油气勘探

非常规油气勘探测井评价技术的挑战与对策

  • 刘国强
展开
  • 中国石油勘探与生产分公司,北京 100007
刘国强(1964-),男,江西鄱阳人,博士,中国石油勘探与生产分公司教授级高级工程师,主要从事油气藏测井评价研究。地址:北京东城区东直门北大街9号石油大厦,中国石油勘探与生产分公司,邮政编码:100007。E-mail:lgqi@petrochina.com.cn

收稿日期: 2020-10-17

  网络出版日期: 2021-09-17

Challenges and countermeasures of log evaluation in unconventional petroleum exploration

  • LIU Guoqiang
Expand
  • Exploration and Production Company, PetroChina, Beijing 100007, China

Received date: 2020-10-17

  Online published: 2021-09-17

摘要

为促进测井评价技术及时有效地适应中国非常规油气勘探开发的发展趋势,系统地分析当前中国测井评价技术的现状及其面临的挑战,立足于需求驱动技术发展的理念,并对标国际领先技术,提出了中国非常规油气测井评价技术的发展对策。①深化岩石物理实验研究,研发移动式全直径岩心二维核磁实验分析技术,系统建立不同流体性质、不同孔隙结构和不同散逸时间的纵向与横向弛豫谱特征图版和评价标准;深入开展数字岩心实验与数学物理模拟研究,指导测井评价新方法的创建;研发声电各向异性实验分析技术并创建相应的测井评价方法。②强化测井资料的目标化处理,攻关研究二维核磁共振测井精细反演处理技术与敏感信息拾取技术,精细描述致密储集层的微细孔隙分布以准确识别可动油、束缚油和束缚水等多类型流体;攻关研究水平井方位超远探测三维声波测井处理技术。③发展特色解释评价方法与技术,一是深化饱和度分布规律评价,创建近源和源内非常规油气饱和度分布规律的量化描述方法与数学模型;二是攻关研究分别以可动油含量和含气量为核心的页岩油和深层页岩气甜点评价方法与识别标准;三是完善发展欠压实作用和烃浓度充注两种高压成因机制下的孔隙压力计算方法;四是创建融合储集层品质和工程品质的地层可压裂性评价技术以及综合应力隔层与岩性隔层评价的水平井分段分簇方案优选技术。图5表2参36

本文引用格式

刘国强 . 非常规油气勘探测井评价技术的挑战与对策[J]. 石油勘探与开发, 2021 , 48(5) : 891 -902 . DOI: 10.11698/PED.2021.05.02

Abstract

To promote adaptation of logging evaluation technologies to the development trend of unconventional oil and gas exploration and development era in China, the current situation and challenges of logging evaluation technologies in China are analyzed systematically. Based on the concept of that demand drives technology development, and referring to the international leading technologies, development strategy of logging evaluation technology in China has been put forward. (1) Deepen petrophysics study: mobile 2D NMR laboratory analysis technology for full diameter core should be developed, characteristic charts and evaluation standards of different fluid properties, different pore structures and different core exposure times should be established based on longitudinal and traverse relaxation spectra; in-depth digital rock experiment and mathematical and physical simulation research should be carried out to create innovative logging evaluation methods; acoustic and electrical anisotropy experimental analysis technology should be developed, and corresponding logging evaluation methods be innovated. (2) Strengthen target processing of logging data: precise inversion processing technology and sensitive information extraction technology of 2D NMR logging should be developed to finely describe the micro-pore distribution in tight reservoir and accurately distinguish movable oil, bound oil, and bound water etc. The processing method of 3D ultra-distance detection acoustic logging should be researched. (3) Develop special logging interpretation and evaluation methods: first, mathematical model for quantitatively describing the saturation distribution law of unconventional oil and gas near source and in source should be created; second, evaluation methods and standards of shale oil and deep shale gas “sweet-spots” with mobile oil content and gas content as key parameter separately should be researched vigorously; third, calculation methods of pore pressure under two high-pressure genetic mechanisms, under-compaction and hydrocarbon charging, should be improved; fourth, evaluation method of formation fracability considering the reservoir geologic and engineering quality, and optimization method of horizontal well fracturing stage and cluster based on comprehensive evaluation of stress barrier and lithologic barrier should be worked out.

