis of limitation reservoir fluid identification by using nuclear magnetic resonance logging. Well Logging Technology, 2014, 38(6):684-703.
[24] 支东明, 唐勇, 郑孟林, 等.玛湖凹陷源上砾岩大油区形成分布于勘探实践.新疆石油地质, 2018, 39(1):1-8. ZHI D M, TANG Y, ZHENG M L, et al. Discovery,distribution and exploration practice of large oil provinces of above-source conglomerate in Mahu Sag. Xinjiang Petroleum Geology, 2018, 39(1):1-8.
[25] 雷海艳, 樊顺, 鲜本忠, 等.玛湖凹陷二叠系下乌尔禾组沸石成因及溶蚀机制.岩性油气藏, 2020, 32(5):102-112. LEI H Y, FAN S, XIAN B Z, et al. Genesis and corrosion mechanism of zeolite of lower Urho Formation of Permian in Mahu Sag. Lithologic Reservoirs, 2020, 32(5):102-112.
[26] 李佳思, 付磊, 张金龙, 等.准噶尔盆地乌夏地区中上二叠统碎屑岩成岩作用及次生孔隙演化.岩性油气藏, 2019, 31(6):54-66. LI J S, FU L, ZHANG J L, et al. Diagenesis and secondary pore evolution of Middle Upper Permian clastic rocks in Wuxia area, Junggar Basin. Lithologic Reservoirs, 2019, 31(6):54-66.
[27] 付爽, 庞雷, 许学龙, 等.准噶尔盆地玛湖凹陷下乌尔禾组储层特征及其控制因素.天然气地球科学, 2019, 30(4):468-477. FU S, PANG L, XU X L, et al. The characteristic and their controlling factors on reservoirs in Permian lower Urho Formation in Mahu Sag,Junggar Basin. Natural Gas Geoscience, 2019, 30(4):468-477.
[28] 邹妞妞, 张大权, 钱海涛, 等.准噶尔盆地玛北斜坡区扇三角洲砂砾岩储层主控因素.岩性油气藏, 2016, 28(4):24-33. ZOU N N, ZHANG D Q, QIAN H T, et al. Main controlling factors of glutenite reservoir of fan delta in Mabei slope,Junggar Basin. Lithologic Reservoirs, 2016, 28(4):24-33.
[29] 肖立志, 谢然红, 廖广志.中国复杂油气藏核磁共振测井理论与方法.北京:科学出版社, 2012. XIAO L Z, XIE R H, LIAO G Z. Theory and method of NMR logging for complex oil and gas reservoirs in China. Beijing:Science Press, 2012.
[30] 张妮, 王伟, 王振林, 等.利用核磁共振测井判定低渗透砾岩储集层流体性质:以玛湖凹陷下三叠统百口泉组为例.新疆石油地质, 2018, 39(1):109-113. ZHANG N, WANG W, WANG Z L, et al. Using NMR logging to determine fluid properties in low-permeability conglomerate reservoirs:A case study from the Lower Triassic Baikouquan Formation in Mahu Sag. Xinjiang Petroleum Geology, 2018, 39(1):109-113.
[31] 赵培强, 孙中春, 罗兴平, 等.致密油储层核磁共振测井响应机理研究.地球物理学报, 2016, 59(5):1928-1937. ZHAO P Q, SUN Z C, LUO X P, et al. Study on the response mechanisms of nuclear magnetic resonance(NMR)log in the tight oil reservoirs. Chinese Journal of Geophysics, 2016, 59(5):1928-1937.
[32] 冯程, 石玉江, 郝建飞, 等.低渗透复杂润湿性储集层核磁共振特征.石油勘探与开发, 2017, 44(2):252-257. FENG C, SHI Y J, HAO J F, et al. Nuclear magnetic resonance features of low-permeability reservoirs with complex wettability. Petroleum Exploration and Development, 2017, 44(2):252-257.
[33] 李海波, 郭和坤, 王学武, 等.岩心润湿性对核磁共振可动流体T2截止值的影响.西安石油大学学报(自然科学版), 2015, 30(5):43-47. LI H B, GUO H K, WANG X W, et al. Influence of core wettability on NMR T2 cutoff value of movable fluid. Journal of Xi'an Shiyou University(Natural Science Edition), 2015, 30(5):43-47.
[34] GUAN H, BROUGHAM D, SORBIE K S, et al. Wettability effects in a sandstone reservoir and outcrop cores from NMR relaxation time distributions. Journal of Petroleum Science and Engineering, 2002, 34(1/4):35-54.
[1] BAI Yubin, LI Mengyao, ZHU Tao, ZHAO Jingzhou, REN Haijiao, WU Weitao, WU Heyuan. Geochemical characteristics of source rocks and evaluation of shale oil “sweet spot”of Permian Fengcheng Formation in Mahu Sag [J]. Lithologic Reservoirs, 2024, 36(6): 110-121.
[2] WANG Yifeng, TIAN Jixian, LI Jian, QIAO Tong, LIU Chenglin, ZHANG Jingkun, SHA Wei, SHEN Xiaoshuang. Geochemical characteristics of Permian condensate oil and gas and phase types in southwest of Mahu Sag [J]. Lithologic Reservoirs, 2024, 36(6): 149-159.
[3] SONG Zhihua, LI Lei, LEI Dewen, ZHANG Xin, LING Xun. Application of improved U-Net network small faults identification technology to Triassic Baijiantan Formation in Mazhong area，Mahu Sag [J]. Lithologic Reservoirs, 2024, 36(3): 40-49.
[4] YIN Lu, XU Duonian, YUE Xingfu, QI Wen, ZHANG Jijuan. Reservoir characteristics and hydrocarbon accumulation rules of Triassic Baikouquan Formation in Mahu Sag，Junggar Basin [J]. Lithologic Reservoirs, 2024, 36(1): 59-68.
[5] QIN Jianhua, WANG Jianguo, LI Siyuan, LI Sheng, DOU Zhi, PENG Simi. Characteristics and formation mechanism of hydraulic fractures in tight conglomerate reservoirs of Triassic Baikouquan Formation in Mahu Sag [J]. Lithologic Reservoirs, 2023, 35(4): 29-36.
[6] BAI Yang, ZHANG Xiaolei, GANG Wenzhe, ZHANG Zhongyi, YANG Shangru, PANG Jinlian, CAO Jingjing, HOU Yunchao. Characteristics and genesis of Upper Triassic Chang 8 reservoir with low oil saturation in northern Pingliang area， Ordos Basin [J]. Lithologic Reservoirs, 2023, 35(3): 66-75.
[7] PENG Miao, ZHANG Lei, TAO Jinyu, ZHAO Kang, ZHANG Xianghui, ZHANG Changmin. Quantitative characterization of gravel roundness of sandy conglomerates of Triassic Baikouquan Formation in Mahu Sag [J]. Lithologic Reservoirs, 2022, 34(5): 121-129.
[8] YANG Fan, BIAN Baoli, LIU Huiying, YAO Zongquan, YOU Xincai, LIU Hailei, WEI Yanzhao. Sedimentary characteristics of fan delta in restricted lacustrine basin of Permian Xiazijie Formation in Mahu Sag [J]. Lithologic Reservoirs, 2022, 34(5): 63-72.
[9] LYU Zhengxiang, LIAO Zheyuan, LI Yuefeng, SONG Xiuzhang, LI Xiang, HE Wenjun, HUANG Liliang, QING Yuanhua. Diagenesis of alkaline lacustrine dolomitic reservoirs of Permian Fengcheng Formation in Mahu Sag [J]. Lithologic Reservoirs, 2022, 34(5): 26-37.
[10] BAI Yu, WANG Fei, NIU Zhijie, JIN Kailai, LI Peiyi, XU Duonian, CHEN Gangqiang. Hydrocarbon generation kinetics of source rocks of Permian Fengcheng Formation in Mahu Sag,Junggar Basin [J]. Lithologic Reservoirs, 2022, 34(4): 116-127.
[11] LEI Haiyan, GUO Pei, MENG Ying, QI Jing, LIU Jin, ZHANG Juan, LIU Miao, ZHENG Yu. Pore structure and classification evaluation of shale oil reservoirs of Permian Fengcheng Formation in Mahu Sag [J]. Lithologic Reservoirs, 2022, 34(3): 142-153.
