油气地质

基于 CT 扫描图像的页岩储层非均质性研究

  • 庞军刚 ,
  • 王桂成 ,
  • 石 勇 ,
  • 李 赛 ,
  • 朱鹏辉
展开
  • 中国石油勘探开发研究院,北京 100083
徐祖新( 1988- ),男,中国石油勘探开发研究院在读博士研究生,研究方向为非常规油气地质与评价。 地址:( 100083 )北京市海淀区学院路 20 号 910 信箱中国石油勘探开发研究院地质所。 E-mail : xuzuxin-20081234@163.com 。

网络出版日期: 2014-11-20

基金资助

国土资源部科技专项“全国油气资源战略选区调查与评价”(编号: 2009QYXQ15-07-05 )资助

Heterogeneity of shale reservoirs based on CT images

  • PANG Jungang ,
  • WANG Guicheng ,
  • SHI Yong ,
  • LI Sai ,
  • ZHU Penghui
Expand
  •  PetroChina Research Institute of Petroleum Exploration & Development , Beijing 100083 , China

Online published: 2014-11-20

摘要

为了研究页岩储层的非均质性,利用数字图像处理技术对页岩 CT 扫描图像进行分析,研究页岩矿 物组分的分布特征,并讨论矿物组分的含量与分形维数之间的关系。 研究结果表明:在页岩 CT 扫描图像 上显示矿物组分的密度大于有机质和微孔隙的密度,因此页岩矿物组分很容易被识别出来。 同时,页岩矿 物组分的分布具有分形特征,表现出一定的自相似性,矿物组分的分形维数可以有效地反映矿物组分的 非均质性。 因此,基于灰度 CT 扫描图像的页岩非均质性研究是页岩储层评价的有效补充,可以更好地指 导页岩脆性评价。

本文引用格式

庞军刚 , 王桂成 , 石 勇 , 李 赛 , 朱鹏辉 . 基于 CT 扫描图像的页岩储层非均质性研究[J]. 岩性油气藏, 2014 , 26(6) : 46 -49 . DOI: 10.3969/j.issn.1673-8926.2014.06.008

Abstract

 In order to study the heterogeneity of shale mineral components, this paper analyzed the CT scanning images of shale by using digital image processing techniques, studied the distribution characteristics of shale mineral components, and discussed the relationship between the content of mineral components and fractal dimension. The research results show that the density of shale mineral components on the CT image is much greater than that of organic matter and micro pore structure, so the mineral components are easy to identify. At the same time, the distribution of shale mineral components have fractal characteristics, showing a certain self-similarity, and the fractal dimension of mineral components can reflect the heterogeneity of mineral components. The study on shale heterogeneity based on CT images is an effective supplement of shale reservoir evaluation, and it can guide the evaluation of shale brittleness.

参考文献

[2]Bowker K A. Barnett Shale gas production,Fort Worth Basinissues and discussion[J]. AAPU Bulletin,2007,91(4):523-533.
[3]Burnaman M D, Xia Wenwu, Shelton J. Shale gas play screening and evaluation criteria[J]. China Petroleum Exploration,2009,14(3): 51-64.
[4]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]. AAPU Bulletin, 2007,91(4):475-499.
[5]李庆辉,陈勉,金衍,等.页岩脆性的室内评价方法及改进[J].岩石力学与工程学报,2012,31(8):1680-1685.
[6]蒋裕强,董大忠,漆麟,等.页岩气储层的基本特征及其评价[J].天然气工业,2010,30(10):7 -12.
[7]Raynaud S,Fabre D,Mazerolle F,et al. Analysis of the internal structure of rocks and characterization of mechanical deformation by a nondestructive method:X-ray tomodensitometry[J]. Tectonophysics, 1989, 159(1):49-59.
[8]Raynaud S, Ngan-Tillard D,Desrues J,et al. Brittle-to-ductile transition in beaucaire marl from triaxial tests under the CT-scanner [J]. International Journal of Rock Mechanics & Mining Sciences, 2008,45(5):653-671.
[9]Karacan C O, Okandan E. Adsorption and gas transport in coal microstructure:Investigation and evaluation by quantitative X-ray CT imaging[J]. Fuel,2001,80:509-520.
[10]谢和平.分形几何及其在岩土力学中的应用[J].岩土工程学报,1992,14(1):14-24.
[11]谢和平. 分形-岩石力学导论[M]. 北京:科学出版社,1996.
[12]王银改. ImageJ 软件在检验医学图像分析处理中的应用[J].中华检验医学杂志,2005,28(7):747-748.
[13]王银改,王清改,翟素平. ImageJ 软件辅助分析在网织红细胞计数中的应用[J].临床检验杂志,2005,23(3):210-211.
[14]Curtis M E , Cardott B J , Sondergeld C H , et al. Development of organic porosity in the Woodford Shale with increasing thermal maturity [J]. International Journal of Coal Geology,2012,26(31):26-30.
[15]Keller L M, Schuetz P, Erni R, et al. Characterization of multi-scale microstructural features in Opalinus Clay[J]. Microporous and Mesoporous Materials,2013,83:84-90.
[16]杨更社,谢定义,张长庆,等. 岩石损伤特性的 CT 识别[J].岩石力学与工程学报,1996,15(1):48-54.
[17]范留明,李宁,丁卫华. 数字图像伪彩色增强方法在岩土 CT 图像分析中的应用[J].岩石力学与工程学报,2004,23(13):2257-2261.
[18]屈世显,张建华.分形与分维及在地球物理学中的应用[J].西安石油大学学报:自然科学版,1991,6(2):8-13.
[19]贺承祖,华明琪.储层孔隙结构的分形几何描述[J].石油与天然气地质,1998,19(1):15-23.
[20]马新仿,张士诚,郎兆新.储层岩石孔隙结构的分形研究[J].中页岩气发育有利区预测[J].石油学报,2009,30(4):484-491.
文章导航

/