基于岩石物理转换模型的苏里格致密砂岩储层测井评价与产能预测
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  • 英文篇名:Logging evaluation and productivity prediction of Sulige tight sandstone reservoirs based on petrophysics transformation models
  • 作者:潘保芝 ; 房春慧 ; 郭宇航 ; 张丽华 ; 雷健 ; 范雨霏
  • 英文作者:PAN BaoZhi;FANG ChunHui;GUO YuHang;ZHANG LiHua;LEI Jian;FAN YuFei;College of Geo-exploration Science and Technology,Jilin University;
  • 关键词:致密砂岩 ; 转换模型 ; 相对渗透率 ; 核磁T2分布 ; 产能预测
  • 英文关键词:Tight sandstone;;Transformation model;;Relative permeability;;NMR T2 distribution;;Productivity prediction
  • 中文刊名:DQWX
  • 英文刊名:Chinese Journal of Geophysics
  • 机构:吉林大学地球探测科学与技术学院;
  • 出版日期:2018-12-12
  • 出版单位:地球物理学报
  • 年:2018
  • 期:v.61
  • 基金:中国博士后科学基金(2017M621200,2018T110245)资助
  • 语种:中文;
  • 页:DQWX201812035
  • 页数:10
  • CN:12
  • ISSN:11-2074/P
  • 分类号:393-402
摘要
苏里格地区致密砂岩储层勘探开发难度很大,测井解释遇到了储层参数计算和产能预测不准确的问题.本文针对这些难点,基于已有的转换模型,推导并验证了T_2-I和T_2-K_r转换模型,提出了采用转换模型应用于测井综合解释和产能预测的方法.基于实验数据设定孔径大于1μm的孔隙为大孔,中孔孔径在1μm和0.03μm之间,小孔孔径为0.03μm以下.并建立了不同孔径范围模型中关键参数α与核磁参数T_(2lm)的关系,这为转换模型在测井解释中的应用提供了必要条件.本文在苏里格西区分别应用T_2-I和T_2-K_r转换模型求取含水饱和度和相对渗透率曲线,并进行产能预测,处理结果显示该方法具有很好的应用效果.
        The exploration and development of tight sandstone reservoirs in the Sulige area are very difficult.Log interpretation has encountered inaccuracies in reservoir parameters calculation and productivity prediction.In view of these difficulties,the T_2-I and T_2-K_r models were derived and validated based on the existing transformation models.We also put forward a method of applying the transformation models to comprehensive logging interpretation and productivity prediction.Based on the experimental results,the transformation process needs to be divided into sections,we set the pore radius which greater than 1μm as the macropore,the mesopore ranged from 1μm and 0.03μm,and the micropore was set as the pore radius below 0.03μm.And we established the relationship between the key parameterαand NMR(Nuclear Magnetic Resonance)logging parameter T_(2lm)in different sections of pore size,which provided the necessary conditions for the application of the transformation models in logging interpretation.Using the T_2-I and T_2-K_r models in the western Sulige area,the water saturation and relative permeability curves wereobtained and the productivity prediction was carried out.The conclusions of comprehensive logging interpretation showed that our method achieved good results.
引文
Bai S T,Wan J C,Cheng D J,et al.2014.Study of relationship between petrophysical experimental parameters:capillary pressure,NMRτ2 distribution,resistivity index,relative permeability.Journal of Chengdu University of Technology(Science&Technology Edition)(in Chinese),41(4):483-491.
    Bian H Y,Li K W,Yang J H,et al.2014.A modified method and experimental verification for estimating relative permeability from resistivity logging data.∥International Petroleum Technology Conference.Kuala Lumpur,Malaysia:International Petroleum Technology Conference.
    Brooks R H.1996.Properties of porous media affecting fluid flow.Journal of the Irrigation and Drainage Division,92(2):61-88.
    Burdine N T.1953.Relative permeability calculations from pore size distribution data.Journal of Petroleum Technology,5(3):71-78.
    Coates G,Xiao L Z,Prammer M.2007.NMR Logging Principles and Applications(in Chinese).Meng F Y trans.Petroleum Industry Press,15-45.