参考文献

[1] 赵政璋, 杜金虎. 非常规油气资源现实的勘探开发领域: 致密油气[M]. 北京: 石油工业出版社, 2012.
ZHAO Zhengzhang, DU Jinhu.Exploration and development of unconventional oil and gas resources: Tight oil and gas[M]. Beijing: Petroleum Industry Press, 2012.
[2] 赵文智, 胡素云, 侯连华, 等. 中国陆相页岩油类型、资源潜力及与致密油的边界[J]. 石油勘探与开发, 2020, 47(1): 1-10.
ZHAO Wenzhi, HU Suyun, HOU Lianhua, et al. Types and resource potential of continental shale oil in China and its boundary with tight oil[J]. Petroleum Exploration and Development, 2020, 47(1): 1-10.
[3] 胡素云, 赵文智, 侯连华, 等. 中国陆相页岩油发展潜力与技术对策[J]. 石油勘探与开发, 2020, 47(4): 819-828.
HU Suyun, ZHAO Wenzhi, HOU Lianhua, et al. Development potential and technical strategy of continental shale oil in China[J]. Petroleum Exploration and Development, 2020, 47(4): 819-828.
[4] 杜金虎. 中国陆相致密油[M]. 北京: 石油工业出版社, 2017.
DU Jinhu.Continental tight oil in China[M]. Beijing: Petroleum Industry Press, 2017.
[5] 李国欣, 朱如凯. 中国石油非常规油气发展现状、挑战与关注问题[J]. 中国石油勘探, 2020, 25(2): 1-13.
LI Guoxin, ZHU Rukai. Progress, challenges and key issues of unconventional oil and gas developmentof CNPC[J]. China Petroleum Explorartion, 2020, 25(2): 1-13.
[6] 刘国强, 李长喜. 陆相致密油岩石物理特征与测井评价方法[M]. 北京: 科学出版社, 2019.
LIU Guoqiang, LI Changxi.Petrophysical characteristics and logging evaluation method of continental tight oil[M]. Beijing: Science Press, 2019.
[7] 王长胜, 石玉江, 周金昱, 等. 致密油储层砂体宏观非均质性测井定量表征[J]. 测井技术, 2020, 44(2): 204-208.
WANG Changsheng, SHI Yujiang, ZHOU Jinyu, et al. Logging characterization of macroscopic heterogeneity of tight oil reservoirs[J]. Well Logging Technology, 2020, 44(2): 204-208.
[8] 姚东华, 付晨东, 赵杰, 等. 松辽盆地北部致密油储层甜点分类方法研究[J]. 测井技术, 2019, 43(5): 504-508.
YAO Donghua, FU Chendong, ZHAO Jie, et al. Sweet spot classification method for tight oil reservoirs in Northern Songliao Basin[J]. Well Logging Technology, 2019, 43(5): 504-508.
[9] 钟光海, 陈丽清, 廖茂杰, 等. 页岩气储层品质测井综合评价[J]. 天然气工业, 2020, 40(2): 54-60.
ZHONG Guanghai, CHEN Liqing, LIAO Maojie, et al. A comprehensive logging evaluation method of shale gas reservoir quality[J]. Natural Gas Industry, 2020, 40(2): 54-60.
[10] 高楚桥, 袁云福, 吴洪深, 等. 莺歌海盆地束缚水饱和度测井评价方法研究[J]. 天然气工业, 2003, 23(5): 38-40.
GAO Chuqiao, YUAN Yunfu, WU Hongshen, et al. Research on the log evaluation method of irreducible water saturation in Yinggehai Basin[J]. Natural Gas Industry, 2003, 23(5): 38-40.
[11] 梁灿, 肖立志, 周灿灿, 等. 岩石润湿性的核磁共振表征方法与初步实验结果[J]. 地球物理学报, 2019, 62(11): 4472-4481.
LIANG Can, XIAO Lizhi, ZHOU Cancan, et al. NMR characterization of rock wettability and its preliminary experimental results[J]. Chinese Journal of Geophysics, 2019, 62(11): 4472-4481.
[12] 刘学锋, 张伟伟, 孙建孟, 等. 三维数字岩心建模方法综述[J]. 地球物理学进展, 2013, 28(6): 3066-3072.
LIU Xuefeng, ZHANG Weiwei, SUN Jianmeng, et al. Review of 3D digital core modeling methods[J]. Progress in Geophysics, 2013, 28(6): 3066-3072.
[13] 李国欣, 刘国强, 侯雨庭, 等. 陆相页岩油岩相特征及其优选评价方法: 以鄂尔多斯盆地三叠系延长组长73段为例[R]. 北京: 中国石油勘探技术交流大会, 2020.
