R语言在特低渗透孔隙结构与可动流体关系研究中的应用
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摘要
R语言是一种用于统计分析、绘图的编程语言和平台,主要用于实现复杂数据的可视化。多孔介质的微观孔隙结构对可动流体影响复杂,因此把R语言数据分析方法引入到多因素影响关系的研究中。对长庆油田长8储层岩心进行了恒速压汞、核磁共振实验,分别测定了特低渗砂岩储层孔隙结构及可动流体等参数。恒速压汞实验表明,储层孔隙半径主要为60～120μm,喉道半径集中在1～3μm,孔喉比均值为344.78;核磁共振测定结果表明,可动流体比例为39.69%～55.15%,平均值为46.16%。将R语言用于孔隙半径、喉道半径等与可动流体比例关系研究中的结果显示:单因素分析未考虑多变量间的相互影响,孔隙结构与可动流体关系不理想;通过R语言建立了多元线性模型,拟合优度较高(R~2=0.98),其中,渗透率对可动流体比例的影响相对权重最高(32.92%),余下依次为主流喉道半径(16.36%)、孔隙度(13.99%)、孔喉比(13.30%)、平均喉道半径(12.29%)和孔喉分选系数(11.14%)。研究表明,用R语言能够从新的层面对孔隙结构与可动流体关系进行分析,对可动流体赋存特征研究具有重要的指导意义。
R language is one of the programming languages and platforms for statistical analysis and drawing, and mainly used for the visualization of the complex data. The microscopic pore structure of the porous media has the complex influence on the movable fluid, so the R language data analysis method was introduced into the study of the multi-factor impacting relationship. The pore structure and movable fluid parameters were determined by constant-speed mercury intrusion(CSMI) and nuclear magnetic resonance(NMR) experiments of the cores from Chang 8 super-low permeability sandstone reservoir in Changqing Oilfield. CSMI results demonstrate that the reservoir pore radii are mainly between 60 μm and 120 μm, the throat radii are concentrated in the range from 1 μm to 3 μm, and the average pore-throat ratio is 344.78; NMR results display that the percentages of the movable fluid are between 39.69% and 55.15% with an average of 46.16%. The results of studying the relationship between the pore radius, throat radius etc. and the movable fluid percentage by means of the R-language show that the single-factor analysis doesn't consider the interaction among the multiple variables, and the relationship between the pore structure and mobile fluid is not ideal; A multiple linear model was established through the R language, with mach higher degree of the goodness of fit(R~2=0.98), among them, the permeability has the highest relative weight on the percentage of the movable fluid(32.92%), the next are the mainstream throat radius(16.36%), porosity(13.99%), pore throat ratio(13.30%), mean throat radius(12.29%), and sorting coefficient of the pore throat(11.14%). The study results show that the R language can analyze the relationship between the pore structure and the movable fluid from a new aspect, and moreover it has important guiding significance for studying the existence characteristics of the movable fluid.
R language is one of the programming languages and platforms for statistical analysis and drawing, and mainly used for the visualization of the complex data. The microscopic pore structure of the porous media has the complex influence on the movable fluid, so the R language data analysis method was introduced into the study of the multi-factor impacting relationship. The pore structure and movable fluid parameters were determined by constant-speed mercury intrusion(CSMI) and nuclear magnetic resonance(NMR) experiments of the cores from Chang 8 super-low permeability sandstone reservoir in Changqing Oilfield. CSMI results demonstrate that the reservoir pore radii are mainly between 60 μm and 120 μm, the throat radii are concentrated in the range from 1 μm to 3 μm, and the average pore-throat ratio is 344.78; NMR results display that the percentages of the movable fluid are between 39.69% and 55.15% with an average of 46.16%. The results of studying the relationship between the pore radius, throat radius etc. and the movable fluid percentage by means of the R-language show that the single-factor analysis doesn't consider the interaction among the multiple variables, and the relationship between the pore structure and mobile fluid is not ideal; A multiple linear model was established through the R language, with mach higher degree of the goodness of fit(R~2=0.98), among them, the permeability has the highest relative weight on the percentage of the movable fluid(32.92%), the next are the mainstream throat radius(16.36%), porosity(13.99%), pore throat ratio(13.30%), mean throat radius(12.29%), and sorting coefficient of the pore throat(11.14%). The study results show that the R language can analyze the relationship between the pore structure and the movable fluid from a new aspect, and moreover it has important guiding significance for studying the existence characteristics of the movable fluid.
