低场磁共振技术与应用专栏

页岩油气层核磁共振评价技术综述

  • 王志战1* ,
  • 李新1 ,
  • 魏杨旭2 ,
  • 秦黎明1 ,
  • 陆黄生1
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  • 1. 中国石化石油工程技术研究院 测录井研究所,北京 100101
    2. 西安石油大学 地球科学与工程学院,陕西 西安 710065
王志战(1969-),男,山东栖霞人,博士,教授级高工,主要研究方向为低场核磁共振录井技术、地层压力随钻预测和监测技术、非常规油气储层快速评价技术.电话: 010-84988382, E-mail: pjes@163.com. *通讯联系人.

收稿日期: 2014-08-04

  修回日期: 2015-10-26

  网络出版日期: 2015-12-05

基金资助

中国石油化工股份有限公司油田事业部资助项目(YTXD-PT1203D)

NMR Technologies for Evaluating Oil & Gas Shale: A Review

  • WANG Zhi-zhan1* ,
  • LI Xin1 ,
  • WEI Yang-xu2 ,
  • QIN Li-ming1 ,
  • LU Huang-sheng1
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  • 1. SINOPEC Research Institute of Petroleum Engineering, Beijing 100101, China;
    2. Xi’an Shiyou University, School of Earth Science and Engineering, Xi’an 710065, China
*Corresponding author: WANG Zhi-zhan: Tel: +86-10-84988382, E-mail: pjes@163.com

Received date: 2014-08-04

  Revised date: 2015-10-26

  Online published: 2015-12-05

Supported by

中国石油化工股份有限公司油田事业部资助项目(YTXD-PT1203D)

摘要

对于常规储层,核磁共振是一项十分有效的解释—评价技术,它既能评价岩石物性与孔隙结构,又能评价孔隙流体分布与饱和度,且具有快速、无损、经济等特点;而对于页岩储层,其核磁共振受纳米级孔隙、复杂矿物成分、特殊孔隙结构、较高有机质含量、超低渗透性及内部梯度和受限扩散等因素的影响,面临探测分辨率低、解释模型不适用等瓶颈.为了发挥该项技术在页岩油气勘探开发中的作用,将国内外的页岩油气层核磁共振分析、评价技术与相关的页岩油气层实验室微观分析成果相结合,进行了系统梳理,从探测分辨率的提高、孔隙结构与岩石物性评价模型的建立、孔隙流体分布与识别模型的建立等方面进行了综述,提出需加强纳米孔的核磁共振弛豫机理和提高 D-T2 二维谱分辨率两个基础研究,在此基础上,进一步完善岩石物理及孔隙流体两个评价模型.

本文引用格式

王志战1* , 李新1 , 魏杨旭2 , 秦黎明1 , 陆黄生1 . 页岩油气层核磁共振评价技术综述[J]. 波谱学杂志, 2015 , 32(4) : 688 -698 . DOI: 10.11938/cjmr20150414

Abstract

For conventional reservoir, NMR is an effective technology that can be used to evaluate petrophysics and pore structure, distribution and saturation of pore fluid rapidly, nondestructively and economically. Applying NMR technologies to evaluate shale reservoir, however, often encounters problems such as low resolution and inapplicable interpretation and evaluation models, due to reservoir characteristics such as nanoscale pore, complex mineral composition, complex pore structure, high organic content, ultralow permeability, influence of internal field gradients and restricted diffusion et al. In this paper, we reviewed recent progresses in NMR technologies for shale oil and gas exploration and exploitation, and related data analysis methods. Special attention was given to areas such as improvement of NMR detection resolution and novel evaluation models for pore structure, rock physical property, and pore fluid distribution and recognition. Two areas needed further research are identified: relaxation mechanisms inside nano-pore and improving pore scale resolution of D-T2. Petrophysics evaluation model and pore fluid evaluation model also need to be further optimized.

参考文献

 


[1]          Zou Cai-neng(邹才能), Dong Da-zhong(董大忠), Yang Hua(杨桦), et al. Conditiona of shale gas accumulation and exploration practice in China(中国页岩气形成条件及勘探实践)[J]. Natural Gas Industry(天然气工业), 2011, 31(12): 26-39.

[2]          Zou Cai-neng(邹才能). Unconventional Petroleum Geology(非常规油气地质)[M]. Beijing(北京): Geological Pubilishing House(地质出版社), 2013.