LI Guoxin, LIU Guoqiang, HOU Yuting, et al. Lithofacies characteristics of lacustrine shale oil and its optimization evaluation method: Chang 73 Member of Triassic Yanchang Formation in Ordos Basin[R]. Beijing: Petroleum Exploration Technology Exchange Conference, 2020.
[14] 龙胜祥, 彭勇民, 刘华, 等. 四川盆地东南部下志留统龙马溪组一段页岩微—纳米观地质特征[J]. 天然气工业, 2017, 37(9): 23-30.
LONG Shengxiang, PENG Yongmin, LIU Hua, et al. Micro- and nano-scale geological characteristics of the shale in the first Member of Lower Silurian Longmaxi Fm in SE Sichuan Basin[J]. Natural Gas Industry, 2017, 37(9): 23-30.
[15] 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.
YAN Jianping, WEN Danni, LI Zunzhi, et al. Quantitative evaluation method of pore structure of low permeability sandstone based on NMR logging: The Fourth Member of Shahejie Formation of South Slope in Dongying Sag[J]. Chinese Journal of Geophysics, 2016, 59(4): 1543-1552.
[16] YAN Jianping, HE Xu, GENG Bin, et al. Nuclear magnetic resonance T2 spectrum multifractal characteristics and pore structure evaluation[J]. Applied Geophysics, 2017, 14(2): 205-215.
[17] YAN Jianping, HE Xu, ZHANG Shaolong, et al. Sensitive parameters of NMR T2 spectrum and their application to pore structure characterization and evaluation in logging profile: A case study from Chang 7 in the Yanchang Formation, Heshui area, Ordos Basin, NW China[J]. Marine and Petroleum Geology, 2020, 111(1): 230-239.
[18] 邓峰, 熊春明, 陈诗雯, 等. 油气多相流磁共振在线检测方法及装置[J]. 石油勘探与开发, 2020, 47(4): 798-808.
DENG Feng, XIONG Chunming, CHEN Shiwen, et al. A method and device for online magnetic resonance multiphase flow detection[J]. Petroleum Exploration and Development, 2020, 47(4): 798-808.
[19] 葸克来, 李克, 操应长, 等. 鄂尔多斯盆地三叠系延长组长73亚段富有机质页岩纹层组合与页岩油富集模式[J]. 石油勘探与开发, 2020, 47(6): 1244-1255.
XI Kelai, LI Ke, CAO Yingchang, et al. Laminae combination and shale oil enrichment patterns of Chang 73 sub-memberorganic-rich shales in the Triassic Yanchang Formation, Ordos Basin, NW China[J]. Petroleum Exploration and Development, 2020, 47(6): 1244-1255.
[20] YAN Jianping, HE Xu, HU Qinhong, et al. Lower Es3 in Zhanhua Sag, Jiyang Depression: A case study for lithofacies classification in lacustrine mud shale[J]. Applied Geophysics, 2018, 15(2): 151-164.
[21] 邵红梅, 高波, 洪淑新, 等. 页岩油储层实验技术进展及应用[J]. 大庆石油地质与开发, 2020, 39(3): 97-106.
SHAO Hongmei, GAO Bo, HONG Shuxin, et al. Progress and application of the experimental technologies for shale oil reservoirs: A case study on Gulong Area in Songliao Basin[J]. Petroleum Geology and Oilfield Development in Daqiang, 2020, 39(3): 97-106.
[22] 陈佳伟, 王伟锋. 页岩油可动性及甜点区评价方法研究[R]. 焦作:第十四届全国古地理学及沉积学学术会议, 2016.
CHEN Jiawei, WANG Weifeng. Study on shale oil mobility and evaluation method of sweet spot[R]. Jiaozuo: The 14th National Symposium on Paleogeography and Sedimentology, 2016.
[23] 朱晓萌, 朱文兵, 曹剑, 等. 页岩油可动性表征方法研究进展[J]. 新疆石油地质, 2019, 40(6): 745-753.
ZHU Xiaomeng, ZHU Wenbing, CAO Jian, et al. Research progress on shale oil mobility characterization[J]. Xinjiang Petroleum Geology, 2019, 40(6): 745-753.