引文
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[2]叶礼友,高树生,熊伟,等.可动水饱和度作为低渗砂岩气藏储层评价参数的论证[J].石油天然气学报,2011,33(1):57-59.YE Liyou,GAO Shusheng,XIONG Wei,et al.Demonstration of mobile water saturation as evaluation parameter of low permeability sandstone gas reservoir [J].Journal of Oil and Gas Technology,2011,33(1):57-59.
[3]李海波,郭和坤,杨正明,等.鄂尔多斯盆地陕北地区三叠系长7 致密油赋存空间[J].石油勘探与开发,2015,42(3):396-400.LI Haibo,GUO Hekun,YANG Zhengming,et al.Tight oil occurrence space of Triassic Chang 7 Member in Northern Shaanxi area,Ordos Basin,NW China[J].Petroleum Exploration and Development,2015,42(3):396-400.
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[11]杨秋莲,李爱琴,孙燕妮,等.超低渗储层分类方法探讨[J].岩性油气藏,2007,19(4):51-56.YANG Qiulian,LI Aiqin,SUN Yanni,et al.Classification method for extra-low permeability reservoirs [J].Lithologic Reservoirs,2007,19(4):51-56.
[12]殷代印,王东琪,周亚洲,等.长垣外围特低渗透油藏扶杨油层分类界限[J].大庆石油地质与开发,2016,35 (6):37-42.YIN Daiyin,WANG Dongqi,ZHOU Yazhou,et al.Classifying limits of Fuyang oil reservoirs with ultra-low permeability around the Placanticline[J].Petroleum Geology & Oilfield Development in Daqing,2016,35 (6):37-42.
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[16]高辉,孙卫,路勇,等.特低渗透砂岩储层油水微观渗流通道与驱替特征实验研究:以鄂尔多斯盆地延长组为例[J].油气地质与采收率,2011,18(1):58-62.GAO Hui,SUN Wei,LU Yong,et al.Experimental study on micro-flow channel and displacement characteristic of ultra-low permeability sandstone reservoir:Taking Yanchang Formation,Ordos Basin as example[J].Petroleum Geology and Recovery Efficiency,2011,18(1):58-62.
[17]郑可,徐怀民,陈建文,等.低渗储层可动流体核磁共振研究[J].现代地质,2013,27(3):710-718.ZHENG Ke,XU Huaimin,CHEN Jianwen,et al.Movable fluid study of low permeability reservoir with nuclear magnetic resonance technology[J].Geoscience,2013,27(3):710-718.
[18]ANATOLY L,JEAN-MICHEL B,ALAIN B,et al.Nuclear magnetic resonance as a geophysical tool for hydrogeologists [J].Journal of Applied Geophysics,2002,50(1-2):21-46.
[19]COWAN B.Nuclear magnetic resonance and relaxation[M].Cambridge:Cambridge University Press,1997:185-187.
[20]王瑞飞,陈明强.特低渗透砂岩储层可动流体赋存特征及影响因素[J].石油学报,2008,29(4):558-561.WANG Ruifei,CHEN Mingqiang.Characteristics and influencing factors of movable fluid in ultra-low permeability sandstone reservoir[J].Acta Petrolei Sinica ,2008,29(4):558-561.
[21]刘登科,孙卫,任大忠,等.致密砂岩气藏孔喉结构与可动流体赋存规律:以鄂尔多斯盆地苏里格气田西区盒8段、山1段储层为例[J].天然气地球科学,2016,27(12):2136-2146.LIU Dengke,SUN Wei,REN Dazhong,et al.Features of pore-throat structures and movable fluid in tight gas reservoir:A case from the 8th Member of Permian Xiashihezi Formation and the 1st Member of Permian Shanxi Formation in the western area of Sulige Gas Field,Ordos Basin [J].Natural Gas Geoscience,2016,27(12):2136-2146.
[22]王为民,郭和坤,叶朝辉.利用核磁共振可动流体评价低渗透油田开发潜力[J].石油学报,2001,22(6):40-44.WANG Weimin,GUO Hekun,YE Zhaohui.The evaluation of development potential in low permeability oilfield by the aid of NMR movable fluid detecting technology [J].Acta Petrolei Sinica,2001,22(6):40-44.
[23]GAO Hui,LI Huazhou.Determination of movable fluid percentage and movable fluid porosity in ultra-low permeability sandstone using nuclear magnetic resonance (NMR) technique[J].Journal of Petroleum Science and Engineering,2015,133:258-267.
[24]杨中庆.基于R语言的空间统计分析研究与应用[D].广州:暨南大学,2006.YANG Zhongqing.Research and application of spatial statistics analysis based on R [D].Guangzhou:Jinan University,2006.
[25]Robert I.R in action :Data analysis and graphics with R [M].2th ed.Greenwich:Manning Publications Co,2015:167-180.
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