Journal of Jilin University(Earth Science Edition) ›› 2018, Vol. 48 ›› Issue (1): 307-317.doi: 10.13278/j.cnki.jjuese.20160305

Previous Articles     Next Articles

3D Modeling of Digital Core Based on X-ray Computed Tomography

Lin Chengyan1,2, Wang Yang1,2, Yang Shan3, Ren Lihua1,2, You Chunmei4, Wu Songtao5, Wu Yuqi1,2, Zhang Yimin1,2   

  1. 1. School of Geosciences, China University of Petroleum(East China), Qingdao 266580, Shandong, China;
    2. Reservoir Geology Key Laboratory of Shandong Province, Qingdao 266580, Shandong, China;
    3. Exploration and Development Research Institute of Southwest Oil & Gas Field Company, PetroChina, Chengdu 610051, China;
    4. Research Institute of Exploration and Development of Daqing Oilfield Company Ltd, Daqing 163000, Heilongjiang, China;
    5. Research Institute of Petroleum Exploration and Development, Beijing 100083, China
  • Received:2016-10-20 Online:2018-01-26 Published:2018-01-26
  • Supported by:
    Supported by National Science and Technology Major Project(2016ZX05054012)

PDF (PC)

652

Abstract: In order to study the micropore structure of petroleum reservoir and develop 3D micro percolation model, CT(computed tomography)scanning and image processing of typical low- permeability reservoirs were carried out in the H152 area of the middle section of Shahejie Formation in Dongying depression, and a micro digital core model was established. Then, through the analysis and calculation of the model, the reservoir pore throat network model attributions of different scales of pores and throats were displayed intuitively and clearly in three-dimensional space. Based on the analysis and calculation of dynamic and static parameters such as pore structure, porosity, permeability and pressure drop, a micro percolation model of reservoir samples was established. According to the comparison of algorithm and analysis of the parameters, it is concluded that:Compared with the traditional median filter, the non-local-means filter algorithm that based on the comparison of similarity and the accuracy of the model is improved; The CT-based digital core can provide a reliable digital model for geological research; Based on the assumption of isobaric surface, the numerical simulation of percolation was carried out, and the characteristics of fluid transport were analyzed. The numerical simulation of percolation provides a new way to reveal the transport law of low permeability reservoir.

Key words: digital core, pore structure, pore-network model, modeling, micro percolation, computed tomography, Dongying depression

CLC Number: 