[3]          Buller D, Hughes S, Petre E, et al. Petrophysical Evaluation for Enhancing Hydraulic Stimulation in Horizontal Shale Gas Wells[C]. SPE 132990, 2010.

[4]          Loucks R G, Reed R M, Ruppel S C, et al. Spectrum of pore types and networks in mudrocks and a descriptive classification for matrix-related mudrock pores[J]. AAPG Bulletin, 2012, 96(6): 1 071-1 098.

[5]          Yang Feng(杨峰), Ning Zheng-fu(宁正福), Hu Chang-peng(胡昌蓬), et al. Characterization of microscopic pore structures in shale reservoir(页岩储层微观孔隙结构特征)[J]. Acta Petrolei Sinica(石油学报), 2013, 34(2): 301-311.

[6]          Zhong Tai-xian(钟太贤). Characteristics of pore structure of marine shales in south China(中国南方海相页岩孔隙结构特征)[J]. Natural Gas Industry(天然气工业), 2012, 32(9): 1-4.

[7]          Han Hui(韩辉), Zhong Ning-ning(钟宁宁), Jiao Shu-jing(焦淑静), et al. Scanning electron microscope observation of pores in mudstone and shale(泥页岩孔隙的扫描电子显微镜观察)[J]. Journal of Chinese Electron Microscopy Society(电子显微学报), 2013, 32(4): 325-330.

[8]          Han Shuang-biao(韩双彪), Zhang Jin-chuan(张金川), Brian Horsfield, et al. Pore types and characteristics of shale gas reservoir: a paleozoic case study of lower shale in southeast Chongqing(页岩气储层孔隙类型及特征研究: 以渝东南下古生界为例)[J]. Earth Science Frontiers(地学前缘), 2013, 20(3): 247-253.

[9]          Zou Cai-neng(邹才能), Yang Zhi(杨智), Zhang Guo-sheng(张国生), et al. Conventional and unconventional petroleum “orderly accumulation”: Concept and practical significance(常规-非常规油气“有序聚集”理论认识及实践意义)[J]. Petroleum exploration and development(石油勘探与开发), 2014, 41(1): 14-27.

[10]       Wang Zhi-zhan(王志战), Zhai Shen-de(翟慎德), Zhou Li-fa(周立发), et al. Application of nuclear magnetic resonance logging technology in physical property analysis of rock(核磁共振录井技术在岩石物性分析方面的应用研究)[J]. Peteroleum Geology & Experiment(石油实验地质), 2005, 27(6): 619-623.

[11]       Wang Zhi-zhan(王志战), Xu Xiao-qiong(许小琼). Quantitative evaluation of reservoir separation with MR-ML technology(利用核磁共振录井技术定量评价储层的分选性)[J]. Chinese J Magn Reson(波谱学杂志), 2010, 27(2):   214-220.

[12]       Wang Z Z, Martinez Y, Strack K, et al. Applications of NMR Mud Logging Technology in China[R].SPWLA 2007 Annual Logging Symposium,X.

[13]       Wang Zhi-zhan(王志战), Zhai Xiao-wei(翟晓薇), Qin Li-ming(秦黎明), et al. Overview on shale oil and gas logging technology(页岩油气藏录井技术现状及发展思路)[J]. Mud Logging Engineering(录井工程), 2013, 24(3): 1-5.

[14]       Magritek, Rock Core Analyzer Features [EB/OL]. http://www.magritek.com/products/rock-core-analyzer/features/.

[15]       Rylander E, Jiang T M, McLin R, et al. NMR T2 Distributions in the Eagle Ford Shale Reflections on Pore Size[C]. SPE 164554, 2013.

[16]       Cao M C, Crary S, Zielinski L, et al. 2D NMR Applications in Uncoventional Reservoirs[C]. SPE 161578, 2012.

[17]       Editorial Committee of the 2nd China Mudlogging Technology Conference(第二届中国石油工业录井技术交流会论文集编委会). Proceedings of the 2nd China Mudlogging Technology Conference(第二届中国石油工业录井技术交流会论文集)[C]. Qingdao(青岛): China University of Petroleum Press(中国石油大学出版社), 2013.

