一种基于数字岩心技术的岩石等效电参数计算方法
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摘要
研究储层岩石的等效电学参数有助于判断地下油气储藏分布和鉴别油水层,以数字化方法开展精确岩石模型的等效电学参数计算及评价工作对岩石物理理论、实验方法发展及电测井应用等都具有重要的意义。数字岩心技术作为一种新兴的岩心分析方法,已逐渐成为研究岩石等效电学参数的有效方法之一。笔者基于数字岩心及电磁仿真技术,系统性地开展了样本图像数据处理、三维岩石数值模型转化及其等效电学参数计算等工作,对砂岩、页岩等4种岩石样本进行计算和分析,这一套针对扫描岩心图像的数据处理、数值模型转换以及电磁参数计算方法可应用于高效、精确分析不同类型数字岩心的介电常数、电导率等电磁学特性,可为岩石物理、测井解释、储层评价等领域提供重要的参考依据。
The study of the effective electrical properties of reservoir rocks can be used to determine the distribution of underground oil and gas storage and identify the oil and water layers. The accurate evaluation of the effective electrical properties of rock models by digital means is of great significance not only forthe theoretical rock physics but also for the development of experimental methods and the application of electrical logging methods. As a new core analysis method,digital rock core technology has gradually become one of the effective methods for studying the effective electrical properties of rocks. Based on the technology of digital core and electromagnetic simulation,the data processing for sample image dataset,the authors carried out the numerical 3 D rock model transformation and the computation of the effective electrical properties systematically. Furthermore,four types of rock samples such as sandstone and shale were investigated to discuss the validity and accuracy of the numerical core analysis method. This set of methods for data processing,numerical model conversion and calculation of electromagnetic parameters for scanned core images can be used to efficiently and accurately analyze different types of digital core dielectric constant,conductivity and other properties,which can provide important reference for such fields as rock physics,logging interpretation and reservoir evaluation.
The study of the effective electrical properties of reservoir rocks can be used to determine the distribution of underground oil and gas storage and identify the oil and water layers. The accurate evaluation of the effective electrical properties of rock models by digital means is of great significance not only forthe theoretical rock physics but also for the development of experimental methods and the application of electrical logging methods. As a new core analysis method,digital rock core technology has gradually become one of the effective methods for studying the effective electrical properties of rocks. Based on the technology of digital core and electromagnetic simulation,the data processing for sample image dataset,the authors carried out the numerical 3 D rock model transformation and the computation of the effective electrical properties systematically. Furthermore,four types of rock samples such as sandstone and shale were investigated to discuss the validity and accuracy of the numerical core analysis method. This set of methods for data processing,numerical model conversion and calculation of electromagnetic parameters for scanned core images can be used to efficiently and accurately analyze different types of digital core dielectric constant,conductivity and other properties,which can provide important reference for such fields as rock physics,logging interpretation and reservoir evaluation.
引文
[1]栗猛.岩石介电频散实验及介电饱和度模型模拟[D].吉林:吉林大学,2017.
[2]聂昕.页岩气储层岩石数字岩心建模及导电性数值模拟研究[D].北京:中国地质大学(北京),2014.
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[9]杨永飞,王晨晨,姚军,等.页岩基质微观孔隙结构分析新方法[J].地球科学,2016,41(6):1067-1073.
[10]张强,李炎龙,徐平,等.基于有限元法的数字岩心导电性数值模拟[J].地球物理学进展,2017,32(5):2148-2151.
[11]赵丽.基于周期微结构模型的岩石等效电特性数值仿真与分析[D].西安:长安大学,2017.
[12]陈超.基于CT图像的地质样品孔隙度测量技术研究[D].重庆:重庆大学,2013.
[13] Barrett H,Swindell W. Radiological Imaging[M]. New York:Academic Press,1981.
[14] Ostu. A Threshold selection method from Gray-Level Histograms[J]. systems man and cybernetics,IEEE Transactions on,1979,9(1):62-66.
[15] Hays J D,Pfirman S B,Blumenthal. Earth Science in struction with digital data. Computer&Geosciences[J]. Journal of systems and software,2000,26(6):657-668.
[16]许文博.岩石电特性自动化测量系统的设计与实现[D].西安:长安大学,2017.
[2]聂昕.页岩气储层岩石数字岩心建模及导电性数值模拟研究[D].北京:中国地质大学(北京),2014.
[3] Reint de Boer. Reflections on the development of the theory of porous media[J]. Applied Mechanics Reviews,2003,56(6):R27-R42.
[4]孙建孟,姜黎明,刘学锋,等.数字岩心技术测井应用与展望[J].测井技术,2012,36(1):1-7.
[5]刘善琪,李永兵,田会全,等.含湿孔隙岩石有效热导率的数值分析[J].地球物理学报,2012,55(12):4239-4248.
[6] Golab A N,Knackstedt M,Averdunk H. 3D porosity and mineralogy characterization in tight gas sandstones[J]. Leading Edge,December 2010:1476-1483.
[7] Andersson L,Jones A,Knackstedt M,et al. Permeability pore connectivity and critical pore throat control of expandable polymeric sphere template macroporous alumina[J]. Acta Materlia,2010,59(3):1239-1248.
[8]朱伟,单蕊.虚拟岩石物理研究进展[J].石油地球物理勘探,2014,49(6):1138-1147.
[9]杨永飞,王晨晨,姚军,等.页岩基质微观孔隙结构分析新方法[J].地球科学,2016,41(6):1067-1073.
[10]张强,李炎龙,徐平,等.基于有限元法的数字岩心导电性数值模拟[J].地球物理学进展,2017,32(5):2148-2151.
[11]赵丽.基于周期微结构模型的岩石等效电特性数值仿真与分析[D].西安:长安大学,2017.
[12]陈超.基于CT图像的地质样品孔隙度测量技术研究[D].重庆:重庆大学,2013.
[13] Barrett H,Swindell W. Radiological Imaging[M]. New York:Academic Press,1981.
[14] Ostu. A Threshold selection method from Gray-Level Histograms[J]. systems man and cybernetics,IEEE Transactions on,1979,9(1):62-66.
[15] Hays J D,Pfirman S B,Blumenthal. Earth Science in struction with digital data. Computer&Geosciences[J]. Journal of systems and software,2000,26(6):657-668.
[16]许文博.岩石电特性自动化测量系统的设计与实现[D].西安:长安大学,2017.