Partitioning of Porosity for Carbonate Reservoirs Using Differential Effective Medium Models

被引:1
|
作者
Singh, Kumar Hemant [1 ]
Kumar, Anil [1 ]
Pandit, Sanjay [1 ]
Soni, Ashok [1 ]
机构
[1] Indian Inst Technol, Mumbai 400076, Maharashtra, India
来源
PETRO-PHYSICS AND ROCK PHYSICS OF CARBONATE RESERVOIRS: LIKELY ELUCIDATIONS AND WAY FORWARD | 2020年
关键词
Differential effective medium; SEM; Porosity partition; Carbonate reservoir; PORE SYSTEM; VELOCITY; SCHEME; MODULI; WAVES;
D O I
10.1007/978-981-13-1211-3_10
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Carbonate reservoirs are extremely heterogeneous owing to its variation in primary and secondary porosity types that affect the elastic properties of the reservoir. The Differential Effective Medium modelling approach is applied to determine the elastic properties of rocks and porosity partitioning of carbonate reservoir located in the western offshore region, India. The modelling requires the input from sonic derived logs and experimental data from the core samples. The Scanning Electron Microscope images of cores from two different depths are analyzed by watershed algorithm and binary digitization method to quantify the type of pores into cracks, interparticle and stiff defined by their aspect-ratios. The sonic velocities were inverted using Sequential Least-Squares Programming (SLSQP) optimization technique for the entire depth range of the well log from X110.20 m to X611.90 m. The partitioning of porosity derived by the DEM technique provides the relative percentage of the porosity types with depth and varies between 2 and 28% for the carbonate reservoir. In the reservoir section, most of porosity is contributed from stiff and interparticle types while the cracks contribute less than 20% of the total porosity.
引用
收藏
页码:129 / 143
页数:15
相关论文
共 50 条
  • [41] General anisotropic effective medium theory for the effective permeability of heterogeneous reservoirs
    Fokker, PA
    TRANSPORT IN POROUS MEDIA, 2001, 44 (02) : 205 - 218
  • [42] Effective medium theory of the porosity dependence of bulk moduli
    Munro, RG
    JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 2001, 84 (05) : 1190 - 1192
  • [43] Modified approach to estimate effective porosity using density and neutron logging data in conventional and unconventional reservoirs
    Abid, Muhammad
    Ba, Jing
    Markus, Uti Ikitsombika
    Tariq, Zeeshan
    Ali, Syed Haroon
    JOURNAL OF APPLIED GEOPHYSICS, 2025, 233
  • [44] Borehole Condition and Limit Pressure Differential Analysis in Carbonate Reservoirs
    Wang, Long
    Su, Peng
    Tan, Qiang
    Li, Ke
    Hu, Naikun
    APPLIED SCIENCES-BASEL, 2024, 14 (13):
  • [45] Carbonate Reservoir Characterization with Pore Type Inversion Using Differential Effective Medium (DEM) Model at "X" Field, East Java']Java
    Rosid, M. S.
    Wahyuni, S. D.
    Haidar, M. W.
    INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2016 (ISCPMS 2016), 2017, 1862
  • [46] Justification of the boundary values of open porosity and gas permeability using data from flow studies for porous carbonate reservoirs
    Sidorov, S. V.
    Rizvanova, Z. M.
    GEORESURSY, 2023, 25 (04) : 115 - 120
  • [47] New insights into porosity determination using artificial intelligence techniques for carbonate reservoirs (vol 4, pg 408, 2018)
    Elkatatny, Salaheldin
    PETROLEUM, 2021, 7 (02) : 243 - 244
  • [48] Reducing formation damage to low-porosity and low-permeability CBM reservoirs using calcium carbonate nanoparticles
    Gu, Sui
    Cai, Jihua
    Chang, Dewu
    Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 2015, 40 (06): : 1093 - 1100
  • [49] Sandstone vs. carbonate petroleum reservoirs: A global perspective on porosity-depth and porosity-permeability relationships
    Ehrenberg, SN
    Nadeau, PH
    AAPG BULLETIN, 2005, 89 (04) : 435 - 445
  • [50] Lessons for machine learning from the analysis of porosity-permeability transforms for carbonate reservoirs
    Male, Frank
    Duncan, Ian J.
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 187 (187)