  • TE122.2
[1] 刘学锋. 基于数字岩心的岩石声电特性微观数值模拟研究[D].青岛:中国石油大学(华东),2010. Liu Xuefeng. Numerical Simulation of Elastic and Electrical Properties of Rock Based on Digital Cores[D]. Qingdao: China University of Petroleum (East China), 2010.
[2] Rosenberg E, Lynch J, Guéroult P, et al. High Re-solution 3D Reconstructions of Rocks and Composites[J]. Oil & Gas Science & Technology, 1999, 54(4):497-511.
[3] Arns C. H. The Influence of Morphology on Physical Properties of Reservoir Rocks[D]. Sydney: The University of New South Wales, 2002.
[4] 姚军,赵秀才,衣艳静,等. 数字岩心技术现状及展望[J]. 油气地质与采收率,2005,12(6):52-54. Yao Jun, Zhao Xiucai, Yi Yanjing, et al. Status and Prospect on Digital Core Technology[J]. Petroleum Geology and Recovery Efficiency, 2005,12(6):52-54.
[5] 谢一婷. 基于数字岩心技术的低渗油藏渗流机理及合理井距研究[D].成都:西南石油大学,2013. Xie Yiting. The Research of Seepage Flow in Low Permeability Reservoir and the Reasonable Well Spacing Based on Digital Core Technology[D]. Chengdu: Southwest Petroleum University, 2013.
[6] Joshi M. A Class of Stochastic Models for Porous Media[D]. Lawrence Kansas: University of Kansas, 1974.
[7] Hazlett R D. Statistical Characterization and Stochastic Modeling of Pore Networks in Relation to Fluid Flow[J]. Mathematical Geosciences, 1997, 29(6):801-822.
[8] Bakke S, Ren P E. 3-D Pore-Scale Modelling of Sandstones and Flow Simulations in the Pore Networks[J]. Spe Journal, 1997, 2(2):136-149.
[9] Arns C H, Averdunk H, Bauget F, et al. Digital Core Laboratory: Reservoir Core Analysis from 3D Images[C]// The 6th North America Rock Mechanics Symposium (NARMS). Houston: American Rock Mechanics Association, 2004: ARMA-04-498.
[10] 刘洋. 过程法构建数字岩心技术[D].青岛:中国石油大学(华东),2007. Liu Yang. Construction of Digital Core by Process-Based Simulation Method[D]. Qingdao: China University of Petroleum (East China), 2007.
[11] Youssef S, Rosenberg E, Gland N F, et al. High Resolution CT And Pore-Network Models To Assess Petrophysical Properties Of Homogeneous And Heterogeneous Carbonates[C]// Reservoir Characterization and Simulation Conference. Abu Dhabi: Society of Petroleum Engineers. doi:10.2118/111427-MS.
[12] Ryazanov A V, Sorbie K S, Dijke M I J V. Structure of Residual Oil as a Function of Wettability Using Pore-Network Modelling[J]. Advances in Water Resources, 2014, 63(2):11-21.
[13] 刘向君,朱洪林,梁利喜. 基于微CT技术的砂岩数字岩石物理实验[J]. 地球物理学报, 2014, 57(4):1133-1140. Liu Xiangjun, Zhu Honglin, Liang Lixi. Digital Rock Physics of Sandstone Based on Micro-CT Technology[J]. Chinese Journal of Geophysics, 2014, 57(4): 1133-1140.
[14] 李易霖, 张云峰, 丛琳,等. X-CT扫描成像技术在致密砂岩微观孔隙结构表征中的应用:以大安油田扶余油层为例[J]. 吉林大学学报(地球科学版), 2016, 46(2):379-387. Li Yilin, Zhang Yunfeng, Cong Lin, et al. Application of X-CT Scanning Technique in the Characterization of Micro Pore Structure of Tight Sandstone Reservoir: An Example from Fuyu Oil Layer in Daan Oil Filed[J]. Journal of Jilin University (Earth Science Edition), 2016, 46(2): 379-387.
[15] Pan C, Hilpert M, Miller C T. Lattice-Boltzmann Simulation of Two-Phase Flow in Porous Media[J]. Water Resources Research, 2004, 40(1):62-74.
[16] 屈乐. 基于低渗透储层的三维数字岩心建模及应用[D].西安:西北大学,2014. Qu Le. Modeling and Application of Three-Dimensional Digital Cores of Low Permeability Reservoir[D]. Xi'an: Northwestern University, 2014.
[17] 刘学锋,张伟伟,孙建孟. 三维数字岩心建模方法综述[J]. 地球物理学进展,2013,28(6):3066-3072. Liu Xuefeng, Zhang Weiwei, Sun Jianmeng. Methods of Constructing 3-D Digital Cores: A Review[J]. Progress in Geophysical, 2013,28(6):3066-3072.
[18] 王晨晨,姚军,杨永飞,等. 基于CT扫描法构建数字岩心的分辨率选取研究[J]. 科学技术与工程,2013,13(4):1049-1052. Wang Chenchen, Yao Jun, Yang Yongfei, et al. The Research of Selected Resolution Based on CT Scanning Method for Constructing Digital Core[J]. Science, Technology and Engineering, 2013,13(4):1049-1052.
[19] 张爽,周慧鑫,牛肖雪,等. 基于非局部均值滤波与时域高通滤波的非均匀性校正算法[J]. 光子学报,2014,43(1):147-150. Zhang Shuang, Zhou Huixin, Niu Xiaoxue, et al. Temporal High-Pass Filter Nonunifority Correction Algorithm Based on Non-Local Means Filter for Infrared Focal Plane Array[J]. Acta Photonica Sinica, 2014, 43(1): 147-150.
[20] 杨山. 基于驱替实验及数字岩心的微观剩余油研究[D].青岛:中国石油大学(华东),2015. Yang Shan.The Research of Microscopic Remaining Oil on the Basis of Displacement Experiment and Digital Core[D]. Qingdao: China University of Petroleum (East China), 2015.
