Potential for CO2 plume geothermal and CO2 storage in an onshore Red Sea Rift basin, Al-Wajj, Saudi Arabia: 3D reservoir modeling and simulations

被引:3
|
作者
Yalcin, Bora [1 ]
Ezekiel, Justin [1 ]
Mai, P. Martin [1 ]
机构
[1] King Abdullah Univ Sci & Technol, Phys Sci & Engn Div, Thuwal 239556900, Saudi Arabia
关键词
3D geomodels; Multiple points statistics; CO2 plume geothermal; CO2; storage; Reservoir simulations; Red Sea Rift basins; ELECTRIC-POWER OUTPUT; HEAT-FLOW; CPG; AQUIFERS; SYSTEMS; ENERGY;
D O I
10.1016/j.geothermics.2024.102966
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Using supercritical CO2 instead of water for geothermal energy extraction offers advantages while enabling CO2 sequestration. The integration of CO2 capture, utilization, and storage (CCUS) in geothermal reservoirs aligns with circular carbon economy models and supports the goals of sustainable energy development. The geothermal potential of deep saline aquifers, like in the young and high -heat -flux Red Sea rift basins of western Saudi Arabia, holds promise for geothermal heat extraction and CO2 storage. However, quantitatively assessing the geothermal and carbon storage potential requires a comprehensive characterization of physical parameters specific to the target aquifer units. This study presents a detailed 3D reservoir modeling of a sedimentary basin example (Al-Wajj basin) in Western Saudi Arabia developed using advanced geostatistical techniques and a state-of-the-art CO2 fluid flow simulator. We constrain physical parameters and provide estimates of the target aquifers' recoverable geothermal energy and CO2 storage capacity. We develop a 3D trend model that arranges the spatial changes in the high permeable sandstone volume distribution and we obtain the weighted average of sandstone percentage in the model area. We build the geostatistical model using multiple -point statistics simulations with a training image that represents spatial dependence of facies changes of submarine channels in a syn-rift clastic system along the target basin with respect to slope distance. For a 10% heat recovery threshold, our simulation results indicate above 41% permeable sandstone volume is necessary. Our reservoir simulation results further indicate the potential to produce 790 TWh of geothermal energy in a 40 -year injection-production scenario and to store 76.5 Giga-tonnes of CO2 in the Burqan and Umluj units of the Al-Wajj basin. Our simulation includes a modified fluid model of CO2 solubility in brine, that is capable of explicitly representing the heat exchange and flow characteristics of both dissolved CO2 and supercritical CO2 within the reservoir, unveiling a close connection between the heat recovery process and the movement of the cold, dissolved CO2 within the formation brine. Our study thus contributes to understanding geostatistical reservoir modeling, for geothermal reservoirs, particularly for syn-rift submarine clastic systems. It also provides valuable insights into the heat recovery mechanisms in CO2 plume geothermal (CPG) systems. Overall, this study offers a stepping stone toward the sustainable harnessing of geothermal energy recovery and CO2 storage to reduce carbon emissions in the energy sector.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] 3D seismic forward modeling from the multiphysical inversion at the Ketzin CO2 storage site
    Zheng, Yi-kang
    Wang, Chong
    Liang, Hao-hong
    Wang, Yi-bo
    Zeng, Rong-shu
    APPLIED GEOPHYSICS, 2024, 21 (03) : 593 - 605
  • [22] Preliminary Numerical Modeling of CO2 Geological Storage in the Huangcaoxia Gas Reservoir in the Eastern Sichuan Basin, China
    Lei, Hongwu
    Zhang, Qian
    Li, Xiaochun
    GEOFLUIDS, 2019, 2019
  • [23] 2-D numerical modeling of CO2-water-caprock interactions at a potential CO2 storage site in Turkey
    Dalkhaa, Chantsalmaa
    Okandan, Ender
    GEOCHEMICAL JOURNAL, 2013, 47 (05) : 499 - 511
  • [24] Potential evaluation of CO2 storage and enhanced oil recovery of tight oil reservoir in the Ordos Basin, China
    Tian, Xiaofeng
    Cheng, Linsong
    Cao, Renyi
    Zhang, Miaoyi
    Guo, Qiang
    Wang, Yimin
    Zhang, Jian
    Cui, Yu
    JOURNAL OF ENVIRONMENTAL BIOLOGY, 2015, 36 (04): : 789 - 797
  • [25] 3D implicit modeling applied to the evaluation of CO2 geological storage in the shales of the Irati Formation, Parana Basin, Southeastern Brazil
    de Oliveira, Saulo B.
    Tassinari, Colombo C. G.
    Abraham-A, Richardson M.
    Torresi, Ignacio
    GREENHOUSE GASES-SCIENCE AND TECHNOLOGY, 2021, 11 (05): : 1024 - 1042
  • [26] 3D implicit modeling applied to the evaluation of CO2 geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil
    Universidade de São Paulo – IEE-USP, São Paulo
    SP, Brazil
    不详
    不详
    Greenh. Gases Sci. Technol., 2021, 5 (1024-1042):
  • [27] 3D geological model of potential CO2 storage: Abandoned oil and gas field LBr-1 in the Vienna basin
    Francu, Juraj
    Pereszlenyi, Miroslav
    Riis, Fridtjof
    Prokop, Ondrej
    Jurenka, Lukas
    Hladik, Vit
    Krejci, Oldrich
    13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13, 2017, 114 : 2772 - 2780
  • [28] 3D geomechanical modeling for CO2 geological storage in faulted formations. A case study in an offshore northern Adriatic reservoir, Italy
    Teatini, Pietro
    Castelletto, Nicola
    Gambolati, Giuseppe
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2014, 22 : 63 - 76
  • [29] 3D grid based screening process for large-scale CO2 geological storage in Gunsan Basin, Yellow Sea, Korea
    Shinn, Young Jae
    Lee, Hyun Suk
    Lee, Youngmin
    Song, Insun
    Park, Myong-Ho
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2020, 99
  • [30] Seismic characterization and monitoring of a deep CO2 storage reservoir with 3D VSP using direct shear waves
    Klokov, Alexander
    Hardage, Bob
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2017, 155 : 109 - 119