[12] CHEN Yongbo, ZHANG Huquan, ZHANG Han, ZENG Huahui, WANG Bin, WANG Hongqiu, XU Duonian, MA Yongping, ZONG Zhaoyun. Dolomitic reservoir prediction technology based on OVT domain migration data and its application: A case study of Feng 3 member in Wuxia area,Mahu Sag [J]. Lithologic Reservoirs, 2021, 33(6): 145-155.
[13] DU Meng, XIANG Yong, JIA Ninghong, LYU Weifeng, ZHANG Jing, ZHANG Daiyan. Pore structure characteristics of tight glutenite reservoirs of Baikouquan Formation in Mahu Sag [J]. Lithologic Reservoirs, 2021, 33(5): 120-131.
[14] MA Yongping, ZHANG Xianwen, ZHU Ka, WANG Guodong, PAN Shuxin, HUANG Linjun, ZHANG Han, GUAN Xin. Sedimentary characteristics and controlling factors of fan-delta of the Upper Urho Formation of Permian in Mahu Sag [J]. Lithologic Reservoirs, 2021, 33(1): 57-70.
[15] CHEN Jing, CHEN Jun, LI Hui, NUERAILI Zhaman. Characteristics and main controlling factors of Permian-Triassic superimposed reservoirs in central Mahu Sag,Junggar Basin [J]. Lithologic Reservoirs, 2021, 33(1): 71-80.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] YANG Zhanlong,ZHANG Zhenggang,CHEN Qilin,GUO Jingyi,SHA Xuemei,LIU Wensu. Using multi-parameters analysis of seismic information to evaluate lithologic traps in continental basins[J]. Lithologic Reservoirs, 2007, 19(4): 57 -63 .
[2] FANG Chaohe, WANG Yifeng, ZHENG Dewen, GE Zhixin. Maceral and petrology of Lower Tertiary source rock in Qintong Sag, Subei Basin[J]. Lithologic Reservoirs, 2007, 19(4): 87 -90 .
[3] LIN Chengyan, TAN Lijuan, YU Cuiling. Research on the heterogeneous distribution of petroleum(Ⅰ)[J]. Lithologic Reservoirs, 2007, 19(2): 16 -21 .
[4] WANG Tianqi, WANG Jiangong, LIANG Sujuan, SHA Xuemei. Fine oil exploration of Putaohua Formation in Xujiaweizi area, Songliao Basin[J]. Lithologic Reservoirs, 2007, 19(2): 22 -27 .
[5] WANG Xiwen,SHI Lanting,YONG Xueshan,YNAG Wuyang. Study on seismic impedance inversion[J]. Lithologic Reservoirs, 2007, 19(3): 80 -88 .
[6] HE Zongbin,NI Jing,WU Dong,LI Yong,LIU Liqiong,TAI Huaizhong. Hydrocarbon saturation determined by dual-TE logging[J]. Lithologic Reservoirs, 2007, 19(3): 89 -92 .
[7] YUAN Shengxue,WANG Jiang. Identification of the shallow gas reservoir in Shanle area,Tuha Basin[J]. Lithologic Reservoirs, 2007, 19(3): 111 -113 .
[8] CHEN Fei，WEI Dengfeng，YU Xiaolei，WU Shaobo. Sedimentary facies of Chang 2 oil-bearing member of Yanchang Formation in Yanchi-Dingbian area, Ordos Basin[J]. Lithologic Reservoirs, 2010, 22(1): 43 -47 .
[9] XU Yunxia，WANG Shanshan，YANG Shuai. Using Walsh transform to improve signal-to-noise ratio of seismic data[J]. Lithologic Reservoirs, 2009, 21(3): 98 -100 .
[10] LI Jianming，SHI Lingling，WANG Liqun，WU Guangda. Characteristics of basement reservoir in Kunbei fault terrace belt in southwestern Qaidam Basin[J]. Lithologic Reservoirs, 2011, 23(2): 20 -23 .
TRENDMD:

Copyright © 2018 Lithologic Reservoirs

Support by Beijing Magtech support@magtech.com.cn