[18]       Du Zhi-qiang(杜志强), Wang Fei-long(王飞龙), Zhang Guo-long(张国龙), et al. X ray fluorescence cutting logging test and its preliminary utilization in horizontal well geosteering(X射线荧光岩屑录井技术试验及在水平井地质导向中的初步应用)[J]. Mud Logging Engineering(录井工程), 2008, 19(2): 13-17.

[19]       Gabriela A Martínez, Lorne A D. Petrophysical Measurements on Shales Using NMR[R]. SPE 62851, 2000.

[20]       Zou Cai-neng(邹才能), Yang Zhi(杨智), Tao Shi-zhen(陶士振), et al. Nano-hydrocarbon and the accumulation in coexisting source and reservoir(纳米油气与源储共生型油气聚集)[J]. Petroleum Exploration and Development(石油勘探与开发), 2012,39(1):13-26.

[21]       Zou Cai-neng(邹才能), Dong Da-zhong(董大忠), Wang She-jiao(王社教), et al. Geological characteristics, formation mechanism and resource potential of shale gas in China(中国页岩气形成机理、地质特征及资源潜力)[J]. Petroleum Exploration and Development(石油勘探与开发), 2010, 37(6): 641-653.

[22]       Zhang Xue-fen(张雪芬), Lu Xian-cai(陆现彩), Zhang Lin-ye(张林晔), et al. Occurrences of shale gas and their petroleum geological significance(页岩气的赋存形式研究及其石油地质意义)[J]. Advances in Earth Science(地球科学进展), 2010, 25(6): 597-604.

[23]       Gomaa A M, Zhang B Y, Chen J H, et al. Innovative Use of NMR to Study the Fracture Fluid Propagation in Shale Formation[C]. SPE 168619, 2014.

[24]       Chi L, Zoya H. Quantifying the Impact of Natural Fractures and Pore Structure on NMR Measurements in Multiple-Porosity Systems[C]. IPTC 17688, 2014.

[25]       Sondergeld C H, Newsham E K, Comisky J T, et al. Petrophysical Considerations in Evaluating and Producing Shale Gas[C]. SPE 131768, 2010.

[26]       Carneiro G, Souza A, Boyd A, et al. Evaluating Pore Space Connectivity by NMR Diffusive Coupling[C]. Dhiba, SPWLA, 2014.

[27]       Jia Cheng-zao(贾承造), Zou Cai-neng(邹才能), Li Jian-zhong(李建忠), et al. Assessment criteria,main types, basic features and resource prospects of the tight oil in China(中国致密油评价标准、主要类型、基本特征及资源前景)[J]. Acta Petrolei Sinica(石油学报), 2012, 33(3): 343-350.

[28]       Odusina E, Sondergeld C, Rai C. An NMR Study on Shale Wettability[C]. CSUG/SPE 147371, 2011.

[29]       Bustin R M, Bustin A M M, Cui X, et al. Impact of Shale Properties on Pore Structure and Storage Characteristics[C]. SPE 119892, 2008.

[30]       Passey Q R, Bohacs K M, Esch W L, et al. From Oil-Prone Source Rock to Gas-Producing Shale Reservoir – Geologic and Petrophysical Characterization of Unconventional Shale-Gas Reservoirs[C]. SPE 131350, 2010.

[31]       Dehghanpour H, Shirdel M. A Triple Porosity Model for Shale Gas Reservoirs[C]. CSUG/SPE 149501, 2011.

[32]       Pour S, Bryant S L. Gas Permeability of Shale[C]. SPE 146944, 2011.

[33]       Clarkson C R, Wood J M, Burgis S E,et al. Nanopore Structure Analysis and Permeability Predictions for a Tight Gas/Shale Reservoir Using Low-Pressure Adsorption and Mercury Intrusion Techniques [C]. SPE 155537, 2012.

[34]       Li Zhi-tao(李志涛), Wang Zhi-zhan(王志战), Lu Zhi-yong(路智勇). Surface NMR Oil and Gas Analysis Technology(地面核磁共振油气分析技术)[M]. Qingdao(青岛): China University of Petroleum Press(中国石油大学出版社), 2014.

[35]       Bray J, Smith C H, Ramakrishna S, et al. Magnetic Resonance Utilization as an Unconventional Reservoir Permeability Indicator[C]. SPE 145709, 2011.

[36]       Smith C H, Ramakrishna S, Bray J. Magnetic Resonance to Identify Permeability in Shale Reservoirs[C]. SPE 166992, 2013.

[37]       Kausik R, Minh C C, Zielinski L, et al. Characterization of Gas Dynamics in Kerogen Nanopores by NMR[C]. SPE 147198, 2011.

[38]       Curtis M E, Cardott B J, Sondergeld C H, et al. The Development of Organic Porosity in the Woodford Shale Related to Thermal Maturity[C]. SPE 160158, 2012.

[39]       Zhang T W, Ellis G S, Ruppel S C, et al. Effect of Organic Matter Properties, Clay Mineral Type and Thermal Maturity on Gas Adsorption in Organic-Rich Shale Systems[C]. SPE 168862/URTeC 1583690, 2013.

[40]       Wei Xiang-feng(魏祥峰), Liu Ruo-bing(刘若冰), Zhang Ting-shan(张廷山), et al. Micro-pores structure characteristics and development control factors of shale gas reservoir: A case of longmaxi formation in XX area of southern Sichuan and northern guizhou(页岩气储层微观孔隙结构特征及发育控制因素——以川南—黔北XX地区龙马溪组为例)[J]. Natural Gas Geoscience(天然气地球科学), 2013, 24(5): 1 048-1 059.

[41]       Wang Zhi-zhan(王志战), Xu Xiao-qiong(许小琼). Research on reservoir aquosity and reservoir validity indentification based on mud-logging method——case of northern slope belt of Dongying sag(储层含水性与有效性的录井识别方法——以东营凹陷北部陡坡带为例)[J]. Petroleum Geology and Recovery Efficiency(油气地质与采收率), 2010, 17(2): 67-69.

[42]      Wang Zhi-zhan(王志战), Xu Xiao-qiong(许小琼), Zhou Bao-jie(周宝洁). Relaxation feathures of pore fluid and water/oil bed recognition with NMR technology(孔隙流体核磁共振弛豫特征及油水层识别方法)[J]. Petroleum Geology and Recovery Efficiency(油气地质与采收率), 2011, 18(2): 41-44.

[43]      Gu Zhao-bin(顾兆斌), Liu Wei(刘卫), Sun Dian-qing(孙佃庆), et al. Identify reservoir fluid types with two dimensional NMR techniques(基于核磁共振二维谱技术识别储层流体类型)[J]. Journal of Southwest Petroleum University(Science & Technology Edituin)[西南石油大学学报(自然科学版)], 2010, 32(5): 83-83.

[44]       Sun B Q. In situ fluid typing and quantification with 1D and 2D NMR logging[J]. Magn Reson Imaging, 2007, 25(4): 521-524.

[45]       Emmanuel T, Sun B Q, Adil M, et al. Revisiting Log-Inject-Log NMR for Remaining Oil Determination: A Field Application of T2-D NMR in the Permian Basin[C]. SPWLA 2011 Annual Logging Symposium, AA, 2011.

[46]       Emmanuel T, Carlos T V, Sun B Q, et al. Lomits of 2D NMR interpretation techniques to quantify pore size, wettability and fluid type: a numerical sensitivity study[J]. SPE Journal, 2006, 9: 353-363.

[47]       Zielinski L, Ramamoorthy R, Minh C C, et al. Restricted Diffusion Effects in Saturation Estimates from 2D Diffusion- Relaxation NMR Maps[C]. SPE 134841, 2010.

[48]       Gu Zhao-bin(顾兆斌), Liu Wei(刘卫), Sun Dian-qing(孙佃庆), et al. Application of 2D NMR techniques in petroleum logging(2D NMR 技术在石油测井中的应用)[J]. Chinese J Magn Reson(波谱学杂志), 2009, 26(4): 560-568.

[49]       Hu Fa-long(胡法龙), Zhou Can-can(周灿灿), Li Chao-liu(李潮流), et al. Fluid identification method based on 2D diffusion-relaxation nuclear magnetic resonance(基于弛豫-扩散的二维核磁共振流体识别方法)[J]. Petroleum Exploration and Development(石油勘探与开发), 2012, 39(5): 552-558.

[50]       Hürlimann M D, Helmer K G, Latour L L, et al. Restricted diffusion in sedimentary rocks: determination of surface-area- to-volume ratio and surface relaxivity[J]. J Magn Reson, 1994, 111(2): 169-178.
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