Simulation of Rock Electrical Properties in Deep Reservoirs Based on Digital Rock Technology

被引:2
作者
Shang, Suogui [1 ]
Gao, Qiangyong [1 ]
Cui, Yunjiang [2 ]
Wang, Peichun [2 ]
Zhang, Zhang [3 ]
Yuan, Yadong [4 ]
Yan, Weichao [5 ,6 ,7 ]
Chi, Peng [8 ]
机构
[1] China Natl Offshore Oil Corp Ltd, Tianjin Branch, Tianjin 300459, Peoples R China
[2] China Natl Offshore Oil Corp Ltd, Bohai Oilfield Res Inst, Tianjin Branch, Tianjin 300459, Peoples R China
[3] China Oilfield Serv Ltd, Well Tech Dept, COSL, Sanhe 065201, Peoples R China
[4] EnerTech Drilling & Prod Co, China Natl Offshore Oil Corp, Tianjin 300452, Peoples R China
[5] Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Key Lab Submarine Geosci & Prospecting Tech, MOE, Qingdao 266100, Peoples R China
[6] Ocean Univ China, Coll Marine Geosci, Qingdao 266100, Peoples R China
[7] Deep Sea Multidisciplinary Res Ctr, Natl Lab Marine Sci & Technol Qingdao, Qingdao 266237, Peoples R China
[8] China Univ Petr East China, Sch Geosci, Qingdao 266580, Peoples R China
基金
中国国家自然科学基金;
关键词
digital rock physics; high pressure and high temperature; deep reservoirs; rock electrical properties; RESISTIVITY; CONDUCTIVITY; SATURATION; PRESSURE; TEMPERATURE; LOG;
D O I
10.3390/pr11061758
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Deep reservoirs are in a high-pressure and high-temperature (HPHT) environment, while the experimental conditions for rock electrical properties that meet the deep reservoir conditions are harsh and costly. Although digital rock technology can simulate the electrical properties of rocks, it is limited to electrical simulation studies under normal temperature and pressure conditions (NPT), which limits their ability to capture the electrical characteristics of deep hydrocarbon reservoirs. This limitation affects the accuracy of saturation prediction based on resistivity logging. To simulate the rock electrical properties under HPHT conditions, we proposed a low-cost and high-efficiency HPHT digital rock electrical simulation workflow. Firstly, samples from deep formations were CT-scanned and used to construct multi-component digital rocks that reflect the real microstructure of the samples. Then, mathematical morphology was used to simulate the overburden correction under high-pressure conditions, and the changes in the conductivity of formation water and clay minerals at different temperatures were used to simulate the conductivity changes of rock components under high-temperature conditions. To carry out the electrical simulation of digital rock in deep reservoirs, a numerical simulation condition for HPHT in deep layers was established, and the finite element method (FEM) was used. Finally, based on the equivalent changes in the conductivity of different components, the effects of clay minerals and formation water under HPHT conditions on rock electrical properties were studied and applied to predict the water saturation based on well logging data. We found that considering the influence of temperature, salinity, and clay type, the saturation index (n) of the rock depends on the ratio of the clay conductivity to the formation water conductivity. The larger the ratio is, the smaller the value of n. In addition, the average relative error between the predicted water saturation under HPHT conditions and the sealed coring analysis was 6.8%, which proved the accuracy of the proposed method. Overall, this method can effectively simulate the pressure and temperature environment of deep formations, reveal the electrical conductivity mechanisms of rocks under formation pressure and temperature conditions, and has promising prospects for the study of rock physical properties and reservoir evaluation in deep formations.
引用
收藏
页数:19
相关论文
共 43 条
  • [1] Aboujafar S.M., 2013, P 2013 N AFR TECHN C
  • [2] Reservoir heterogeneity and fracture parameter determination using electrical image logs and petrophysical data (a case study, carbonate Asmari Formation, Zagros Basin, SW Iran)
    Aghli, Ghasem
    Moussavi-Harami, Reza
    Mohammadian, Ruhangiz
    [J]. PETROLEUM SCIENCE, 2020, 17 (01) : 51 - 69
  • [3] Ali N., 2022, Geosystems Geoenvironment, V1, P100058, DOI [10.1016/j.geogeo.2022.100058, DOI 10.1016/J.GEOGEO.2022.100058]
  • [4] Investigation of coal elastic properties based on digital core technology and finite element method
    Andhumoudine, Ahmada Bacar
    Nie, Xin
    Zhou, Qingbo
    Yu, Jie
    Kane, Oumar Ibrahima
    Jin, Longde
    Djaroun, Roufida Rana
    [J]. ADVANCES IN GEO-ENERGY RESEARCH, 2021, 5 (01): : 53 - 63
  • [5] The electrical resistivity log as an aid in determining some reservoir characteristics
    Archie, GE
    [J]. TRANSACTIONS OF THE AMERICAN INSTITUTE OF MINING AND METALLURGICAL ENGINEERS, 1942, 146 : 54 - 61
  • [6] Conductivity in partially saturated porous media described by porosity, electrolyte saturation and saturation-dependent tortuosity and constriction factor
    Berg, Carl Fredrik
    Kennedy, W. David
    Herrick, David C.
    [J]. GEOPHYSICAL PROSPECTING, 2022, 70 (02) : 400 - 420
  • [7] EFFECT OF PRESSURE ON ELECTRICAL RESISTIVITY OF WATER-SATURATED CRYSTALLINE ROCKS
    BRACE, WF
    ORANGE, AS
    MADDEN, TR
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH, 1965, 70 (22): : 5669 - +
  • [8] Advances in multiscale rock physics for unconventional reservoirs
    Cai, Jianchao
    Zhao, Luanxiao
    Zhang, Feng
    Wei, Wei
    [J]. ADVANCES IN GEO-ENERGY RESEARCH, 2022, 6 (04): : 271 - 275
  • [9] Fan YF, 2020, PETROPHYSICS, V61, P352
  • [10] Gärttner S, 2023, COMPUTAT GEOSCI, V27, P263, DOI 10.1007/s10596-023-10196-4