    Duan Y Q.2014.Study on sand bodies distribution of Shan 1section and He 8section of Upper Paleozoic in the south of Sulige area[Master′s thesis](in Chinese).Jingzhou:Yangtze University.
    Ge X M,Fan Y R,Wu F,et al.2012.Correspondence of core nuclear magnetic resonance T2spectrum and resistivity index.Journal of China University of Petroleum(in Chinese),36(6):53-56,61.
    Ge X M,Fan Y R,Xing D H,et al.2015.Predicting the relative permeability of water phase based on theory of coupled electricityseepage and capillary bundle model.The Open Petroleum Engineering Journal,8(S1):344-349.
    Guo R.2015.Study on sand bodies distribution of the 8th member of Xiashihezi formation and the 1st member of Shanxi formation at Su-14,Tao-7in the centre of Sulige area[Master′s thesis](in Chinese).Jingzhou:Yangtze University.
    Guo Y H,Pan B Z,Liu W B.2016.A research on the relationship between resistivity index and relative permeability at different measurement conditions based on the pore structure.Environmental Fluid Mechanics,16(6):1129-1141.
    Guo Y H,Pan B Z,Zhang L H,et al.2017.A new model to predict the relative permeability of wetting phase for tight sandstones.Environmental Fluid Mechanics,17(5):1067-1079.
    Guo Z,Jia A L,Bo Y J,et al.2014.Effective sand body distribution and its main controlling factors in tight sandstone gas reservoirs:A case study of southern Sulige Gas Field.Petroleum Geology and Experiment(in Chinese),36(6):684-691.
    He Y D,Mao Z Q,Xiao L Z,et al.2005.An improved method of using NMR T2distribution to evaluate pore size distribution.Chinese Journal of Geophysics(in Chinese),48(2):373-378.
    Jiang B C.2015.Research on percolation characteristic and post-frac productivity prediction for tight sandstone reservoirs in Sulige area[Master′s thesis](in Chinese).Changchun:Jilin University.
    Li D.2014.Research on fluid unit in tight sandstone of Sulige gasfield[Master′s thesis](in Chinese).Changchun:Jilin University.
    Li K,Shapiro M,Horne R N,et al.2014.In situ estimation of relative permeability from resistivity measurements.Petroleum Geoscience,20(1):143-151.
    Li K W,Horne R N.2001.An experimental and analytical study of steam/water capillary pressure.SPE Reservoir Evaluation&Engineering,4(6):477-482.
    Li K W,Williams W.2007.Determination of capillary pressure function from resistivity data.Transport in Porous Media,67(1):1-15.
    Li K W.2008.A new method for calculating two-phase relative permeability from resistivity data in porous media.Transport in Porous Media,74(1):21-33.
    Li Z B,Pan B Z,Fan X M,et al.2007.Geophysical Well Logging Data Processing and Comprehensive Interpretation(in Chinese).Beijing:Geological Publishing House.
    Longeron D G,Argaud M J,Bouvier L.1989.Resistivity index and capillary pressure measurements under reservoir conditions using crude oil.∥59th Ann.Internat Mtg.,Soc.Expi.Geophys..Expanded Abstracts.
    Ma D,Liu C W,Cheng C H.2015.New relationship between resistivity index and relative permeability.Journal of Energy Resources Technology,137(3):032904.
    Pairoys F,Al-Zoukani A,Keskin A.2013.Correlation between resistivity and petrophysical parameters of a carbonate rock during two-phase flow displacements.∥83rd Ann.Internat Mtg.,Soc.Expi.Geophys..Expanded Abstracts.
    Pan B Z,Shi Y J,Jiang B C,et al.2015.Research on gas yield and level prediction for post-frac tight sandstone reservoirs.Journal of Jilin University(Earth Science Edition)(in Chinese),45(2):649-654.
    Purcell W R.1949.Capillary pressures-their measurement using mercury and the calculation of permeability therefrom.Pet Trans AIME.Journal of Petroleum Technology,1(2):39-48.
    Slijkerman W F J,Hofman J P,Looyestijn W J,et al.2001.Apractical approach to obtain primary drainage capillary pressure curves from NMR core and log data.Petrophysics,42(4):40-49.
    Szabo M T.1974.New methods for measuring imbibition capillary pressure and electrical resistivity curves by centrifuge.Society of Petroleum Engineers Journal,14(3):243-252.
    Toledo G T,Novy R A,Davis H T,et al.1994.Capillary pressure,water relative permeability,electrical conductivity and capillary dispersion coefficient of fractal porous media at low wetting phase saturation.SPE Advanced Technology Series,2(1):136-141.
    Wang J J,Gui Z X,Xie X Q,et al.2013.Analysis and application of sensitive parameters of reservoir identification in Sulige Gas Field.Fault-Block Oil and Gas Field(in Chinese),20(2):175-177.
    Wu F,Fan Q C,Huang D,et al.2016.Predicting gas-water relative permeability using nuclear magnetic resonance and mercury injection capillary pressure measurements.Journal of Natural Gas Science and Engineering,32:35-47.
    Zhang C,Zhang Z S,Song Q Q.2012.Relationship between NMRT2distribution and resistivity index.Journal of Jilin University(Earth Science Edition)(in Chinese),42(S2):424-428.
    Zhang C M,Chen Z B,Zhang Z S,et al.2007.Fractal characteristics of reservoir rock pore structure based on NMRT2distribution.Journal of Oil and Gas Technology(in Chinese),29(4):80-86.
    Zhuang H.2013.Research on gas productivity prediction based on logs for post-frac tight sandstone reservoirs in Sulige Area[Master′s thesis](in Chinese).Changchun:Jilin University.
    Zhang Z,Weller A.2014.Fractal dimension of pore-space geometry of an Eocene Sandstone formation.Geophysics,79(6):D377-D387.
    白松涛,万金彬,程道解等.2014.岩石物理实验“四参数”关系研究毛细管压力、核磁共振τ2谱、电阻增大率和相对渗透率.成都理工大学学报(自然科学版),41(4):483-491.
    Coates G,肖立志,Prammer M.2007.核磁共振测井原理与应用.孟繁莹译.北京:石油工业出版社,15-45.
    段雅琦.2014.苏里格南部地区上古生界山1、盒8段砂体展布规律研究[硕士论文].荆州:长江大学.
    葛新民,范宜仁,吴飞等.2012.岩石核磁共振T2谱与电阻率指数的对应性研究.中国石油大学学报(自然科学版),36(6):53-56,61.
    郭智,贾爱林,薄亚杰等.2014.致密砂岩气藏有效砂体分布及主控因素---以苏里格气田南区为例.石油实验地质,36(6):684-691.
    郭榕.2015.苏里格气田苏14、桃7区块盒8-山1段地层对比与砂体展布研究[硕士论文].荆州:长江大学.
    何雨丹,毛志强,肖立志等.2005.核磁共振T2分布评价岩石孔径分布的改进方法.地球物理学报,48(2):373-378.
    蒋必辞.2015.苏里格致密砂岩渗流分析及压裂产能预测方法研究[硕士论文].长春:吉林大学.
    李丁.2014.苏里格气田致密砂岩储层流动单元研究[硕士论文].长春:吉林大学.
    李舟波,潘保芝,范晓敏等.2007.地球物理测井数据处理与综合解释.北京:地质出版社.
    潘保芝,石玉江,蒋必辞等.2015.致密砂岩气层压裂产能及等级预测方法.吉林大学学报(地球科学版),45(2):649-654.
    王俊骏,桂志先,谢晓庆等.2013.苏里格气田储层识别敏感参数分析及应用.断块油气田,20(2):175-177.
    张冲,张占松,宋秋强.2012.核磁共振横向弛豫时间T2谱与电阻率增大系数的关系.吉林大学学报(地球科学版),42(S2):424-428.
    张超谟,陈振标,张占松等.2007.基于核磁共振T2谱分布的储层岩石孔隙分形结构研究.石油天然气学报,29(4):80-86.
    庄华.2013.苏里格致密砂岩气层压裂产能测井预测方法研究[硕士论文].长春:吉林大学.

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