[24] KAUSIK R, FELLAH K, RYLANDER E, et al. NMR Relaxometry in Shale and Implications for Logging[J]. Petrophysics, 2016, 57(4): 339.
[25] VIVEK A, MANSOOR R A, et al. New generation NMR tool from Robust, continuous T1 and T2 measurements[R]. Long Beach: 2016 SPWLA Annual Conference, 2015.
[26] RICKMAN R, MULLEN M J, PETRE J E, et al. A practical use of shale petrophysics for stimulation design optimization: All shale plays are not clones of the Barnett Shale[R]. SPE 115258, 2008.
[27] JARVIE D M, HILL R J, RUBLE T E, et al. Unconventional shale-gas systems: The Mississippian Barnett Shale of north-central Texas as one model for thermogenic shale gas assessment[J]. AAPG Bulletin, 2007, 91: 475-499.
[28] 冯笑含, 赵万春, 王婷婷, 等. 非均质致密储层微观力学特征分析及脆性评价方法研究[J]. 特种油气藏, 2019, 26(6): 113-117.
FENG Xiaohan, ZHAO Wanchun, WANG Tingting, et al. Micromechanical analysis and brittleness evaluation of heterogeneous tight reservoir[J]. Special Oil and Gas Reservoirs, 2019, 26(6): 113-117.
[29] 王斌, 邓继新, 刘喜武, 等. 矿物组分对龙马溪组页岩动、静态弹性特征的影响[J]. 地球物理学报, 2019, 62(12): 4833-4845.
WANG Bin, DENG Jixin, LIU Xiwu, et al. The influence of rock composition on dynamic and static elastic properties of longmaxi formation shales[J]. Chinese Journal of Geophysics, 2019, 62(12): 4833-4845.
[30] JIANG L, SCHILLING K, LOGAN J, et al. Radial profiling for completion effectiveness with sonic measurement in the Gulf of Thailand[R]. SPE 112385, 2008.
[31] 曹志锋, 黄卫东, 蔺敬旗, 等. 超压油藏测井响应特征与储层评价方法[J]. 测井技术, 2019, 43(6): 637-641.
CAO Zhifeng, HUANG Weidong, LIN Jingqi, et al. Logging response characteristics and reservoir evaluation method of overpresure reservoir[J]. Well Logging Technology, 2019, 43(6): 637-641.
[32] 王鸿升. 论等效深度法预测地层压力存在的问题[J]. 油气地球物理, 2018, 43(6): 64-69.
WANG Hongsheng. On the problems of predicting pore pressure by equivalent depth method[J]. Petroleum Geophysics, 2018, 43(6): 64-69.
[33] 董明哲, 李亚军, 桑茜, 等. 页岩油流动的储层条件和机理[J]. 石油与天然气地质, 2019, 40(3): 636-644.
DONG Mingzhe, LI Yajun, SANG Qian, et al. Reservoir conditions and mechanism of shale oil flow[J]. Oil and Gas Geology, 2019, 40(3): 636-644.
[34] 黄振凯, 郝运轻, 李双建, 等. 鄂尔多斯盆地长7 段泥页岩层系含油气性与页岩油可动性评价: 以H317井为例[J]. 中国地质, 2020, 47(1): 211-219.
HUANG Zhenkai, HAO Yunqing, LI Shuangjian, et al. Oil-bearing potential, mobility evaluation and significance of shale oil in Chang 7 shale system in the Ordos Basin: A case study of well H317[J]. Geology in China, 2020, 47(1): 211-219.
[35] 孙龙德. 古龙页岩油[J]. 大庆石油地质与开发, 2020, 39(3): 1-7.
SUN Longde. Gulong shale oil in Songliao Basin[J]. Petroleum Geology and Oilfield Development in Daqiang, 2020, 39(3): 1-7.
[36] 黎茂稳, 金之钧, 董明哲, 等. 陆相页岩形成演化与页岩油富集机理研究进展[J]. 石油实验地质, 2020, 42(4): 489-505.
LI Maowen, JIN Zhijun, DONG Mingzhe, et al. Advances in the basic study of lacustrine shale evolution and shale oil accumulation[J]. Petroleum Geology and Experiment, 2020, 42(4): 489-505.
文章导航

/