[21] 任奕明. 微观水驱油网络模拟研究[D].成都:西南石油大学,2014. Ren Yiming. The Network Simulation of Microscopic Water Flooding[D]. Chengdu: Southwest Petroleum University, 2014.
[22] Mohammadmoradi P, Kantzas A. Pore-Scale Perme-ability Calculation Using CFD and DSMC Techniques[J]. Journal of Petroleum Science & Engineering, 2016, 146:515-525.
[1] Lin Miruo, Cao Yingchang, Xi Kelai, Wang Jian, Chen Hong, Wu Junjun. Characteristics and Controlling Factors of Permian Reservoirs in Eastern Slope of Fukang Sag [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(4): 991-1007.
[2] Zhao Qianping, Zhang Lixia, Yin Jintao, Yu Yuxi, Jiang Chengfu, Wang Hui, Gao Chao. Pore Structure and Physical Characteristics of Shale Reservoir Interbedded with Silty Layers: An Example from Zhangjiatan Lacustrine Shale [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(4): 1018-1029.
[3] Zheng Guolei, Xu Xinxue, Li Shibin, Yuan Hang, Ma Wei, Ye Qing. Inversion of Gravity Data in Tianjin [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(4): 1221-1230.
[4] Jia Yancong, Cao Yingchang, Lin Changsong, Wang Jian. Formation Mechanism and Distribution of High-Quality Reservoirs for Beach-Bar Sandstones in Upper Part of Es4 in Boxing Sag, Dongying Depression [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(3): 652-664.
[5] Feng Xiaolong, Ao Weihua, Tang Xuan. Characteristics of Pore Development and Its Main Controlling Factors of Continental Shale Gas Reservoirs: A Case Study of Chang 7 Member in Ordos Basin [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(3): 678-692.
[6] Li Jianping, Weng Aihua, Li Shiwen, Li Dajun, Li Sirui, Yang Yue, Tang Yu, Zhang Yanhui. 3-D Forward Method for Geomagnetic Depth Sounding Based on Finite Difference Method in Spherical Coordinate [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 411-419.
[7] Yin Changchun, Lu Yongchao, Liu Yunhe, Zhang Bo, Qi Yanfu, Cai Jing. Multigrid Quasi-Linear Approximation for Three-Dimensional Airborne EM Forward Modeling [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(1): 252-260.
[8] An Zhenfang, Zhang Jin, Zhang Jianzhong. Geometry Optimization Design of Three Dimensional Marine Vertical Cable [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(1): 271-284.
[9] Cui Likai, Sun Jianmeng, Yan Weichao, Gao Yinshan, Wang Hongjun, Song Liyuan. Construction of Multi-Scale and -Component Digital Cores Based on Fusion of Different Resolution Core Images [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(6): 1904-1912.
[10] Weng Aihua, Li Sirui, Yang Yue, Li Dajun, Li Jianping, Li Shiwen. Basic Principle, Current Status and Prospect of Magnetometric Resistivity [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(6): 1838-1854.
[11] Zhang Baoyi, Yang Li, Chen Xiaoyang, Deng Hao, Mao Xiancheng. Regional Metallogenic Geo-Bodies 3D Modeling and Mineral Resource Assessment Based on Geologic Map Cut Cross-Sections: A Case Study of Manganese Deposits in Southwestern Guangxi, China [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(3): 933-948.
[12] Dong Weihong, Meng Ying, Wang Yushan, Wu Xiancang, Lü Ying, Zhao Hui. Hydrochemical Characteristics and Formation of the Shallow Groundwater in Fujin,Sanjiang Plain [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(2): 542-553.
[13] Song Zhi, Deng Ronggui, Chen Zeshuo, Feng Wei. Physical Simulation and Early Identification of Dadu River Blocking Due to Moxi River Debris Flow [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(1): 163-170.
[14] Wu Zhichun, Guo Fusheng, Lin Ziyu, Hou Manqing, Luo Jianqun. Technology and Method of Multi-Data Merging in 3D Geological Modeling [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(6): 1895-1913.
[15] Zhang Yuqing, Wang Hui, Fan Ting'en, Song Laiming, Nie Yan, Liang Xu, Chen Fei. Granite Buried Hill Reservoir Characterization and Modeling:Taking Offshore a Oilfield in Bohai Bay as an Example [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(5): 1312-1320.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd